Publications
| 2024 |
Competition of Mechanisms: Tracing How Language Models Handle Facts and Counterfactuals
Francesco Ortu, Zhijing Jin, Diego Doimo, Mrinmaya Sachan, Alberto Cazzaniga, Bernhard Schölkopf Annual Meeting of the Association for Computational Linguistics (ACL), 2024
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| 2024 |
CausalCite: A Causal Formulation of Paper Citations
Ishan Kumar, Zhijing Jin, Ehsan Mokhtarian, Siyuan Guo, Yuen Chen, Mrinmaya Sachan, Bernhard Schölkopf Annual Meeting of the Association for Computational Linguistics (ACL), 2024
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| 2024 |
Can Large Language Models Infer Causation from Correlation?
Zhijing Jin, Jiarui Liu, Zhiheng Lyu, Spencer Poff, Mrinmaya Sachan, Rada Mihalcea, Mona Diab, and Bernhard Schölkopf International Conference on Learning Representations (ICLR), 2024
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| 2024 |
SimReadUntil for benchmarking selective sequencing algorithms on ONT devices
MaximilianMordig, Gunnar Rätsch, and André Kahles Bioinformatics, Volume 40, Issue 5, May 2024, btae199
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| 2024 |
Identifying Terrain Physical Parameters from Vision - Towards Physical Parameter-Aware Locomotion and Navigation
Jiaqi Chen, Jonas Frey, Ruyi Zhou, Takahiro Miki, Georg Martius, Marco Hutter IEEE Robotics and Automation Letters RA-L 2024 (accepted)
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| 2024 |
Autonomous Forest Inventory with Legged Robots: System Design and Field Deployment
Matías Mattamala, Nived Chebrolu, Benoit Casseau, Leonard Freißmuth, Jonas Frey, Turcan Tuna, Marco Hutter, Maurice Fallon Workshop on Field Robotics at ICRA 2024
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| 2024 |
Wild Visual Navigation: Fast Traversability Learning via Pre-Trained Models and Online Self-Supervision
Matías Mattamala, Jonas Frey, Piotr Libera, Nived Chebrolu, Georg Martius, Cesar Cadena, Marco Hutter, Maurice Fallon Autonomous Robots (under review)
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| 2024 |
Learning with 3D rotations, a hitchhiker's guide to SO (3)
A. René Geist, Jonas Frey, Mikel Zobro, Anna Levina, Georg Martius International Conference on Machine Learning (ICML), 2024
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| 2024 |
Informed, Constrained, Aligned: A Field Analysis on Degeneracy-aware Point Cloud Registration in the Wild
Turcan Tuna, Julian Nubert, Patrick Pfreundschuh, Cesar Cadena, Shehryar Khattak, Marco Hutter IEEE T-FR (Transactions on Field Robotics) (under review)
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| 2024 |
UniDepth: Universal Monocular Metric Depth Estimation
Luigi Piccinelli, Yung-Hsu Yang, Christos Sakaridis, Mattia Segu, Siyuan Li, Luc Van Gool, Fisher Yu IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2024
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| 2024 |
Know Your Neighbors: Improving Single-View Reconstruction via Spatial Vision-Language Reasoning
Rui Li, Tobias Fischer, Mattia Segu, Marc Pollefeys, Luc Van Gool, Federico Tombari IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2024
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| 2024 |
Matching Anything by Segmenting Anything
Siyuan Li, Lei Ke, Martin Danelljan, Luigi Piccinelli, Mattia Segu, Luc Van Gool, Fisher Yu IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2024
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| 2024 |
Position: Understanding LLMs Requires More Than Statistical Generalization
Patrik Reizinger, Szilvia Ujváry, Anna Mészáros, Anna Kerekes, Wieland Brendel, Ferenc Huszár International Conference on Machine Learning (ICML), 2024 (Spotlight)
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| 2024 |
MultiViPerFrOG: A Globally Optimized Multi-Viewpoint Perception Framework for Camera Motion and Tissue Deformation
Guido Caccianiga, Julian Nubert, Cesar Cadena, Marco Hutter, Katherine J. Kuchenbecker Preprint arXiv:2408.04367
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| 2024 |
Segment3D: Learning Fine-Grained Class-Agnostic 3D Segmentation without Manual Labels
Rui Huang, Songyou Peng, Ayça Takmaz, Federico Tombari, Marc Pollefeys, Shiji Song, Gao Huang, Francis Engelmann European Conference on Computer Vision (ECCV), 2024
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| 2024 |
NeRF On-the-go: Exploiting Uncertainty for Distractor-free NeRFs in the Wild
Weining Ren*, Zihan Zhu*, Boyang Sun, Jiaqi Chen, Marc Pollefeys, Songyou Peng (* equal contribution) IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2024
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| 2024 |
3D Neural Edge Reconstruction
Lei Li, Songyou Peng, Zehao Yu, Shaohui Liu, Rémi Pautrat, Xiaochuan Yin, Marc Pollefeys IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2024
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| 2024 |
Renovating Names in Open-Vocabulary Segmentation Benchmarks
Haiwen Huang, Songyou Peng, Dan Zhang, Andreas Geiger Preprint arXiv:2403.09593
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| 2024 |
NICER-SLAM: Neural Implicit Scene Encoding for RGB SLAM
Zihan Zhu*, Songyou Peng*, Viktor Larsson, Zhaopeng Cui, Martin R. Oswald, Andreas Geiger, Marc Pollefeys (* equal contribution) International Conference on 3D Vision (3DV), 2024 (Oral, Best Paper Honorable Mention)
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| 2024 |
Discovering and Using Structure in Autonomous Machine Learning
Andrii Zadaianchuk Doctoral Thesis, ETH Zurich
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| 2024 |
Shapley Pruning for Neural Network Compression
Kamil Adamczewski, Yawei Li, Luc van Gool Preprint arXiv:2407.15875
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| 2024 |
Towards a Systems Theory of Algorithms
Florian Dörfler, Zhiyu He, Giuseppe Belgioioso, Saverio Bolognani, John Lygeros, Michael Muehlebach IEEE Control Systems Letters, vol. 8, pp. 1198-1210, 2024
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| 2024 |
Optimization algorithms as robust feedback controllers
Adrian Hauswirth, Zhiyu He, Saverio Bolognani, Gabriela Hug, and Florian Dörfler Annual Reviews in Control, 57(100941), 2024
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| 2024 |
Gray-Box Nonlinear Feedback Optimization
Zhiyu He, Saverio Bolognani, Michael Muehlebach, Florian Dörfler Preprint arXiv:2404.04355
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| 2024 |
Dream-in-4D: A Unified Approach for Text- and Image-guided 4D Scene Generation
Yufeng Zheng, Xueting Li, Koki Nagano, Sifei Liu, Karsten Kreis, Otmar Hilliges, Shalini De Mello IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2024
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| 2024 |
ChatPose: Chatting about 3D Human Pose
Yao Feng, Jing Lin, Sai Kumar Dwivedi, Yu Sun, Priyanka Patel, Michael J. Black IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2024
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| 2024 |
TokenHMR: Advancing Human Mesh Recovery with a Tokenized Pose Representation
Sai Kumar Dwivedi*, Yu Sun*, Priyanka Patel, Yao Feng, Michael J. Black (*Equal contribution) IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2024
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| 2024 |
MonoHair: High-Fidelity Hair Modeling from a Monocular Video
Keyu Wu, Lingchen Yang, Zhiyi Kuang, Yao Feng, Xutao Han, Yuefan Shen, Hongbo Fu, Kun Zhou, Youyi Zheng IEEE International Conference on Robotics and Automation (ICRA), 2024
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| 2024 |
Ghost on the Shell: An Expressive Representation of General 3D Shapes
Zhen Liu, Yao Feng*, Yuliang Xiu*, Weiyang Liu, Liam Paull, Michael J. Black ‡, Bernhard Schölkopf ‡ (*Equal contribution, ‡Shared last author) International Conference on Learning Representations (ICLR), 2024 (Oral)
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| 2024 |
Parameter-Efficient Orthogonal Finetuning via Butterfly Factorization
Weiyang Liu*, Zeju Qiu1*, Yao Feng**, Yuliang Xiu**, Yuxuan Xue**, Longhui Yu**, Haiwen Feng, Zhen Liu, Juyeon Heo, Songyou Peng, Yandong Wen, Michael J. Black, Adrian Weller, Bernhard Schölkopf (*Joint first author, **Joint second author) International Conference on Learning Representations (ICLR), 2024
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| 2024 |
TECA: Text-Guided Generation and Editing of Compositional 3D Avatars
Hao Zhang*, Yao Feng*, Peter Kulits, Yandong Wen, Justus Thies, Michael J. Black (*Equal contribution) International Conference on 3D Vision (3DV 2024)
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| 2024 |
Causal Inference from Competing Treatments
Ana-Andreea Stoica, Vivian Yvonne Nastl, Moritz Hardt International Conference on Machine Learning (ICML), 2024
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| 2024 |
Predictors from causal features do not generalize better to new domains
Vivian Y. Nastl, Moritz Hardt Preprint arXiv:2402.09891
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| 2024 |
HAAR: Text-Conditioned Generative Model of 3D Strand-based Human Hairstyles
Vanessa Sklyarova, Egor Zakharov, Otmar Hilliges, Michael J. Black and Justus Thies IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2024
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| 2024 |
Inferring Atmospheric Properties of Exoplanets with Flow Matching and Neural Importance Sampling
Timothy D. Gebhard, Jonas Wildberger, Maximilian Dax, Daniel Angerhausen, Sascha P. Quanz, Bernhard Schölkopf "AI to Accelerate Science and Engineering (AI2ASE)" workshop at AAAI 2024
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| 2024 |
Use the 4S (Signal-Safe Speckle Subtraction): Explainable Machine Learning reveals the Giant Exoplanet AF Lep b in High-Contrast Imaging Data from 2011
Markus J. Bonse, Timothy D. Gebhard, Felix A. Dannert, Olivier Absil, Faustine Cantalloube, Valentin Christiaens, Gabriele Cugno, Emily O. Garvin, Jean Hayoz, Markus Kasper, Elisabeth Matthews, Bernhard Schölkopf, Sascha P. Quanz Preprint arXiv:2406.01809
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| 2024 |
Parameterizing pressure–temperature profiles of exoplanet atmospheres with neural networks
Timothy D. Gebhard, Daniel Angerhausen, Björn S. Konrad, Eleonora Alei, Sascha P. Quanz and Bernhard Schölkopf Astronomy & Astrophysics (A&A), 681 (2024) A3
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| 2024 |
Transformer Fusion with Optimal Transport
Moritz Imfeld, Jacopo Graldi, Marco Giordano, Thomas Hofmann, Sotiris Anagnostidis and Sidak Pal Singh International Conference on Learning Representations (ICLR), 2024
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| 2024 |
Some Fundamental Aspects about Lipschitz Continuity of Neural Networks
Grigory Khromov and Sidak Pal Singh International Conference on Learning Representations (ICLR), 2024
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| 2024 |
Rethinking Attention: Exploring Shallow Feed-Forward Neural Networks as an Alternative to Attention Layers in Transformers (Student Abstract)
Vukasin Bozic, Danilo Dordevic, Daniele Coppola, Joseph Thommes, Sidak Pal Singh Proceedings of the AAAI Conference on Artificial Intelligence, 38(21), 23477-23479
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| 2024 |
Immune Cell‐Based Microrobots for Remote Magnetic Actuation, Antitumor Activity, and Medical Imaging
Nihal Olcay Dogan, Eylül Suadiye, Paul Wrede, Jelena Lazovic, Cem Balda Dayan, Ren Hao Soon, Amirreza Aghakhani, Gunther Richter, Metin Sitti Adv. Healthcare Mater. 2024, 2400711
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| 2024 |
Roadmap for Clinical Translation of Mobile Microrobotics
Ugur Bozuyuk, Paul Wrede, Erdost Yildiz, Metin Sitti Adv. Mater. 2024, 36, 2311462
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| 2024 |
Message-Passing on Hypergraphs: Detectability, Phase Transitions and Higher-Order Information
Nicolò Ruggeri, Alessandro Lonardi, Caterina De Bacco Journal of Statistical Mechanics: Theory and Experiment, Volume 2024, April 2024
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| 2024 |
HMP: Hand Motion Priors for Pose and Shape Estimation from Video
Enes Duran, Muhammed Kocabas, Vasileios Choutas, Zicong Fan, Michael J. Black IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2024
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| 2024 |
Physically plausible full-body hand-object interaction synthesis
Jona Braun, Sammy Christen, Muhammed Kocabas, Emre Aksan, Otmar Hilliges International Conference on 3D Vision (3DV), 2024
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| 2024 |
PACE: Human and Camera Motion Estimation from in-the-wild Videos
Muhammed Kocabas, Ye Yuan, Pavlo Molchanov, Yunrong Guo, Michael J. Black, Otmar Hilliges, Jan Kautz, Umar Iqbal International Conference on 3D Vision (3DV), 2024 (Spotlight Presentation)
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| 2024 |
HUGS: Human Gaussian Splats
Muhammed Kocabas, Rick Chang, James Gabriel, Oncel Tuzel, Anurag Ranjan IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2024
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| 2024 |
HOLD: Category-agnostic 3D Reconstruction of Interacting Hands and Objects from Video
Zicong Fan, Maria Parelli, Maria Eleni Kadoglou, Muhammed Kocabas, Xu Chen, Michael J. Black, Otmar Hilliges IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2024 (Accepted as Highlight: Top 11.9%)
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| 2024 |
WANDR: Intention-guided Human Motion Generation
Markos Diomataris, Nikos Athanasiou, Omid Taheri, Xi Wang, Otmar Hilliges, Michael J. Black IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2024
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| 2024 |
Modelling Microbial Communities with Graph Neural Networks
Albane Ruaud, Cansu Sancaktar, Marco Bagatella, and Christoph Ratzke, Georg Martius International Conference on Machine Learning (ICML), 2024
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| 2024 |
Causal Action Influence Aware Counterfactual Data Augmentation
Núria Armengol Urpí, Marco Bagatella, Marin Vlastelica, and Georg Martius International Conference on Machine Learning (ICML), 2024
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| 2024 |
Generalization Bounds of Nonconvex-(Strongly)-Concave Stochastic Minimax Optimization
Siqi Zhang*, Yifan Hu*, Liang Zhang, Niao He (*equal contribution) International Conference on Artificial Intelligence and Statistics (AAISTATS), 2024
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| 2024 |
DPZero: Private Fine-Tuning of Language Models without Backpropagation
Liang Zhang, Bingcong Li, Kiran Koshy Thekumparampil, Sewoong Oh, Niao He International Conference on Machine Learning (ICML), 2024
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| 2024 |
Primal Methods for Variational Inequality Problems with Functional Constraints
Liang Zhang, Niao He, Michael Muehlebach Preprint arXiv:2403.12859
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| 2024 |
A Hessian-Aware Stochastic Differential Equation for Modelling SGD
Xiang Li, Zebang Shen, Liang Zhang, Niao He Preprint arXiv:2405.18373
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| 2024 |
RoadRunner - Learning Traversability Estimation for Autonomous Off-road Driving
Jonas Frey, Shehryar Khattak, Manthan Patel, Deegan Atha, Julian Nubert, Curtis Padgett, Marco Hutter, Patrick Spieler IEEE Transactions on Field Robotics (T-FR) (accepted)
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| 2024 |
Balancing a 3D Inverted Pendulum using Remote Magnetic Manipulation
Jasan Zughaibi, Bradley J. Nelson, and Michael Muehlebach Preprint arXiv:2402.06012
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| 2024 |
Stochastic Online Optimization for Cyber-Physical and Robotic Systems
Hao Ma, Melanie Zeilinger and Michael Muehlebach Preprint arXiv:2404.05318
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| 2024 |
Safe & Accurate at Speed with Tendons: A Robot Arm for Exploring Dynamic Motion
Simon Guist, Jan Schneider, Hao Ma, Le Chen, Vincent Berenz, Julian Martus, Heiko Ott, Felix Grüninger, Michael Muehlebach, Jonathan Fiene, Bernhard Schölkopf and Dieter Büchler Robotics: Science and Systems, July 2024 (accepted)
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| 2024 |
Stitching Manifolds: Leveraging Interaction to Compose Object Representations into Scenes
Hamza Keurti, Bernhard Schölkopf, Pau Vilimelis Aceituno, Benjamin F Grewe ICML 2024 Workshop on Geometry-grounded Representation Learning and Generative Modeling (GRaM)
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| 2024 |
Training on the Test Task Confounds Evaluation and Emergence
Ricardo Dominguez-Olmedo, Florian E. Dorner, Moritz Hardt arXiv preprint arXiv:2407.07890
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| 2024 |
Don’t Label Twice: Quantity Beats Quality when Comparing Binary Classifiers on a Budget
Florian E. Dorner and Moritz Hardt International Conference on Machine Learning (ICML), 2024
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| 2024 |
4D-DRESS: A 4D Dataset of Real-World Human Clothing With Semantic Annotations
Wenbo Wang, Hsuan-I Ho, Chen Guo, Boxiang Rong, Artur Grigorev, Jie Song, Juan Jose Zarate, Otmar Hilliges IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2024
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| 2024 |
ContourCraft: Learning to Resolve Intersections in Neural Multi-Garment Simulations
Artur Grigorev, Giorgio Becherini, Michael J. Black, Otmar Hilliges, Bernhard Thomaszewski ACM SIGGRAPH 2024 (inproceedings)
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| 2024 |
Do Language Models Exhibit the Same Cognitive Biases in Problem Solving as Human Learners?
Andreas Opedal, Alessandro Stolfo, Haruki Shirakami, Ying Jiao, Ryan Cotterell, Bernhard Schölkopf, Abulhair Saparov, Mrinmaya Sachan International Conference on Machine Learning (ICML), 2024
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| 2024 |
Dense 3D Reconstruction Through Lidar: A Comparative Study on Ex-vivo Porcine Tissue
Guido Caccianiga, Julian Nubert, Marco Hutter, Katherine J. Kuchenbecker arXiv preprint arXiv:2401.10709
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| 2024 |
Examining Common Paradigms in Multi-Task Learning
Cathrin Elich, Lukas Kirchdorfer, Jan M. Köhler and Lukas Schott German Conference for Pattern Recognition (GCPR), 2024 (accepted)
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| 2024 |
Learning Risk-Aware Quadrupedal Locomotion using Distributional Reinforcement Learning
Lukas Schneider, Jonas Frey, Takahiro Miki, Marco Hutter IEEE International Conference on Robotics and Automation (ICRA), 2024
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| 2024 |
Resilient Legged Local Navigation: Learning to Traverse with Compromised Perception End-to-End
Jin Jin, Chong Zhang, Jonas Frey, Nikita Rudin, Matias Mattamala, Cesar Cadena, Marco Hutter IEEE International Conference on Robotics and Automation (ICRA), 2024
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| 2024 |
ViPlanner: Visual Semantic Imperative Learning for Local Navigation
Pascal Roth, Julian Nubert, Fan Yang, Mayank Mittal, Marco Hutter IEEE International Conference on Robotics and Automation (ICRA), 2024 (accepted)
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| 2024 |
Framework to generate hypergraphs with community structure
Nicolò Ruggeri, Federico Battiston, Caterina De Bacco Physical Review E 109, 034309 (2024)
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| 2024 |
Model-Free Nonlinear Feedback Optimization
Zhiyu He, Saverio Bolognani, Jianping He, Florian Dörfler, and Xinping Guan IEEE Transactions on Automatic Control, vol. 69, no. 7, pp. 4554-4569, 2024
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| 2023 |
Beyond Good Intentions: Reporting the Research Landscape of NLP for Social Good
Fernando Gonzalez*, Zhijing Jin*, Jad Beydoun, Bernhard Schölkopf, Tom Hope, Mrinmaya Sachan, Rada Mihalcea (*Equal contribution) EMNLP 2023 Findings
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| 2023 |
CLadder: Assessing Causal Reasoning in Language Models
Zhijing Jin*, Yuen Chen*, Felix Leeb*, Luigi Gresele*, Ojasv Kamal, Zhiheng Lyu, Kevin Blin, Fernando Gonzalez, Max Kleiman-Weiner, Mrinmaya Sachan, Bernhard Schölkopf (*Main contributors) Advances in Neural Information Processing Systems (NeurIPS), 2023
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| 2023 |
Neural Scene Representations for 3D Reconstruction and Scene Understanding
Songyou Peng Doctoral Thesis, ETH Zurich
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| 2023 |
Pre-Pruning and Gradient-Dropping Improve Differentially Private Image Classification
Kamil Adamczewski, Yingchen He, Mijung Park Preprint arXiv:2306.11754
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| 2023 |
Differential privacy meets neural network pruning
Kamil Adamczewski, Mijung Park Preprint arXiv:2303.04612
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| 2023 |
Lidar Line Selection with Spatially-Aware Shapley Value for Cost-Efficient Depth Completion
Kamil Adamczewski, Christos Sakaridis, Vaishakh Patil, Luc Van Gool Proceedings of The 6th Conference on Robot Learning, PMLR 205:561-570, 2023
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| 2023 |
Differentially private neural tangent kernels for privacy-preserving data generation
Yilin Yang, Kamil Adamczewski, Danica J Sutherland, Xiaoxiao Li, Mijung Park Preprint arXiv:2303.01687
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| 2023 |
Less is More: Discovering Redundancies in Data and Neural Network Models for Improved Efficiency, Intrerpretability and Privacy
Kamil Adamczewski Doctoral Thesis, ETH Zurich
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| 2023 |
MeshDiffusion: Score-based Generative 3D Mesh Modeling
Zhen Liu, Yao Feng, Michael J. Black, Derek Nowrouzezahrai, Liam Paull, Weiyang Liu International Conference on Learning Representations (ICLR), 2023 (Notable-Top-25%)
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| 2023 |
CROCODILE - Incorporating medium-resolution spectroscopy of close-in directly imaged exoplanets into atmospheric retrievals via cross-correlation
J. Hayoz, G. Cugno, S. P. Quanz, P. Patapis, E. Alei, M. J. Bonse, F. A. Dannert, E. O. Garvin, T. D. Gebhard, B. S. Konrad and L. F. Sartori Astronomy & Astrophysics (A&A), 678 (2023) A178
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| 2023 |
Chasing rainbows and ocean glints: Inner working angle constraints for the Habitable Worlds Observatory
Sophia R Vaughan, Timothy D Gebhard, et al. Monthly Notices of the Royal Astronomical Society, Volume 524, Issue 4, October 2023, Pages 5477–5485
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| 2023 |
Comparing Apples with Apples: Robust Detection Limits for Exoplanet High-contrast Imaging in the Presence of Non-Gaussian Noise
Markus J. Bonse, Emily O. Garvin, Timothy D. Gebhard, Felix A. Dannert, Faustine Cantalloube, Gabriele Cugno, Olivier Absil, Jean Hayoz, Julien Milli, Markus Kasper, and Sascha P. Quanz The Astronomical Journal, Volume 166, Number 2
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| 2023 |
On the Curvature of the Loss Landscape
Alison Pouplin, Hrittik Roy, Sidak Pal Singh, Georgios Arvanitidis Preprint arXiv:2307.04719
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| 2023 |
Towards Guarantees for Parameter Isolation in Continual Learning
Giulia Lanzillotta, Sidak Pal Singh, Benjamin F. Grewe & Thomas Hofmann Preprint arXiv:2310.01165
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| 2023 |
Escaping Random Teacher Initialization Enhances Signal Propagation and Representation
Felix Sarnthein, Sidak Pal Singh, Antonio Orvieto, Thomas Hofmann Mathematics of Modern Machine Learning Workshop at NeurIPS 2023
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| 2023 |
Hypergraphx: a library for higher-order network analysis
Quintino Francesco Lotito, Martina Contisciani, Caterina De Bacco, Leonardo Di Gaetano, Luca Gallo, Alberto Montresor, Federico Musciotto, Nicolò Ruggeri, Federico Battiston Journal of Complex Networks, Volume 11, Issue 3, June 2023, cnad019
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| 2023 |
ARCTIC: A Dataset for Dexterous Bimanual Hand-Object Manipulation
Zicong Fan, Omid Taheri, Dimitrios Tzionas, Muhammed Kocabas, Manuel Kaufmann, Michael J. Black and Otmar Hilliges IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2023
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| 2023 |
Optimal Guarantees for Algorithmic Reproducibility and Gradient Complexity in Convex Optimization
Liang Zhang*, Junchi Yang*, Amin Karbasi, Niao He (*equal contribution) Advances in Neural Information Processing Systems (NeurIPS), 2023 (Spotlight)
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| 2023 |
3D Reconstruction for Minimally Invasive Surgery: Lidar versus Learning-based Stereo Matching
Guido Caccianiga, Julian Nubert, Marco Hutter, Katherine J. Kuchenbecker Workshop on Robot-Assisted Medical Imaging (at ICRA 2023)
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| 2023 |
Data-Efficient Online Learning of Ball Placement in Robot Table Tennis
Philip Tobuschat, Hao Ma, Dieter Büchler, Bernhard Schölkopf, Michael Muehlebach EEE/RSJ International Conference on Intelligent Robots and Systems, 2023
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| 2023 |
Reinforcement learning with model-based feedforward inputs for robotic table tennis
Hao Ma, Dieter Büchler, Bernhard Schölkopf and Michael Muehlebach Autonomous Robots, 47, 2023 (article)
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| 2023 |
A Robust Open-source Tendon-driven Robot Arm for Learning Control of Dynamic Motions
Simon Guist, Jan Schneider, Hao Ma, Vincent Berenz, Julian Martus, Felix Grüninger, Michael Muehlebach, Jonathan Fiene, Bernhard Schölkopf, Dieter Büchler RoboLetics: Workshop on Robot Learning in Athletics (at CoRL 2023)
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| 2023 |
Desiderata for Representation Learning from Identifiability, Disentanglement, and Group-Structuredness
Hamza Keurti*, Patrik Reizinger*, Bernhard Schölkopf, Wieland Brendel (*Equal contribution) 2nd Annual Topology, Algebra, and Geometry in Machine Learning (TAG) at ICML 2023
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| 2023 |
Do Personality Tests Generalize to Large Language Models?
Florian E. Dorner, Tom Sühr, Samira Samadi, Augustin Kelava (Equal contribution) Socially Responsible Language Modelling Research Workshop (at NeurIPS 2023)
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| 2023 |
Sample-efficient Model-based Reinforcement Learning
Cristina Pinneri Doctoral Thesis, ETH Zurich
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| 2023 |
Goal-conditioned Offline Planning from Curious Exploration
Marco Bagatella and Georg Martius Advances in Neural Information Processing Systems (NeurIPS), 2023
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| 2023 |
Getting the Ball Rolling: Learning a Dexterous Policy for a Biomimetic Tendon-Driven Hand with Rolling Contact Joints
Yasunori Toshimitsu, Benedek Forrai, Barnabas Gavin Cangan, Ulrich Steger, Manuel Knecht, Stefan Weirich, Robert K. Katzschmann IEEE-RAS International Conference on Humanoid Robots, 2023
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| 2023 |
An Exploration of Left-Corner Transformations
Andreas Opedal, Eleftheria Tsipidi, Tiago Pimentel, Ryan Cotterell, Tim Vieira Empirical Methods in Natural Language Processing (EMNLP), 2023
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| 2023 |
Learning Clothed 3D Human Models with Articulated Neural Implicit Representations
Xu Chen Doctoral Thesis, ETH Zurich
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| 2023 |
Advances in Algorithmic Recourse: Ensuring Causal Consistency, Fairness, & Robustness
Amir-Hossein Karimi Doctoral Thesis, ETH Zurich
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| 2023 |
Reconstructing Signing Avatars from Video Using Linguistic Priors
Maria-Paola Forte, Peter Kulits and Chun-Hao Paul Huang, Vasileios Choutas, Dimitrios Tzionas, Katherine J. Kuchenbecker and Michael J. Black IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2023
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| 2023 |
BARC: Breed-Augmented Regression Using Classification for 3D Dog Reconstruction from Images
Nadine Rueegg, Silvia Zuffi, Konrad Schindler and Michael J. Black Int J Comput Vis 131, 1964–1979
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| 2023 |
BITE: Beyond Priors for Improved Three-D Dog Pose Estimation
Nadine Rüegg, Shashank Tripathi, Konrad Schindler, Michael J. Black, and Silvia Zuffi IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2023
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| 2023 |
AG3D: Learning to Generate 3D Avatars from 2D Image Collections
Zijian Dong*, Xu Chen*, Jinlong Yang, Michael Black, Otmar Hilliges, Andreas Geiger (*equal contribution) IEEE/CVF International Conference on Computer Vision (ICCV), 2023
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| 2023 |
FLARE: Fast Learning of Animatable and Relightable Mesh Avatars
Shrisha Bharadwaj, Yufeng Zheng, Otmar Hilliges, Michael J. Black, Victoria Fernandez-Abrevaya ACM Transactions on Graphics (Proceedings of SIGGRAPH Asia), 2023
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| 2023 |
Pairwise Similarity Learning is SimPLE
Yandong Wen, Weiyang Liu, Yao Feng, Bhiksha Raj, Rita Singh, Adrian Weller, Michael J. Black and Bernhard Schölkopf IEEE/CVF International Conference on Computer Vision (ICCV), 2023
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| 2023 |
Controlling Text-to-Image Diffusion by Orthogonal Finetuning
Zeju Qiu, Weiyang Liu, Haiwen Feng, Yuxuan Xue, Yao Feng, Zhen Liu, Dan Zhang, Adrian Weller, Bernhard Schölkopf Advances in Neural Information Processing Systems (NeurIPS), 2023
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| 2023 |
SDF Studio. A Unified Framework for Surface Reconstruction
Zehao Yu, Anpei Chen, Bozidar Antic, Songyou Peng, Apratim Bhattacharyya, Michael Niemeyer, Siyu Tang, Torsten Sattler, Andreas Geiger Open Source Project, 2023
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| 2023 |
DiffDreamer: Towards Consistent Unsupervised Single-view Scene Extrapolation with Conditional Diffusion Models
Shengqu Cai, Eric Ryan Chan, Songyou Peng, Mohamad Shahbazi, Anton Obukhov, Luc Van Gool, Gordon Wetzstein IEEE/CVF International Conference on Computer Vision (ICCV), 2023 (inproceedings)
|
| 2023 |
FastHuman: Reconstructing High-Quality Clothed Human in Minutes
Lixiang Lin, Songyou Peng, Qijun Gan, Jianke Zhu International Conference on 3D Vision, 3DV 2024 (Spotlight, top 8.2%)
|
| 2023 |
Acoustic Trapping and Manipulation of Hollow Microparticles under Fluid Flow Using a Single-Lens Focused Ultrasound Transducer
Paul Wrede, Amirreza Aghakhani, Ugur Bozuyuk, Erdost Yildiz, and Metin Sitti ACS Applied Materials & Interfaces 2023 15 (45), 52224-52236
|
| 2023 |
Acoustic Streaming-Induced Multimodal Locomotion ofBubble-Based Microrobots
Nima Mahkam, Amirreza Aghakhani, Devin Sheehan, Gaurav Gardi,Robert Katzschmann, and Metin Sitti Adv. Sci. 2023, 2304233
|
| 2023 |
Community Detection in Large Hypergraphs
Nicolò Ruggeri, Martina Contisciani, Federico Battiston, and Caterina De Bacco Science Advances 9, eadg9159
|
| 2023 |
Hypergraphs with node attributes: structure and inference
Anna Badalyan, Nicolò Ruggeri and Caterina De Bacco arXiv preprint arXiv:2311.03857
|
| 2023 |
Seeing Through the Grass: Semantic Pointcloud Filter for Support Surface Learning
Anqiao Li, Chenyu Yang, Jonas Frey, Joonho Lee, Cesar Cadena and Marco Hutter IEEE Robotics and Automation Letters, vol. 8, no. 11, pp. 7687-7694
|
| 2023 |
Learning Zero-Sum Linear Quadratic Games with Improved Sample Complexity
Jiduan Wu, Anas Barakat, Ilyas Fatkhullin, Niao He arXiv preprint arXiv:2309.04272
|
| 2023 |
Object-Centric Learning for Real-World Videos by Predicting Temporal Feature Similarities
Andrii Zadaianchuk, Maximilian Seitzer and Georg Martius Advances in Neural Information Processing Systems (NeurIPS), 2023
|
| 2023 |
Learning Layer-wise Equivariances Automatically using Gradients
Tycho F.A. van der Ouderaa, Alexander Immer and Mark van der Wilk Advances in Neural Information Processing Systems (NeurIPS), 2023
|
| 2023 |
Kronecker-Factored Approximate Curvature for Modern Neural Network Architectures
Runa Eschenhagen, Alexander Immer, Richard E. Turner, Frank Schneider and Philipp Hennig Advances in Neural Information Processing Systems (NeurIPS), 2023
|
| 2023 |
Effective Bayesian Heteroscedastic Regression with Deep Neural Networks
Alexander Immer*, Emanuele Palumbo*, Alexander Marx and Julia E. Vogt (*equal contribution) Advances in Neural Information Processing Systems (NeurIPS), 2023
|
| 2023 |
MEM: Multi-Modal Elevation Mapping for Robotics and Learning
Gian Erni, Jonas Frey, Takahiro Miki, Matias Mattamala, Marco Hutter IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2023
|
| 2023 |
SMUG Planner: A Safe Multi-Goal Planner for Mobile Robots in Challenging Environments
Changan Chen, Jonas Frey, Philip Arm, Marco Hutter IEEE Robotics and Automation Letters, vol. 8, no. 11, pp. 7170-7177
|
| 2023 |
COOLer: Class-Incremental Learning for Appearance-Based Multiple Object Tracking
Zhizheng Liu, Mattia Segu, Fisher Yu DAGM German Conference on Pattern Recognition (GCPR), 2023 (Oral)
|
| 2023 |
DARTH: Holistic Test-time Adaptation for Multiple Object Tracking
Mattia Segu, Bernt Schiele, Fisher Yu IEEE/CVF International Conference on Computer Vision (ICCV), 2023 (inproceedings)
|
| 2023 |
Learning with and for discrete optimization
Max B. Paulus Doctoral Thesis, ETH Zurich
|
| 2023 |
Monocular 3D Shape and Pose Estimation for Humans and Animals
Nadine Rüegg Doctoral Thesis, ETH Zurich
|
| 2023 |
Efficient Semiring-Weighted Earley Parsing
Andreas Opedal, Ran Zmigrod, Tim Vieira, Ryan Cotterell and Jason Eisner 61st Annual Meeting of the Association for Computational Linguistics (ACL), 2023 (inproceedings)
|
| 2023 |
Stochastic Marginal Likelihood Gradients using Neural Tangent Kernels
Alexander Immer, Tycho F. A. van der Ouderaa, Mark van der Wilk, Gunnar Rätsch, Bernhard Schölkopf International Conference on Machine Learning (ICML), 2023
|
| 2023 |
An Overview of Soft Robotics
Oncay Yasa, Yasunori Toshimitsu, Mike Y. Michelis, Lewis S. Jones, Miriam Filippi, Thomas Buchner and Robert K. Katzschmann Annual Review of Control, Robotics, and Autonomous Systems 2023 6:1, 1-29 (review)
|
| 2023 |
MeshDiffusion: Score-based Generative 3D Mesh Modeling
Zhen Liu, Yao Feng, Michael J. Black, Derek Nowrouzezahrai, Liam Paull, Weiyang Liu International Conference on Learning Representations (ICLR), 2023 (inproceedings)
|
| 2023 |
The Hessian perspective into the Nature of Convolutional Neural Networks
Sidak Pal Singh, Thomas Hofmann, Bernhard Schölkopf International Conference on Machine Learning (ICML), 2023 (in proceedings)
|
| 2023 |
Designing Covalent Organic Framework-based Light-driven Microswimmers towards Intraocular Theranostic Applications
Varun Sridhar, Erdost Yildiz, Andrés Rodríguez-Camargo, Xianglong Lyu, Liang Yao, Paul Wrede, Amirreza Aghakhani, Mukrime Birgul Akolpoglu, Filip Podjaski, Bettina V. Lotsch, Metin Sitti Adv. Mater., 35: 2301126
|
| 2023 |
Hypergraphx: a library for higher-order network analysis
Quintino Francesco Lotito, Martina Contisciani, Caterina De Bacco, Leonardo Di Gaetano, Luca Gallo, Alberto Montresor, Federico Musciotto, Nicolò Ruggeri, Federico Battiston Journal of Complex Networks 11, cnad019
|
| 2023 |
ARCTIC: A Dataset for Dexterous Bimanual Hand-Object Manipulation
Zicong Fan, Omid Taheri, Dimitrios Tzionas, Muhammed Kocabas, Manuel Kaufmann, Michael J. Black, Otmar Hilliges IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2023
|
| 2023 |
Black-Box vs. Gray-Box: A Case Study on Learning Table Tennis Ball Trajectory Prediction with Spin and Impacts
Jan Achterhold, Philip Tobuschat, Hao Ma, Dieter Buechler, Michael Muehlebach, Joerg Stueckler Learning for Dynamics and Control Conference (L4DC), 2023
|
| 2023 |
World Models for Math Story Problems
Andreas Opedal, Niklas Stoehr, Abulhair Saparov and Mrinmaya Sachan 61st Annual Meeting of the Association for Computational Linguistics (ACL), 2023
|
| 2023 |
On Data Manifolds Entailed by Structural Causal Models
Ricardo Dominguez-Olmedo, Amir-Hossein Karimi, Georgios Arvanitidis, Bernhard Schölkopf International Conference on Machine Learning (ICML), 2023
|
| 2023 |
Fast Traversability Estimation for Wild Visual Navigation
Jonas Frey, Matias Mattamala, Nived Chebrolu, Cesar Cadena, Maurice Fallon, Marco Hutter Robotics: Science and Systems Conference (RSS), 2023
|
| 2023 |
Efficient Learning of High Level Plans from Play
Núria Armengol Urpí, Marco Bagatella, Otmar Hilliges, Georg Martius, Stelian Coros IEEE International Conference on Robotics and Automation (ICRA) 2023 (inproceedings)
|
| 2023 |
On the Identifiability and Estimation of Causal Location-Scale Noise Models
Alexander Immer, Christoph Schultheiss, Julia E. Vogt, Bernhard Schölkopf, Peter Bühlmann, Alexander Marx International Conference on Machine Learning (ICML), 2023
|
| 2023 |
On the Relationship Between Explanation and Prediction: A Causal View
Amir-Hossein Karimi, Krikamol Muandet, Simon Kornblith, Bernhard Schölkopf, Been Kim International Conference on Machine Learning (ICML), 2023
|
| 2023 |
Robustness Implies Fairness in Causal Algorithmic Recourse
Ahmad-Reza Ehyaei, Amir-Hossein Karimi, Bernhard Schölkopf, Setareh Maghsudi Proceedings of the 2023 ACM Conference on Fairness, Accountability, and Transparency (FAccT)
|
| 2023 |
InstantAvatar: Learning Avatars from Monocular Video in 60 Seconds
Tianjian Jiang*, Xu Chen*, Jie Song, Otmar Hilliges (*authors contributed equally) IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2023
|
| 2023 |
Vid2Avatar: 3D Avatar Reconstruction from Videos in the Wild via Self-supervised Scene Decomposition
Chen Guo, Tianjian Jiang, Xu Chen, Jie Song, Otmar Hilliges IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2023
|
| 2023 |
Fast-SNARF: A Fast Deformer for Articulated Neural Fields
Xu Chen*, Tianjian Jiang*, Jie Song, Max Rietmann, Andreas Geiger, Michael J. Black and Otmar Hilliges (*authors contributed equally) IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023
|
| 2023 |
MRI-powered Magnetic Miniature Capsule Robot with HIFU-controlled On-demand Drug Delivery
Mehmet Efe Tiryaki, Fatih Dogangun, Cem Balda Dayan, Paul Wrede, Metin Sitti IEEE International Conference on Robotics and Automation (ICRA) 2023 (inproceedings)
|
| 2023 |
Pink Noise Is All You Need: Colored Noise Exploration in Deep Reinforcement Learning
Onno Eberhard, Jakob Hollenstein, Cristina Pinneri, Georg Martius International Conference on Learning Representations (ICLR), 2023
|
| 2023 |
Learning-based Relational Object Matching Across Views
Cathrin Elich, Iro Armeni, Martin R Oswald, Marc Pollefeys and Joerg Stueckler IEEE International Conference on Robotics and Automation (ICRA) 2023
|
| 2023 |
HOOD: Hierarchical Graphs for Generalized Modelling of Clothing Dynamics
Artur Grigorev, Bernhard Thomaszewski, Michael J. Black, Otmar Hilliges IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2023
|
| 2023 |
Bridging the Gap to Real-World Object-Centric Learning
Maximilian Seitzer, Max Horn, Andrii Zadaianchuk, Dominik Zietlow, Tianjun Xiao, Carl-Johann Simon-Gabriel, Tong He, Zheng Zhang, Bernhard Schölkopf, Thomas Brox, Francesco Locatello International Conference on Learning Representations (ICLR), 2023 (inproceedings)
|
| 2023 |
Versatile Skill Control via Self-supervised Adversarial Imitation of Unlabeled Mixed Motions
Chenhao Li, Sebastian Blaes, Pavel Kolev, Marin Vlastelica, Jonas Frey, Georg Martius IEEE International Conference on Robotics and Automation (ICRA) 2023 (accepted)
|
| 2023 |
Unsupervised Continual Semantic Adaptation through Neural Rendering
Zhizheng Liu, Francesco Milano, Jonas Frey, Marco Hutter, Roland Siegwart, Hermann Blum, Cesar Cadena IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2023 (accepted)
|
| 2023 |
OpenScene: 3D Scene Understanding with Open Vocabularies
Songyou Peng, Kyle Genova, Chiyu "Max" Jiang, Andrea Tagliasacchi, Marc Pollefeys, Thomas Funkhouser IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2023
|
| 2023 |
PointAvatar: Deformable Point-based Head Avatars from Videos
Yufeng Zheng, Wang Yifan, Gordon Wetzstein, Michael J. Black, Otmar Hilliges IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2023
|
| 2023 |
Towards Robust Object Detection Invariant to Real-World Domain Shifts
Qi Fan, Mattia Segu, Yu-Wing Tai, Fisher Yu, Chi-Keung Tang, Bernt Schiele, Dengxin Dai International Conference on Learning Representations (ICLR), 2023 (accepted)
|
| 2023 |
DINER: Depth-aware Image-based Neural Radiance Fields
Malte Prinzler, Otmar Hilliges and Justus Thies IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2023 (accepted)
|
| 2023 |
Generalized Inference of Mesoscale Structures in Higher-order Networks
Nicolò Ruggeri, Martina Contisciani, Federico Battiston, Caterina De Bacco Preprint arXiv:2301.11226
|
| 2023 |
Learning Arm-Assisted Fall Damage Reduction and Recovery for Legged Mobile Manipulators
Yuntao Ma, Farbod Farshidian, Marco Hutter IEEE International Conference on Robotics and Automation (ICRA) 2023 (inproceedings)
|
| 2023 |
A Soft, Fast and Versatile Electrohydraulic Gripper with Capacitive Object Size Detection
Zachary Yoder, Daniela Macari, Gavriel Kleinwaks, Ingemar Schmidt, Eric Acome, Christoph Keplinger Advanced Functional Materials, 23(3):2209080, 2023 (article)
|
| 2023 |
X-ICP: Localizability-Aware LiDAR Registration for Robust Localization in Extreme Environments
Turcan Tuna, Julian Nubert, Yoshua Nava, Shehryar Khattak, Marco Hutter IEEE Transactions on Robotics, vol. 40, pp. 452-471, IEEE, 2023
|
| 2023 |
Homomorphism Autoencoder — Learning Group Structured Representations from Interactions
Hamza Keurti, Hsiao-Ru Pan, Michel Besserve, Benjamin F Grewe, Bernhard Schölkopf International Conference on Machine Learning (ICML) 2023
|
| 2022 |
Original or Translated? A Causal Analysis of the Impact of Translationese on Machine Translation Performance
Jingwei Ni*, Zhijing Jin*, Markus Freitag, Mrinmaya Sachan, Bernhard Schölkopf (*Equal contribution) NAACL 2022 (Oral)
|
| 2022 |
Logical Fallacy Detection
Zhijing Jin*, Abhinav Lalwani*, Tejas Vaidhya, Xiaoyu Shen, Yiwen Ding, Zhiheng Lyu, Mrinmaya Sachan, Rada Mihalcea, Bernhard Schölkopf (*Equal contributions) EMNLP 2022 Findings
|
| 2022 |
When to Make Exceptions: Exploring Language Models as Accounts of Human Moral Judgment
Zhijing Jin*, Sydney Levine*, Fernando Gonzalez*, Ojasv Kamal, Maarten Sap, Mrinmaya Sachan, Rada Mihalcea, Josh Tenenbaum, Bernhard Schölkopf (*Equal contribution) Advances in Neural Information Processing Systems (NeurIPS), 2022 (Oral)
|
| 2022 |
Adaptive Dynamic Sliding Mode Control of Soft Continuum Manipulators
Amirhossein Kazemipour, Oliver Fischer, Yasunori Toshimitsu, Ki Wan Wong, Robert K. Katzschmann IEEE International Conference on Robotics and Automation (ICRA), 2022
|
| 2022 |
Real Robot Challenge 2022: Learning Dexterous Manipulation from Offline Data in the Real World
Nico Gürtler, Felix Widmaier, Cansu Sancaktar, Sebastian Blaes, Pavel Kolev, Stefan Bauer, Manuel Wüthrich, Markus Wulfmeier, Martin Riedmiller, Arthur Allshire, Qiang Wang, Robert McCarthy, Hangyeol Kim, Jongchan Baek, Wookyong Kwon, Shanliang Qian, Yasunori Toshimitsu, Mike Yan Michelis, Amirhossein Kazemipour, Arman Raayatsanati, Hehui Zheng, Barnabas Gavin Cangan, Bernhard Schölkopf, Georg Martius Proceedings of the NeurIPS 2022 Competitions Track, PMLR 220:133-150, 2022
|
| 2022 |
A Review of the Gumbel-max Trick and its Extensions for Discrete Stochasticity in Machine Learning
Iris A. M. Huijben, Wouter Kool, Max B. Paulus, Ruud J. G. van Sloun IEEE Transactions on Pattern Analysis and Machine Intelligence, 2022
|
| 2022 |
Adaptive Gaussian Process Change Point Detection
Edoardo Caldarelli, Philippe Wenk, Stefan Bauer, Andreas Krause International Conference of Machine Learning (ICML), 2022
|
| 2022 |
Normalization Perturbation: A Simple Domain Generalization Method for Real-World Domain Shifts
Q. Fan, M. Segu, Y.-W. Tai, F. Yu, C.-K. Tang, B. Schiele and D. Dai Technical Report, 2022
|
| 2022 |
Learning time-continuous dynamics models with Gaussian-process-based gradient matching
Philippe Wenk Doctoral Thesis, ETH Zurich
|
| 2022 |
Reconstructing Expressive 3D Humans from RGB Images
Vasileios Choutas Doctoral Thesis, ETH Zurich
|
| 2022 |
SCARF: Capturing and Animation of Body and Clothing from Monocular Video
Yao Feng, Jinlong Yang, Marc Pollefeys, Michael J. Black and Timo Bolkart SA '22: SIGGRAPH Asia 2022 Conference Papers
|
| 2022 |
Black-Box Machine Learning Algorithms for Scientific Tasks With Complex Prior Knowledge
Gideon Dresdner Doctoral Thesis, ETH Zurich
|
| 2022 |
Efficient Machine Learning for Ecosystem Monitoring with Earth Observation and Terrestrial Images
Andrés C. Rodriguez Escallon Doctoral Thesis, ETH Zurich
|
| 2022 |
Potential and limitations of tensor methods for learning on visual data
Mikhail Usvyatsov Doctoral Thesis, ETH Zurich
|
| 2022 |
Atmospheric retrievals of exoplanets using learned parameterizations of pressure-temperature profiles
Timothy D. Gebhard, Daniel Angerhausen, Björn Konrad, Eleonora Alei, Sascha P. Quanz, Bernhard Schölkopf Machine Learning and the Physical Sciences workshop, NeurIPS 2022
|
| 2022 |
Inferring molecular complexity from mass spectrometry data using machine learning
Timothy D. Gebhard*, Aaron C. Bell*, Jian Gong*, Jaden J. A. Hastings*, G. Matthew Fricke, Nathalie Cabrol, Scott Sandford, Michael Phillips, Kimberley Warren-Rhodes, Atılım Güneş Baydin (*contributed equally) Machine Learning and the Physical Sciences workshop, NeurIPS 2022
|
| 2022 |
EgoBody: Human Body Shape and Motion of Interacting People from Head-Mounted Devices
Siwei Zhang, Qianli Ma, Yan Zhang, Zhiyin Qian, Taein Kwon, Marc Pollefeys, Federica Bogo and Siyu Tang European Conference on Computer Vision (ECCV 2022)
|
| 2022 |
Neural Point-based Shape Modeling of Humans in Challenging Clothing
Qianli Ma, Jinlong Yang, Michael J. Black and Siyu Tang International Conference on 3D Vision (3DV 2022)
|
| 2022 |
Semi-automatic 3D Object Keypoint Annotation and Detection for the Masses
Kenneth Blomqvist, Jen Jen Chung, Lionel Ott, Roland Siegwart 26th International Conference on Pattern Recognition (ICPR), 2022
|
| 2022 |
Learning Agile Skills via Adversarial Imitation of Rough Partial Demonstrations
Chenhao Li, Marin Vlastelica, Sebastian Blaes, Jonas Frey, Felix Grimminger, Georg Martius Proceedings of the 6th Conference on Robot Learning (CoRL) 2022
|
| 2022 |
Dynamic Task Space Control Enables Soft Manipulators to Perform Real-World Tasks
Oliver Fischer, Yasunori Toshimitsu, Amirhossein Kazemipour, Robert K. Katzschmann Adv. Intell. Syst. 2200024
|
| 2022 |
Learning to Fit Morphable Models
Vasileios Choutas, Federica Bogo, Jingjing Shen, Julien Valentin European Conference on Computer Vision (ECCV) 2022
|
| 2022 |
GOAL: Generating 4D Whole-Body Motion for Hand-Object Grasping
Omid Taheri, Vasileios Choutas, Michael J. Black, and Dimitrios Tzionas IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2022
|
| 2022 |
Phenomenology of Double Descent in Finite-Width Neural Networks
Sidak Pal Singh, Aurelien Lucchi, Thomas Hofmann, Bernhard Schölkopf International Conference on Learning Representations (ICLR) 2022
|
| 2022 |
Optoacoustic Tracking and Magnetic Manipulation of Cell-Sized Microrobots in Mice
Paul Wrede, Oleksiy Degtyaruk, Sandeep Kumar Kalva, Xosé Luis Deán-Ben, Ugur Bozuyuk, Amirreza Aghakhani, Birgul Akolpoglu, Metin Sitti, and Daniel Razansky Biophotonics Congress: Biomedical Optics 2022, paper TTu4B.6.
|
| 2022 |
Reduced rotational flows enable the translation of surface-rolling microrobots in confined spaces
Ugur Bozuyuk, Amirreza Aghakhani, Yunus Alapan, Muhammad Yunusa, Paul Wrede & Metin Sitti Nature Communications 13, 6289 (2022)
|
| 2022 |
ResMiCo: increasing the quality of metagenome-assembled genomes with deep learning
Olga Mineeva, Daniel Danciu, Bernhard Schölkopf, Ruth E. Ley, Gunnar Rätsch, Nicholas D. Youngblut Preprint biorxiv.org/10.1101/2022.06.23.497335
|
| 2022 |
Don’t Throw it Away! The Utility of Unlabeled Data in Fair Decision Making
Miriam Rateike, Ayan Majumdar, Olga Mineeva, Krishna P. Gummadi, Isabel Valera ACM Conference on Fairness, Accountability, and Transparency (FAccT) 2022
|
| 2022 |
D-Grasp: Physically Plausible Dynamic Grasp Synthesis for Hand-Object Interactions
Sammy Christen, Muhammed Kocabas, Emre Aksan, Jemin Hwangbo, Jie Song and Otmar Hilliges IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2022
|
| 2022 |
TempCLR: Reconstructing Hands via Time-Coherent Contrastive Learning
Andrea Ziani, Zicong Fan, Muhammed Kocabas, Sammy Christen, Otmar Hilliges Proceedings of the International Conference on 3D Vision (3DV), 2022 (in proceedings)
|
| 2022 |
Reconstructing Action-Conditioned Human-Object Interactions Using Commonsense Knowledge Priors
Xi Wang, Gen Li, Yen-Ling Kuo, Muhammed Kocabas, Emre Aksan, Otmar Hilliges Proceedings of the International Conference on 3D Vision (3DV), 2022 (in proceedings)
|
| 2022 |
Uniform Convergence and Generalization for Nonconvex Stochastic Minimax Problems
Siqi Zhang, Yifan Hu, Liang Zhang, Niao He Preprint arXiv:2205.14278
|
| 2022 |
Open3D SLAM: Point Cloud Based Mapping and Localization for Education
Edo Jelavic, Julian Nubert and Marco Hutter Robotic Perception and Mapping: Emerging Techniques Workshop, ICRA 2022
|
| 2022 |
Locomotion Policy Guided Traversability Learning using Volumetric Representations of Complex Environments
Jonas Frey, David Hoeller, Shehryar Masaud Khan Khattak and Marco Hutter 35th IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2022)
|
| 2022 |
Learning to Cut by Looking Ahead: Cutting Plane Selection via Imitation Learning
Max B. Paulus, Giulia Zarpellon, Andreas Krause, Laurent Charlin and Chris J. Maddison International Conference of Machine Learning (ICML), 2022
|
| 2022 |
Slangvolution: A Causal Analysis of Semantic Change and Frequency Dynamics in Slang
Daphna Keidar*, Andreas Opedal*, Zhijing Jin, Mrinmaya Sachan (*equal contribution) 60th Annual Meeting of the Association for Computational Linguistics (ACL), 2022
|
| 2022 |
On the Adversarial Robustness of Causal Algorithmic Recourse
Ricardo Dominguez-Olmedo, Amir H Karimi, Bernhard Schölkopf Proceedings of the 39th International Conference on Machine Learning (ICML), 2022
|
| 2022 |
Fast rates for noisy interpolation require rethinking the effects of inductive bias
Konstantin Donhauser, Nicolo Ruggeri, Stefan Stojanovic, and Fanny Yang International Conference on Machine Learning (ICML), 2022
|
| 2022 |
Provable concept learning for interpretable predictions using variational inference
Armeen Taeb, Nicolo Ruggeri, Carina Schnuck, Fanny Yang arXiv preprint arXiv.2204.00492
|
| 2022 |
Mapping Vegetation Height — Probabilistic Deep Learning for Global Remote Sensing
Nico Lang Doctoral Thesis, ETH Zurich
|
| 2022 |
Towards Causal Algorithmic Recourse
Amir-Hossein Karimi*, Julius von Kügelgen*, Bernhard Schölkopf, Isabel Valera Lecture Notes in Computer Science (book chapter)
|
| 2022 |
BARC: Learning to Regress 3D Dog Shape from Images by Exploiting Breed Information
Nadine Rüegg, Silvia Zuffi, Konrad Schindler and Michael J. Black IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2022
|
| 2022 |
A Learning-based Iterative Control Framework for Controlling a Robot Arm with Pneumatic Artificial Muscles
Hao Ma, Dieter Büchler, Bernhard Schölkopf, Michael Muehlebach Robotics: Science and Systems 2022 (in proceedings)
|
| 2022 |
gDNA: Towards Generative Detailed Neural Avatars
Xu Chen, Tianjian Jiang, Jie Song, Jinlong Yang, Michael J. Black, Andreas Geiger, Otmar Hilliges IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2022
|
| 2022 |
I M Avatar: Implicit Morphable Head Avatars from Videos
Yufeng Zheng, Victoria Fernández Abrevaya Marcel C. Bühler, Xu Chen, Michael J. Black and Otmar Hilliges IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2022 (oral presentation)
|
| 2022 |
PINA: Learning a Personalized Implicit Neural Avatar from a Single RGB-D Video Sequence
Zijian Dong, Chen Guo, Jie Song, Xu Chen, Andreas Geiger, Otmar Hilliges IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2022
|
| 2022 |
Accurate 3D Body Shape Regression using Metric and Semantic Attributes
V. Choutas*, L. Müller*, Chun-Hao Paul Huang, Siyu Tang, D. Tzionas and M. J. Black (*authors contributed equally) IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2022
|
| 2022 |
Half-sibling regression meets exoplanet imaging: PSF modeling and subtraction using a flexible, domain knowledge-driven, causal framework
Timothy D. Gebhard, Markus J. Bonse, Sascha P. Quanz, and Bernhard Schölkopf Astronomy & Astrophysics 666 (2022) A9
|
| 2022 |
MonoSDF: Exploring Monocular Geometric Cues for Neural Implicit Surface Reconstruction
Zehao Yu, Songyou Peng, Michael Niemeyer, Torsten Sattler, Andreas Geiger Advances in Neural Information Processing Systems (NeurIPS), 2022
|
| 2022 |
Signal Propagation in Transformers: Theoretical Perspectives and the Role of Rank Collapse
Lorenzo Noci, Sotiris Anagnostidis, Luca Biggio, Antonio Orvieto, Sidak Pal Singh, Aurelien Lucchi Advances in Neural Information Processing Systems (NeurIPS), 2022
|
| 2022 |
High shear rate propulsion of acoustic microrobots in complex biological fluids
Amirreza Aghakhani, Abdon Pena-Francesch, Ugur Bozuyuk, Hakan Cetin1, Paul Wrede, Metin Sitti Science Advances 8 (10), eabm5126 (2022)
|
| 2022 |
Real-time 3D optoacoustic tracking of cell-sized magnetic microrobots circulating in the mouse brain vasculature
Paul Wrede, Oleksiy Degtyaruk, Sandeep Kumar Kalva, Xosé Luis Deán-Ben, Ugur Bozuyuk, Amirreza Aghakhani, Birgul Akolpoglu, Metin Sitti, Daniel Razansky Science Advances, 8 (19), eabm9132
|
| 2022 |
Human-Aware Object Placement for Visual Environment Reconstruction
Hongwei Yi, Chun-Hao P. Huang, Dimitrios Tzionas, Muhammed Kocabas, Mohamed Hassan, Siyu Tang, Justus Thies, Michael J. Black IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2022
|
| 2022 |
Generative Cooperative Learning for Unsupervised Video Anomaly Detection
Muhammad Zaigham Zaheer, Arif Mahmood, Muhammad Haris Khan, Mattia Segu, Fisher Yu, Seung-Ik Lee IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2022
|
| 2022 |
SHIFT: A Synthetic Driving Dataset for Continuous Multi-Task Domain Adaptation
Tao Sun*, Mattia Segu*, Janis Postels, Yuxuan Wang, Luc Van Gool, Bernt Schiele, Federico Tombari, Fisher Yu (*equal contribution) IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2022
|
| 2022 |
Bring Your Own Algorithm for Optimal Differentially Private Stochastic Minimax Optimization
Liang Zhang, Kiran Koshy Thekumparampil, Sewoong Oh, Niao He Advances in Neural Information Processing Systems (NeurIPS), 2022
|
| 2022 |
Hermite Polynomial Features for Private Data Generation
Margarita Vinaroz, Mohammad-Amin Charusaie, Frederik Harder, Kamil Adamczewski, Mijung Park International Conference of Machine Learning (ICML), 2022
|
| 2022 |
Revisiting Random Channel Pruning for Neural Network Compression
Yawei Li, Kamil Adamczewski, Wen Li, Shuhang Gu, Radu Timofte, Luc Van Gool IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2022
|
| 2022 |
Weakly Supervised Learning of Multi-Object 3D Scene Decompositions Using Deep Shape Priors
Cathrin Elich, Martin R. Oswald, Marc Pollefeys, Joerg Stueckler Computer Vision and Image Understanding 220 (2022) 103440
|
| 2022 |
Invariance Learning in Deep Neural Networks with Differentiable Laplace Approximations
A Immer*, T v.d. Ouderaa*, G Rätsch, V Fortuin, M v.d. Wilk (*equal contribution) Advances in Neural Information Processing Systems (NeurIPS), 2022
|
| 2022 |
Learning-based Localizability Estimation for Robust LiDAR Localization
Julian Nubert, Etienne Walther, Shehryar Khattak, Marco Hutter IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2022
|
| 2022 |
On the Adversarial Robustness of Causal Algorithmic Recourse
Ricardo Dominguez-Olmedo, Amir-Hossein Karimi, Bernhard Schölkopf International Conference of Machine Learning (ICML), 2022 (accepted as Spotlight)
|
| 2022 |
Combining Learning-Based Locomotion Policy With Model-Based Manipulation for Legged Mobile Manipulators
Yuntao Ma; Farbod Farshidian; Takahiro Miki; Joonho Lee; Marco Hutter IEEE Robotics and Automation Letters 7, 2377-2384. 2022
|
| 2022 |
Graph-based Multi-Sensor Fusion for Consistent Localization of Autonomous Construction Robots
Julian Nubert, Shehryar Khattak and Marco Hutter IEEE International Conference on Robotics and Automation (ICRA) 2022
|
| 2022 |
Self-supervised Reinforcement Learning with Independently Controllable Subgoals
Zadaianchuk, A., Martius, G., Yang, F. Proceedings of the 5th Conference on Robot Learning, 164, pages: 384-394, PMLR, 2022 (inproceedings)
|
| 2022 |
On the Fairness of Causal Algorithmic Recourse
von Kügelgen, J., Karimi, A., Bhatt, U., Valera, I., Weller, A., Schölkopf, B. Proceedings of the 36th AAAI Conference on Artificial Intelligence (AAAI)
|
| 2022 |
Probing as Quantifying the Inductive Bias
A Immer*, LT Hennigen*, V Fortuin, R Cotterell (*equal contribution) 60th Annual Meeting of the Association for Computational Linguistics (ACL), 2022 (inproceedings)
|
| 2022 |
Pathologies in priors and inference for Bayesian transformers
Tristan Cinquin, Alexander Immer, Max Horn, Vincent Fortuin AABI 2022 (accepted)
|
| 2022 |
NICE-SLAM: Neural Implicit Scalable Encoding for SLAM
Zihan Zhu*, Songyou Peng*, Viktor Larsson, Weiwei Xu, Hujun Bao, Zhaopeng Cui, Martin R. Oswald, Marc Pollefeys (* equal contribution) IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2022
|
| 2022 |
On the Practicality of Deterministic Epistemic Uncertainty
Janis Postels, Mattia Segu, Tao Sun, Luca Daniel Sieber, Luc Van Gool, Fisher Yu and Federico Tombari International Conference of Machine Learning (ICML), 2022
|
| 2022 |
A survey of algorithmic recourse: definitions, formulations, solutions, and prospects
Amir-Hossein Karimi, Gilles Barthe, Bernhard Schölkopf, Isabel Valera ACM Computing Surveys 2022
|
| 2021 |
Finding Stable Matchings in PhD Markets with Consistent Preferences and Cooperative Partners
Maximilian Mordig, Riccardo Della Vecchia, Nicolò Cesa-Bianchi, Bernhard Schölkopf Preprint arXiv:2102.11834
|
| 2021 |
Causal Direction of Data Collection Matters: Implications of Causal and Anticausal Learning for NLP
Zhijing Jin*, Julius von Kügelgen*, Jingwei Ni, Tejas Vaidhya, Ayush Kaushal, Mrinmaya Sachan, Bernhard Schölkopf (*Equal contribution) https://arxiv.org/abs/2110.03618
|
| 2021 |
Shape As Points: A Differentiable Poisson Solver
Songyou Peng, Chiyu "Max" Jiang, Yiyi Liao, Michael Niemeyer, Marc Pollefeys, Andreas Geiger Advances in Neural Information Processing Systems (NeurIPS), 2021 (Oral, top 0.6%)
|
| 2021 |
Safety and Robustness in Reinforcement Learning
Matteo Turchetta Doctoral Thesis, ETH Zurich
|
| 2021 |
Dynamics of Learning and Learning of Dynamics
Arash Mehrjou Doctoral Thesis, ETH Zurich
|
| 2021 |
Finding Stable Matchings in PhD Markets with Consistent Preferences and Cooperative Partners
Maximilian Mordig, Riccardo Della Vecchia, Nicolò Cesa-Bianchi, Bernhard Schölkopf arXiv preprint arXiv:2102.11834
|
| 2021 |
Two-Sided Matching Markets in the ELLIS 2020 PhD Program
Maximilian Mordig, Riccardo Della Vecchia, Nicolò Cesa-Bianchi, Bernhard Schölkopf arXiv preprint arXiv:2101.12080
|
| 2021 |
Laplace Redux – Effortless Bayesian Deep Learning
E Daxberger*, A Kristiadi*, A Immer*, R Eschenhagen*, M Bauer, P Hennig (*Equal contributors) NeurIPS, 2021
|
| 2021 |
Computationally Tractable Riemannian Manifolds for Graph Embeddings
Cruceru, C., Becigneul, G., & Ganea, O.-E. Proceedings of the 35th AAAI Conference on Artificial Intelligence
|
| 2021 |
Momentum Improves Optimization on Riemannian Manifolds
Foivos Alimisis, Antonio Orvieto, Gary Becigneul, Aurelien Lucchi Proceedings of the 24th International Conference on Artificial Intelligence and Statistics (AISTATS 2021)
|
| 2021 |
Learning Deep Models with Primitive-Based Representations
Despoina Paschalidou Doctoral Thesis, ETH Zurich
|
| 2021 |
Deep Learning Beyond the Training Distribution
Giambattista Parascandolo Doctoral Thesis, ETH Zurich
|
| 2021 |
HuggieBot: An Interactive Hugging Robot With Visual and Haptic Perception
Alexis E. Block Doctoral Thesis, ETH Zurich
|
| 2021 |
On Training Deep Generative Models with Latent Variables
Djordje Miladinovic Doctoral Thesis, ETH Zurich
|
| 2021 |
Navigating the Latent Spaces of Deep Neural Networks using Adversarial Techniques
Yannic Kilcher Doctoral Thesis, ETH Zurich
|
| 2021 |
The Power of Points for Modeling Humans in Clothing
Ma, Q., Yang, J., Tang, S., Black, M. J. International Conference on Computer Vision 2021, October 2021 (inproceedings)
|
| 2021 |
MetaAvatar: Learning Animatable Clothed Human Models from Few Depth Images
Wang, S., Mihajlovic, M., Ma, Q., Geiger, A., Tang, S. Advances in Neural Information Processing Systems (NeurIPS), 2021 (inproceedings)
|
| 2021 |
Learning to Disambiguate Strongly Interacting Hands via Probabilistic Per-pixel Part Segmentation
Fan, Z., Spurr, A., Kocabas, M., Tang, S., Black, M. J., Hilliges, O. International Conference on 3D Vision (3DV), December 2021 (conference)
|
| 2021 |
PARE: Part Attention Regressor for 3D Human Body Estimation
Kocabas, M., Huang, C. P., Hilliges, O., Black, M. J. International Conference on Computer Vision 2021, October 2021 (inproceedings)
|
| 2021 |
Learning To Regress Bodies From Images Using Differentiable Semantic Rendering
Dwivedi, S. K., Athanasiou, N., Kocabas, M., Black, M. J. International Conference on Computer Vision 2021, October 2021 (inproceedings)
|
| 2021 |
SPEC: Seeing People in the Wild with an Estimated Camera
Kocabas, M., Huang, C. P., Tesch, J., Müller, L., Hilliges, O., Black, M. J. International Conference on Computer Vision 2021, October 2021 (inproceedings)
|
| 2021 |
Risk-Averse Zero-Order Trajectory Optimization
Vlastelica*, M., Blaes*, S., Pinneri, C., Martius, G. (*Equal Contribution) Conference on Robot Learning, 2021 (inproceedings)
|
| 2021 |
Collaborative Regression of Expressive Bodies using Moderation
Feng, Y., Choutas, V., Bolkart, T., Tzionas, D., Black, M. International Conference on 3D Vision (3DV)
|
| 2021 |
ATISS: Autoregressive Transformers for Indoor Scene Synthesis
Paschalidou, D., Kar, A., Shugrina, M., Kreis, K., Geiger, A., Fidler, S. Advances in Neural Information Processing Systems (NeurIPS), 2021 (inproceedings)
|
| 2021 |
Human Performance Capture from Monocular Video in the Wild
C. Guo, X. Chen, J. Song, O. Hilliges In Proceedings International Conference on 3D Vision (3DV), 2021
|
| 2021 |
Analytic Insights into Structure and Rank of Neural Network Hessian Maps
Sidak Pal Singh, Gregor Bachmann, Thomas Hofmann Neural Information Processing Systems 34 (NeurIPS 2021)
|
| 2021 |
Uncertainty estimation under model misspecification in neural network regression
Maria R. Cervera, Rafael Dätwyler, Francesco D'Angelo, Hamza Keurti, Benjamin F. Grewe, Christian Henning "Your Model Is Wrong: Robustness and Misspecification in Probabilistic Modeling" Workshop, NeurIPS, 2021
|
| 2021 |
Shape-aware Multi-Person Pose Estimation from Multi-view Images
Z. Dong, J. Song, X. Chen, C. Guo, O. Hilliges In Proceedings International Conference on Computer Vision (ICCV)
|
| 2021 |
Learning Stable Deep Dynamics Models for Partially Observed or Delayed Dynamical Systems
A. Schlaginhaufen, P. Wenk, A. Krause, F. Dörfler In Proc. Neural Information Processing Systems (NeurIPS), 2021
|
| 2021 |
Distributional Gradient Matching for Learning Uncertain Neural Dynamics Models
L. Treven, P. Wenk, F. Dörfler, A. Krause In Proc. Neural Information Processing Systems (NeurIPS), 2021
|
| 2021 |
Locomotion of Spiders - What Robotics can Learn from Spiders and vice versa
Chantal Göttler Doctoral Thesis, ETH Zurich
|
| 2021 |
Neighborhood Contrastive Learning Applied to Online Patient Monitoring
Hugo Yèche, Gideon Dresdner, Francesco Locatello, Matthias Hüser, Gunnar Rätsch Submitted ICML 2021
|
| 2021 |
GoSafe: Globally Optimal Safe Robot Learning
Dominik Baumann, Alonso Marco, Matteo Turchetta, and Sebastian Trimpe In Proc. International Conference on Robotics and Automation (ICRA), 2021
|
| 2021 |
SCANimate: Weakly Supervised Learning of Skinned Clothed Avatar Networks
Shunsuke Saito, Jinlong Yang, Qianli Ma, Michael J. Black Proceedings IEEE/CVF Conf. on Computer Vision and Pattern Recognition (CVPR), 2021
|
| 2021 |
SCALE: Modeling Clothed Humans with a Surface Codec of Articulated Local Elements
Qianli Ma, Shunsuke Saito, Jinlong Yang, Siyu Tang, Michael J. Black Proceedings IEEE/CVF Conf. on Computer Vision and Pattern Recognition (CVPR), 2021
|
| 2021 |
SNARF: Differentiable Forward Skinning for Animating Non-Rigid Neural Implicit Shapes
Xu Chen, Yufeng Zheng, Michael J. Black, Otmar Hilliges, Andreas Geiger International Conference on Computer Vision (ICCV), 2021
|
| 2021 |
Shape As Points: A Differentiable Poisson Solver
Songyou Peng, Chiyu "Max" Jiang, Yiyi Liao, Michael Niemeyer, Marc Pollefeys, Andreas Geiger NeurIPS, 2021 (Oral, top 0.6%)
|
| 2021 |
KiloNeRF: Speeding up Neural Radiance Fields with Thousands of Tiny MLPs
Christian Reiser, Songyou Peng, Yiyi Liao, Andreas Geiger International Conference on Computer Vision (ICCV), 2021
|
| 2021 |
Scaling Guarantees for Nearest Counterfactual Explanations
Kiarash Mohammadi, Amir-Hossein Karimi, Gilles Barthe, Isabel Valera Fourth AAAI/ACM Conference on AI, Ethics, and Society (AIES) pages: 177-187
|
| 2021 |
Learning an Animatable Detailed 3D Face Model from In-The-Wild Images
Yao Feng*, Haiwen Feng*, Michael J. Black, and Timo Bolkart (*authors contributed equally) Proc. SIGGRAPH, 40(4):88:1-88:13, 2021
|
| 2021 |
Improving predictions of Bayesian neural networks via local linearization
A Immer, M Korzepa, M Bauer AISTATS, 2021
|
| 2021 |
Scalable Marginal Likelihood Estimation for Model Selection in Deep Learning
A Immer, M Bauer, V Fortuin, G Rätsch, ME Khan ICML 2021
|
| 2021 |
Fluid mechanics and rheology of the jumping spider body fluid
Chantal Göttler, Guillermo Amador, Thomas van de Kamp, Marcus Zuber, Lisa Böhler, Roland Siegwart and Metin Sitti Soft Matter, 2021,17, 5532-5539
|
| 2021 |
From Point Clouds to High-Fidelity Models - Advanced Methods for Image-Based 3D Reconstruction
Audrey Richard Doctoral Thesis, ETH Zurich
|
| 2021 |
Neural Symbolic Regression that Scales
Biggio*, L., Bendinelli*, T., Neitz, A., Lucchi, A., Parascandolo, G. (*equal contribution) Proceedings of the 38th International Conference on Machine Learning (ICML)
|
| 2021 |
On the Geometry of Data Representations
Gary Bécigneul Doctoral Thesis, ETH Zurich
|
| 2021 |
Dynamic Plane Convolutional Occupancy Networks
Stefan Lionar*, Daniil Emtsev*, Dusan Svilarkovic*, Songyou Peng (*equal contribution) Winter Conference on Applications of Computer Vision (WACV), 2021
|
| 2021 |
UNISURF: Unifying Neural Implicit Surfaces and Radiance Fields for Multi-View Reconstruction
Michael Oechsle, Songyou Peng, Andreas Geiger International Conference on Computer Vision (ICCV), 2021
|
| 2021 |
Rao-Blackwellizing the Straight-Through Gumbel-Softmax Gradient Estimator
M. B. Paulus, C. J. Maddison, A. Krause International Conference on Learning Representations, 2021 Oral presentation
|
| 2021 |
Safe and Efficient Model-free Adaptive Control via Bayesian Optimization
C. König, M. Turchetta, J. Lygeros, A. Rupenyan, A. Krause 2021 IEEE International Conference on Robotics and Automation (ICRA)
|
| 2021 |
Information Directed Reward Learning for Reinforcement Learning
David Lindner, Matteo Turchetta, Sebastian Tschiatschek, Kamil Ciosek, Andreas Krause 35th Conference on Neural Information Processing Systems (NeurIPS 2021)
|
| 2021 |
Dirichlet pruning for neural networks
Adamczewski, K. and Park, M. Proceedings of the 24th International Conference on Artificial Intelligence and Statistics (AISTATS), 130, pages: 3637-3645
|
| 2021 |
DP-MERF: Differentially Private Mean Embeddings with Random Features for Practical Privacy-Preserving Data Generation
Harder, F. and Adamczewski, K. and Park, M. Proceedings of the 24th International Conference on Artificial Intelligence and Statistics (AISTATS), 130, pages: 1819-1827
|
| 2021 |
Learning explanations that are hard to vary
Parascandolo*, G., Neitz*, A., Orvieto, A., Gresele, L., Schölkopf, B. *equal contribution International Conference on Learning Representations (ICLR 2021)
|
| 2021 |
A teacher-student framework to distill future trajectories
Neitz*, A., Parascandolo*, G., Schölkopf, B. (*equal contribution) International Conference on Learning Representations (ICLR 2021), May 2021 (inproceedings)
|
| 2021 |
Neural Parts: Learning Expressive 3D Shape Abstractions with Invertible Neural Networks
Paschalidou, D., Katharopoulos, A., Geiger, A., Fidler, S. Conference on Computer Vision and Pattern Recognition (CVPR), 2021 (inproceedings)
|
| 2021 |
Extracting Strong Policies for Robotics Tasks from Zero-order Trajectory Optimizers
Pinneri, C., Sawant, S., Blaes, S., Martius, G. International Conference on Learning Representations, 2021 (inproceedings)
|
| 2021 |
Spider Origami: Folding Principle of Jumping Spider Leg Joints for Bioinspired Fluidic Actuators
Göttler, C., Elflein, K., Siegwart, R., Sitti, M. Advanced Science, pages: 2003890, 2021 (article)
|
| 2021 |
Self-supervised Visual Reinforcement Learning with Object-centric Representations
Andrii Zadaianchuk* and Maximilian Seitzer* and Georg Martius (*equal contribution) International Conference on Learning Representations (ICLR) 2021, Spotlight
|
| 2021 |
Algorithmic Recourse: from Counterfactual Explanations to Interventions
Karimi, A., Schölkopf, B., Valera, I. 4th Conference on Fairness, Accountability, and Transparency (FAccT 2021), pages: 353-362
|
| 2021 |
Self-supervised Learning of LiDAR Odometry for Robotic Applications
Julian Nubert, Shehryar Khattak and Marco Hutter 2021 IEEE International Conference on Robotics and Automation (ICRA)
|
| 2021 |
The Six Hug Commandments: Design and Evaluation of a Human-Sized Hugging Robot with Visual and Haptic Perception
Alexis E. Block, Sammy Christen, Roger Gassert, Otmar Hilliges, and Katherine J. Kuchenbecker ACM/IEEE International Conference on Human-Robot Interaction
|
| 2020 |
SCIM: universal single-cell matching with unpaired feature sets
Stefan G Stark, Joanna Ficek, Francesco Locatello, Ximena Bonilla, Stéphane Chevrier, Franziska Singer, Tumor Profiler Consortium, Gunnar Rätsch, Kjong-Van Lehmann Bioinformatics, Volume 36, Issue Supplement_2, December 2020, Pages i919–i927
|
| 2020 |
Enhancing gravitational-wave science with machine learning
Elena Cuoco, Jade Powell, Marco Cavaglià, Kendall Ackley, Michał Bejger, Chayan Chatterjee, Michael Coughlin, Scott Coughlin, Paul Easter, Reed Essick, Hunter Gabbard, Timothy Gebhard, Shaon Ghosh, Leïla Haegel, Alberto Iess, David Keitel, Zsuzsa Márka, Szabolcs Márka, Filip Morawski, Tri Nguyen, Rich Ormiston, Michael Pürrer, Massimiliano Razzano, Kai Staats, Gabriele Vajente and Daniel Williams Mach. Learn.: Sci. Technol. 2 011002
|
| 2020 |
Physically constrained causal noise models for high-contrast imaging of exoplanets
Gebhard, T. D., Bonse, M. J., Quanz, S. P., Schölkopf, B. Third Workshop on Machine Learning and the Physical Sciences (NeurIPS 2020)
|
| 2020 |
Learning Control Objectives from Human Interactions
Marcel Menner Doctoral Thesis, ETH Zurich
|
| 2020 |
Enforcing and Discovering Structure in Machine Learning
Francesco Locatello Doctoral Thesis, ETH Zurich
|
| 2020 |
Category Level Object Pose Estimation via Neural Analysis-by-Synthesis
X. Chen*, Z. Dong*, J. Song, A. Geiger, O. Hilliges (*equal contribution) European Conference on Computer Vision (ECCV), 2020 (in proceedings)
|
| 2020 |
Human Body Model Fitting by Learned Gradient Descent
J. Song*, X. Chen*, O. Hilliges (*equal contribution) European Conference on Computer Vision (ECCV), 2020 (in proceedings)
|
| 2020 |
Monocular Expressive Body Regression through Body-Driven Attention
Choutas V., Pavlakos G., Bolkart T., Tzionas D., Black M.J. IVedaldi A., Bischof H., Brox T., Frahm JM. (eds) Computer Vision – ECCV 2020. ECCV 2020. Lecture Notes in Computer Science, vol 12355. Springer, Cham.
|
| 2020 |
DIST: Rendering Deep Implicit Signed Distance Function with Differentiable Sphere Tracing
Shaohui Liu, Yinda Zhang, Songyou Peng, Boxin Shi, Marc Pollefeys, Zhaopeng Cui IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2020
|
| 2020 |
Convolutional Occupancy Networks
S. Peng, M. Niemeyer, L. Mescheder, M. Pollefeys and A. Geiger European Conference on Computer Vision (ECCV), 2020 (spotlight)
|
| 2020 |
Sampling on networks: estimating spectral centrality measures and their impact in evaluating other relevant network measures
Ruggeri, N., De Bacco, C. Appl Netw Sci 5, 81 (2020)
|
| 2020 |
Radial and Directional Posteriors for Bayesian Deep Learning
Oh, C., Adamczewski, K., Park, M. Proceedings of the 34th Conference on Artificial Intelligence (AAAI)
|
| 2020 |
Sample-efficient Cross-Entropy Method for Real-time Planning
Pinneri, C., Sawant, S., Blaes, S., Achterhold, J., Stueckler, J., Rolinek, M., Martius, G. Conference on Robot Learning 2020, 2020 (inproceedings)
|
| 2020 |
Semi-Supervised Learning of Multi-Object 3D Scene Representations
Elich, C., Oswald, M. R., Pollefeys, M., Stueckler, J. CoRR, abs/2010.04030, 2020 (article)
|
| 2020 |
Algorithmic recourse under imperfect causal knowledge: a probabilistic approach
Karimi*, A., von Kügelgen*, J., Schölkopf, B., Valera, I. (*equal contribution) 34th Conference on Neural Information Processing Systems (NeurIPS 2020)
|
| 2020 |
Model-Agnostic Counterfactual Explanations for Consequential Decisions
Karimi, A., Barthe, G., Balle, B., Valera, I. 23rd International Conference on Artificial Intelligence and Statistics (AISTATS)
|
| 2020 |
3D Fluid Flow Estimation from Multi-View Particle Images using Physical Priors
Katrin Lasinger Doctoral Thesis, ETH Zurich
|
| 2020 |
Abstractive Document Summarization in High and Low Resource Settings
Nikola I. Nikolov Doctoral Thesis, ETH Zurich
|
| 2020 |
Go Fetch: Mobile Manipulation in Unstructured Environments
K. Blomqvist, M. Breyer, A. Cramariuc, J. Förster, M. Grinvald, F. Tschopp, J. Chung, L. Ott, J. Nieto, R. Siegwart ICRA 2020 PAL workshop
|
| 2020 |
Gradient Estimation with Stochastic Softmax Tricks
Max B. Paulus, Dami Choi, Daniel Tarlow, Andreas Krause, Chris J. Maddison 34th Conference on Neural Information Processing Systems (NeurIPS 2020)
|
| 2020 |
A Real-Robot Dataset for Assessing Transferability of Learned Dynamics Models
Diego Agudelo-Espana, Andrii Zadaianchuk, Philippe Wenk, Aditya Garg, Joel Akpo, Felix Grimminger, Julian Viereck, Maximilien Naveau, Ludovic Righetti, Georg Martius, Andreas Krause, Bernhard Schölkopf, Stefan Bauer and Manuel Wüthrich 2020 IEEE International Conference on Robotics and Automation (ICRA), 2020, pp. 8151-8157
|
| 2020 |
A Continuous-time Perspective for Modeling Acceleration in Riemannian Optimization
Foivos Alimisis, Antonio Orvieto, Gary Bécigneul, Aurelien Lucchi Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics (AISTATS) (accepted)
|
| 2020 |
Disentangling factors of variation using few labels
Francesco Locatello, Michael Tschannen, Stefan Bauer, Gunnar Rätsch, Bernhard Schölkopf, Olivier Bachem 8th International Conference on Learning Representations (ICLR) 2020
|
| 2020 |
Learning Unsupervised Hierarchical Part Decomposition of 3D Objects from a Single RGB Image
Despoina Paschalidou, Luc van Gool and Andreas Geiger Proceedings IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2020
|
| 2020 |
Chained Representation Cycling: Learning to Estimate 3D Human Pose and Shape by Cycling Between Representations
Nadine Rueegg, Christoph Lassner, Michael J. Black and Konrad Schindler 34th AAAI Conference on Artificial Intelligence (AAAI-20)
|
| 2020 |
Mixed-curvature Variational Autoencoders
Ondrej Skopek, Octavian-Eugen Ganea and Gary Becigneul 8th International Conference on Learning Representations (ICLR) 2020
|
| 2020 |
VIBE: Video Inference for Human Body Pose and Shape Estimation
Muhammed Kocabas, Nikos Athanasiou, Michael J. Black Proceedings IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2020
|
| 2020 |
DeepMAsED: Evaluating the Quality of Metagenomic Assemblies
Olga Mineeva, Mateo Rojas-Carulla, Ruth E Ley, Bernhard Schölkopf and Nicholas D Youngblut Bioinformatics. 2020 May 1;36(10):3011-3017
|
| 2020 |
Mixed-Variable Bayesian Optimization
Erik Daxberger and Anastasia Makarova and Matteo Turchetta and Andreas Krause} Proc. International Joint Conference on Artificial Intelligence (IJCAI), 2020
|
| 2020 |
Robust Model-free Reinforcement Learning with Multi-objective Bayesian Optimization
Matteo Turchetta, Andreas Krause and Sebastian Trimpe Proc. of the International Conference on Robotics and Automation (ICRA), 2020
|
| 2020 |
ODIN: ODE-Informed Regression for Parameter and State Inference in Time-Continuous Dynamical Systems
Philippe Wenk, Gabriele Abbati, Michael A Osborne, Bernhard Schölkopf, Andreas Krause, Stefan Bauer Proceedings of the 34th AAAI Conference on Artificial Intelligence (AAAI), 2020
|
| 2020 |
SLEIPNIR: Deterministic and Provably Accurate Feature Expansion for Gaussian Process Regression with Derivatives
Emmanouil Angelis, Philippe Wenk, Bernhard Schölkopf, Stefan Bauer, Andreas Krause Preprint arXiv:2003.02658, 2020
|
| 2020 |
Optimization for Neural Networks: Quest for Theoretical Understandings
Hadi Daneshmand Doctoral Thesis, ETH Zurich
|
| 2020 |
Fusing Conventional and Robotic Rehabilitation Therapy
Fabian Just Doctoral Thesis, ETH Zurich
|
| 2020 |
Safe Reinforcement Learning via Curriculum Induction
Matteo Turchetta, Andrey Kolobo, Shital Shah, Andreas Krause and Alekh Agarwal Proc. Neural Information Processing Systems (NeurIPS), 2020, Spotlight presentation
|
| 2020 |
Stochastic Frank-Wolfe for Constrained Finite-Sum Minimization
Geoffrey Négiar, Gideon Dresdner, Alicia Tsai, Laurent El Ghaoui, Francesco Locatello, Robert M. Freund, Fabian Pedregosa Proceedings of the 37th International Conference on Machine Learning, 2020
|
| 2020 |
Weakly-Supervised Disentanglement Without Compromises
Francesco Locatello, Ben Poole, Gunnar Rätsch, Bernhard Schölkopf, Olivier Bachem, Michael Tschannen Preprint arXiv:2002.02886
|
| 2020 |
Divide-and-Conquer Monte Carlo Tree Search for Goal-Directed Planning
Giambattista Parascandolo*, Lars Buesing*, Josh Merel, Leonard Hasenclever, John Aslanides, Jessica B. Hamrick, Nicolas Heess, Alexander Neitz and Theophane Weber (*equal contribution) Preprint arXiv:2004.11410
|
| 2019 |
Sampling on Networks: Estimating Eigenvector Centrality on Incomplete Networks
Ruggeri N., De Bacco C. In: Cherifi H., Gaito S., Mendes J., Moro E., Rocha L. (eds) Complex Networks and Their Applications VIII. COMPLEX NETWORKS 2019. Studies in Computational Intelligence, vol 881. Springer, Cham
|
| 2019 |
Inflatable Haptic Sensor for the Torso of a Hugging Robot
Block, A. E., Kuchenbecker, K. J. Work-in-progress paper (2 pages) presented at the IEEE World Haptics Conference (WHC)
|
| 2019 |
AReS and MaRS Adversarial and MMD-Minimizing Regression for SDEs
Gabriele Abbati, Philippe Wenk, Michael A. Osborne, Andreas Krause, Bernhard Schölkopf and Stefan Bauer Proceedings of the 36th International Conference on Machine Learning (ICML)
|
| 2019 |
Riemannian Adaptive Optimization Methods
Gary Becigneul and Octavian-Eugen Ganea 7th International Conference on Learning Representations (ICLR)
|
| 2019 |
PointFlowNet: Learning Representations for Rigid Motion Estimation from Point Clouds
Aseem Behl, Despoina Paschalidou, Simon Donne and Andreas Geiger Proceedings IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2019
|
| 2019 |
SOM-VAE: Interpretable Discrete Representation Learning on Time Series
Vincent Fortuin, Matthias Hüser, Francesco Locatello, Heiko Strathmann, Gunnar Rätsch 7th International Conference on Learning Representations (ICLR)
|
| 2019 |
Challenging Common Assumptions in the Unsupervised Learning of Disentangled Representations
Francesco Locatello, Stefan Bauer, Mario Lucic, Gunnar Rätsch, Sylvain Gelly, Bernhard Schölkopf, Olivier Bachem Proceedings of the 36th International Conference on Machine Learning (ICML)
|
| 2019 |
The incomplete rosetta stone problem: Identifiability results for multi-view nonlinear ica
Luigi Gresele, Paul K Rubenstein, Arash Mehrjou, Francesco Locatello, Bernhard Schölkopf Proceedings of the 35th Conference on Uncertainty in Artificial Intelligence, 2019
|
| 2019 |
On the Transfer of Inductive Bias from Simulation to the Real World: a New Disentanglement Dataset
Muhammad Waleed Gondal, Manuel Wüthrich, Dorde Miladinovic, Francesco Locatello, Martin Breidt, Valentin Volchkov, Joel Akpo, Olivier Bachem, Bernhard Schölkopf, Stefan Bauer Advances in Neural Information Processing Systems 32 (NIPS 2019)
|
| 2019 |
On the Fairness of Disentangled Representations
Francesco Locatello, Gabriele Abbati, Tom Rainforth, Stefan Bauer, Bernhard Schölkopf, Olivier Bachem Advances in Neural Information Processing Systems 32 (NIPS 2019)
|
| 2019 |
Are Disentangled Representations Helpful for Abstract Visual Reasoning?
Sjoerd van Steenkiste, Francesco Locatello, Jürgen Schmidhuber, Olivier Bachem Advances in Neural Information Processing Systems 32 (NIPS 2019)
|
| 2019 |
Stochastic Conditional Gradient Method for Composite Convex Minimization
Francesco Locatello, Alp Yurtsever, Olivier Fercoq, Volkan Cevher NeurIPS 2019
|
| 2019 |
Breaking the Softmax Bottleneck via Learnable Monotonic Pointwise Non-linearities
Octavian-Eugen Ganea, Sylvain Gelly, Gary Bécigneul, Aliaksei Severyn Proceedings of the 36th International Conference on Machine Learning (ICML)
|
| 2019 |
Poincaré GloVe: Hyperbolic Word Embeddings
Alexandru Tifrea, Gary Becigneul, Octavian-Eugen Ganea 7th International Conference on Learning Representations (ICLR)
|
| 2019 |
Convolutional neural networks: A magic bullet for gravitational-wave detection?
Timothy D. Gebhard, Niki Kilbertus, Ian Harry, and Bernhard Schölkopf Physical Review D
|
| 2019 |
Stochastic Frank-Wolfe for Composite Convex Minimization
Francesco Locatello, Alp Yurtsever, Olivier Fercoq, Volkan Cevher Advances in Neural Information Processing Systems 32 (NIPS 2019)
|
| 2019 |
Superquadrics Revisited: Learning 3D Shape Parsing beyond Cuboids
Despoina Paschalidou, Ali Osman Ulusoy and Andreas Geiger Proceedings IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2019
|
| 2019 |
Resolving 3D Human Pose Ambiguities with 3D Scene Constraints
Mohamed Hassan, Vasileios Choutas, Dimitrios Tzionas and Michael J. Black International Conference on Computer Vision (ICCV) 2019
|
| 2019 |
Expressive Body Capture: 3D Hands, Face, and Body from a Single Image
Georgios Pavlakos*, Vasileios Choutas*, Nima Ghorbani, Timo Bolkart, Ahmed A. A. Osman, Dimitrios Tzionas, and Michael J. Black (*authors contributed equally) Proceedings IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2019
|
| 2019 |
Fast Gaussian Process Based Gradient Matching for Parameter Identification in Systems of Nonlinear ODEs
Philippe Wenk, Alkis Gotovos, Stefan Bauer, Nico S. Gorbach, Andreas Krause, Joachim M. Buhmann Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics (AISTATS)
|
| 2019 |
Safe Exploration for Interactive Machine Learning
Matteo Turchetta, Felix Berkenkamp and Andreas Krause Advances in Neural Information Processing Systems 32 (NIPS 2019)
|
| 2019 |
Monocular Neural Image Based Rendering with Continuous View Control
Xu Chen*, Jie Song* and Otmar Hilliges (*These two authors contributed equally to this work) International Conference on Computer Vision (ICCV) 2019
|
| 2019 |
Unpaired Pose Guided Human Image Generation
Xu Chen, Jie Song and Otmar Hilliges The IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops 2019
|
| 2019 |
Pragmatism and Variable Transformations in Causal Modelling
Sebastian Weichwald Doctoral Thesis, ETH Zurich
|
| 2019 |
Intervention stability in statistics: Benefiting from causality
Niklas Pfister Doctoral Thesis, ETH Zurich
|
| 2019 |
Modeling the visual world: reconstruction and neural episodic representation
Nikolay Savinov Doctoral Thesis, ETH Zurich
|
| 2019 |
Safe Exploration in Reinforcement Learning: Theory and Applications in Robotics
Felix Berkenkamp Doctoral Thesis, ETH Zurich
|
| 2019 |
Provable Non-Convex Optimization and Algorithm Validation via Submodularity
An Bian Doctoral Thesis, ETH Zurich
|
| 2019 |
On the Foundations of Robotic Use-wear Analysis: Improving Archaeological Methods for Artefact Characterization with Robotics Technology
Johannes Pfleging Doctoral Thesis, ETH Zurich
|
| 2019 |
Inferring the trial-by-trial structure of pitch reinforcement learning in songbirds
Anja Zai Doctoral Thesis, ETH Zurich
|
| 2019 |
Microswimmers for Targeted Cell and Drug Delivery
Immihan Ceren Yasa Doctoral Thesis, ETH Zurich
|
| 2018 |
Recent Advances in Wearable Transdermal Delivery Systems
Morteza Amjadi, Sahar Sheykhansari, Bradley J. Nelson, Metin Sitti Advanced Materials
|
| 2018 |
Boosting Variational Inference: an Optimization Perspective
Francesco Locatello, Rajiv Khanna, Joydeep Ghosh, Gunnar Rätsch Proceedings of the 21st International Conference on Artificial Intelligence and Statistics (AISTATS) 2018, Lanzarote, Spain. PMLR: Volume 84.
|
| 2018 |
RayNet: Learning Volumetric 3D Reconstruction with Ray Potentials
Despoina Paschalidou, Ali Osman Ulusoy, Carolin Schmitt, Luc van Gool, Andreas Geiger Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
|
| 2018 |
A Conditional Gradient Framework for Composite Convex Minimization with Applications to SDP
Alp Yurtsever, Olivier Fercoq, Francesco Locatello, Volkan Cevher Proceedings of the 35th International Conference on Machine Learning (ICML) 2018
|
| 2018 |
Learning Independent Causal Mechanisms
Giambattista Parascandolo, Niki Kilbertus, Mateo Rojas-Carulla, Bernhard Schölkopf Proceedings of the 35th International Conference on Machine Learning (ICML) 2018
|
| 2018 |
Emotionally Supporting Humans Through Robot Hugs
Alexis E. Block and Katherine J. Kuchenbecker Companion Proceedings of the ACM/IEEE International Conference on Human-Robot Interaction (HRI)
|
| 2018 |
Sensing Paper Actuators Based on Graphite-Carbon Nanotube Hybrid Films
Morteza Amjadi and Metin Sitti Advanced Science
|
| 2018 |
Tempered Adversarial Networks
Mehdi S.M. Sajjadi, Giambattista Parascandolo, Arash Mehrjou, Bernhard Schölkopf Proceedings of the 35th International Conference on Machine Learning (ICML) 2018
|
| 2018 |
Unsupervised Odometry and Depth Learning for Endoscopic Capsule Robots
Mehmet Turan, Evin Pinar Ornek, Nail Ibrahimli, Can Giracoglu, Yasin Almalioglu, Mehmet Fatih Yanik, Metin Sitti IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
|
| 2018 |
Magnetic-Visual Sensor Fusion-based Dense 3D Reconstruction and Localization for Endoscopic Capsule Robots
Mehmet Turan, Yasin Almalioglu, Evin Pinar Ornek, Helder Araujo, Mehmet Fatih Yanik, Metin Sitti IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
|
| 2018 |
Self-Sensing Paper Actuators Based on Graphite-Carbon Nanotube Hybrid Films
Morteza Amjadi, Metin Sitti Advanced Science
|
| 2018 |
Learning-based Model Predictive Control for Safe Exploration and Reinforcement Learning
Torsten Koller, Felix Berkenkamp, Matteo Turchetta, Andreas Krause Proceedings of the IEEE Conference on Decision and Control (CDC) 2018
|
| 2018 |
Self-Folded Hydrogel Tubes for Implantable Muscular Tissue Scaffolds
Lorenzo Vannozzi, Immihan Ceren Yasa, Hakan Ceylan, Arianna Menciassi, Leonardo Ricotti, Metin Sitti Macromolecular Bioscience
|
| 2018 |
On Matching Pursuit and Coordinate Descent
Francesco Locatello*, Anant Raj*, Sai Praneeth Karimireddy, Gunnar Rätsch, Bernhard Schölkopf, Sebastian U. Stich, Martin Jaggi; * shared first authorship Proceedings of Machine Learning Research
|
| 2018 |
Deep Self-Organization: Interpretable Discrete Representation Learning on Time Series
Vincent Fortuin, Matthias Hüser, Francesco Locatello, Heiko Strathmann, Gunnar Rätsch Preprint arXiv:1806.02199
|
| 2018 |
Systematic self-exploration of behaviors for robots in a dynamical systems framework
Cristina Pinneri, Georg Martius Conference on Artificial Life
|
| 2018 |
Kinetics of 2D-constrained orbitally-shaken particles
Dhananjay Ipparthi, Tijmen A. G. Hageman, Nicolas Cambier, Metin Sitti, Marco Dorigo, Leon Abelmann, Massimo Mastrangeli Physical Review E
|
| 2018 |
Boosting Black Box Variational Inference
Francesco Locatello*, Gideon Dresdner*, Rajiv Khanna, Isabel Valera, Gunnar Rätsch; *shared first authorship Advances in Neural Information Processing Systems 31 (NIPS 2018)
|
| 2018 |
Learning a Structured Neural Network Policy for a Hopping Task
Julian Viereck, Jules Kozolinsky, Alexander Herzog, Ludovic Righetti IEEE Robotics and Automation Letters
|
| 2018 |
Optimal DR-Submodular Maximization and Applications to Provable Mean Field Inference
An Bian, Joachim M. Buhmann, Andreas Krause Preprint arXiv:1805.07482
|
| 2018 |
Advanced Localization and Mapping Techniques for Endoscopic Capsule Robots
Mehmet Turan Doctoral Thesis, ETH Zurich
|
| 2018 |
3D-Printed Biodegradable Microswimmer for Drug Delivery and Targeted Cell Labeling
Ceylan, H., Yasa, I. C., Yasa, O., Tabak, A. F., Giltinan, J., & Sitti, M. Preprint bioRxiv 379024
|
| 2018 |
Hyperbolic Neural Networks
Octavian-Eugen Ganea, Gary Bécigneul, Thomas Hofmann Neural Information Processing Systems
|
| 2018 |
Small-scale soft-bodied robot with multimodal locomotion
Wenqi Hu, Guo Zhan Lum, Massimo Mastrangeli, Metin Sitti Nature
|
| 2018 |
Gait learning for soft microrobots controlled by light fields
Alexande von Rohr, Sebastian Trimpe, Alonso Marco, Peer Fischer, Stefano Palagi Proceeding of the International Conference on Intelligent Robots and Systems
|
| 2018 |
Large-scale Supervised Learning for 3D Point Cloud Labeling: Semantic3D.net
Timo Hackel, Jan D. Wegner, Nikolay Savinov, Lubor Ladicky, Konrad Schindler, Marc Pollefeys Photogrammetric Engineering and Remote Sensing
|
| 2018 |
Hyperbolic Entailment Cones for Learning Hierarchical Embeddings
Octavian-Eugen Ganea, Gary Bécigneul, Thomas Hofmann International Conference on Machine Learning (ICML) 2018
|
| 2018 |
Uncertainty in Robotics - Tractable Inference and Policy Optimization
Manuel Wüthrich Doctoral Thesis, ETH Zürich
|
| 2018 |
Softness, Warmth, and Responsiveness Improve Robot Hugs
Alexis E. Block and Katherine J. Kuchenbecker International Journal of Social Robotics
|
| 2018 |
Generalization in anti-causal learning
Niki Kilbertus, Giambattista Parascandolo and Bernhard Schölkopf NeurIPS 2018 Workshop on Critiquing and Correcting Trends in Machine Learning
|
| 2018 |
Adaptive Skip Intervals: Temporal Abstraction for Recurrent Dynamical Models
Alexander Neitz, Giambattista Parascandolo, Stefan Bauer and Bernhard Schölkopf Advances in Neural Information Processing Systems 31 (NIPS 2018)
|
| 2018 |
Reinforced Imitation: Sample Efficient Deep Reinforcement Learning for Map-less Navigation by Leveraging Prior Demonstrations
Mark Pfeiffer, Samarth Shukla, Matteo Turchetta, Cesar Cadena, Andreas Krause, Roland Siegwart and Juan Nieto IEEE Robotics and Automation Letters (Volume: 3, Issue: 4, Oct. 2018)
|
| 2018 |
A Flexible Needle with Fluoroscopic Imaging and Magnetic Steering for Neurosurgical Applications
Ayoung Hong Doctoral Thesis, ETH Zurich
|
| 2018 |
Sampling for Large-Scale Clustering
Olivier Bachem Doctoral Thesis, ETH Zurich
|
| 2018 |
Computational Causality and Learning from Partitioned Data
Christina Heinze-Deml Doctoral Thesis, ETH Zurich
|
| 2017 |
An Efficient Optimal Planning and Control Framework For Quadrupedal Locomotion
Farbod Farshidian, Michael Neunert, Alexander W. Winkler, Gonzalo Rey, Jonas Buchli IEEE International Conference on Robotics and Automation (ICRA)
|
| 2017 |
Efficient Kinematic Planning for Mobile Manipulators with Non-holonomic Constraints Using Optimal Control
Markus Giftthaler, Farbod Farshidian, Timothy Sandy, Lukas Stadelmann, Jonas Buchli IEEE International Conference on Robotics and Automation (ICRA)
|
| 2017 |
Online Walking Motion and Contact Optimization for Quadruped Robots
Alexander W. Winkler, Farbod Farshidian, Michael Neunert, Diego Pardo, Jonas Buchli IEEE International Conference on Robotics and Automation (ICRA)
|
| 2017 |
A Unified Optimization View on Generalized Matching Pursuit and Frank-Wolfe
Francesco Locatello, Rajiv Khanna, Michael Tschannen, Martin Jaggi Proceedings of the 20th International Conference on Artificial Intelligence and Statistics (AISTATS) 2017, Fort Lauderdale, Florida, USA
|
| 2017 |
Virtual vs. Real: Trading Off Simulations and Physical Experiments in Reinforcement Learning with Bayesian Optimization
Alonso Marco, Felix Berkenkamp, Philipp Hennig, Angela P. Schoellig, Andreas Krause, Stefan Schaal, Sebastian Trimpe IEEE International Conference on Robotics and Automation (ICRA)
|
| 2017 |
Nonparametric Disturbance Correction and Nonlinear Dual Control
Edgar D. Klenske Doctoral Thesis, ETH Zurich
|
| 2017 |
Guaranteed Non-convex Optimization: Submodular Maximization over Continuous Domains
Andrew An Bian, Baharan Mirzasoleiman, Joachim M. Buhmann, Andreas Krause 20th International Conference on Artificial Intelligence and Statistics (AISTATS) 2017
|
| 2017 |
Causal Consistency of Structural Equation Models
Paul K. Rubenstein*, Sebastian Weichwald*, Stephan Bongers, Joris M. Mooij, Dominik Janzing, Moritz Grosse-Wentrup, Bernhard Schölkopf (* joint first authorship) Proceedings of the Annual Conference on Uncertainty in Artificial Intelligence (UAI)
|
| 2017 |
Causal models for decision making via integrative inference
Philipp Geiger Doctoral Thesis, University of Stuttgart
|
| 2017 |
Planning and Control in Face of Uncertainty with Applications to Legged Robots
Farbod Farshidian Doctoral Thesis, ETH Zurich
|
| 2017 |
Optimization-based motion generation for multiped robots in contact scenarios
Alexander Herzog Doctoral Thesis, ETH Zurich
|
| 2017 |
Greedy Algorithms for Cone Constrained Optimization with Convergence Guarantees
Francesco Locatello, Michael Tschannen, Gunnar Raetsch, Martin Jaggi Pre-proceedings of the Annual Conference on Neural Information Processing Systems 30 (NIPS 2017)
|
| 2017 |
Recent Advances in Skin Penetration Enhancers for Transdermal Gene and Drug Delivery
Amjadi M., Mostaghaci B., Sitti M. Current Gene Therapy
|
| 2017 |
Bioinspired Composite Microfibers for Skin Adhesion and Signal Amplification of Wearable Sensors
Dirk-M. Drotlef, Morteza Amjadi, Muhammad Yunusa, Metin Sitti Advanced Materials
|
| 2017 |
Safe Model-based Reinforcement Learning with Stability Guarantees
Felix Berkenkamp, Matteo Turchetta, Angela P. Schoellig, Andreas Krause Neural Information Processing Systems (NIPS), 2017
|
| 2017 |
Sparse-then-dense alignment-based 3D map reconstruction method for endoscopic capsule robots
Mehmet Turan, Yusuf Yigit Pilavci, Ipek Ganiyusufoglu, Helder Araujo, Ender Konukoglu, Metin Sitti Machine Vision and Applications
|
| 2017 |
Deep EndoVO: A recurrent convolutional neural network (RCNN) based visual odometry approach for endoscopic capsule robots
Mehmet Turan, Yasin Almalioglu, Helder Araujo, Ender Konukoglu, Metin Sitti Neurocomputing
|
| 2017 |
A non-rigid map fusion-based direct SLAM method for endoscopic capsule robots
Mehmet Turan, Yasin Almalioglu, Helder Araujo, Ender Konukoglu, Metin Sitti International Journal of Intelligent Robotics and Applications
|
| 2017 |
A deep learning based fusion of RGB camera information and magnetic localization information for endoscopic capsule robots
Mehmet Turan, Jahanzaib Shabbir, Helder Araujo, Ender Konukoglu, Metin Sitti International Journal of Intelligent Robotics and Applications
|
| 2017 |
Surface tension-driven self-alignment
Massimo Mastrangeli, Quan Zhou, Veikko Sariola, Pierre Lambert Soft Matter
|
| 2017 |
3D Chemical Patterning of Micromaterials for Encoded Functionality
Hakan Ceylan, Immihan Ceren Yasa, Metin Sitti* Advanced Materials
|
| 2017 |
Soft Actuators for Small-Scale Robotics
Lindsey Hines, Kirstin Petersen, Guo Zhan Lum, Metin Sitti Advanced Materials
|
| 2017 |
Mobile microrobots for bioengineering applications
Hakan Ceylan, Joshua Giltinan, Kristen Kozielskia, Metin Sitti Lab Chip
|
| 2017 |
Avoiding Discrimination through Causal Reasoning
Niki Kilbertus, Moritz Hardt, Mateo Rojas-Carulla, Dominik Janzing, Giambattista Parascandolo, Bernhard Schölkopf Neural Information Processing Systems (NIPS), 2017
|
| 2017 |
Optical Flow Estimation using a Spatial Pyramid Network
Anurag Ranjan, Michael J. Black IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
|
| 2017 |
Continuous DR-submodular Maximization: Structure and Algorithms
An Bian, Kfir Levy, Andreas Krause, Joachim M. Buhmann Neural Information Processing Systems (NIPS)
|
| 2017 |
Scalable Variational Inference for Dynamical Systems
Nico S. Gorbach, Stefan Bauer, Joachim M. Buhmann Neural Information Processing Systems (NIPS)
|
| 2017 |
Model Selection for Gaussian Process Regression
Nico S. Gorbach, Andrew An Bian, Benjamin Fischer, Stefan Bauer, Joachim M. Buhmann German Conference on Pattern Recognition
|
| 2017 |
Sequential Linear Quadratic Optimal Control for Nonlinear Switched Systems
Farbod Farshidian, Maryam Kamgarpour, Diego Pardo, Jonas Buchli International Federation of Automatic Control (IFAC)
|
| 2017 |
Group invariance principles for causal generative models
Michel Besserve, Naji Shajarisales, Bernhard Schölkopf, Dominik Janzing Preprint arXiv:1705.02212
|
| 2017 |
Efficient and Flexible Inference for Stochastic Systems
Stefan Bauer, Nico S. Gorbach, Djordje Miladinovic, Joachim M. Buhmann Neural Information Processing Systems (NIPS)
|
| 2017 |
Locomotion of light-driven soft microrobots through a hydrogel via local melting
Stefano Palagi, Andrew G. Mark, Kai Melde, Tian Qiu, Hao Zeng, Camilla Parmeggiani, Daniele Martella, Diederik S. Wiersma, Peer Fischer International Conference on Manipulation, Automation and Robotics at Small Scales (MARSS)
|
| 2017 |
MRI-Based Surgical Planning for Lumbar Spinal Stenosis
Gabriele Abbati, Stefan Bauer, Sebastian Winklhofer, Peter J. Schüffler, Ulrike Held, Jakob M. Burgstaller, Johann Steurer, Joachim M. Buhmann Medical Image Computing and Computer-Assisted Intervention (MICCAI)
|
| 2017 |
CONVWAVE: Searching for Gravitational Waves with Fully Convolutional Neural Nets
Timothy Gebhard, Niki Kilbertus, Ian Harry, Giambattista Parascandolo, Bernhard Schölkopf Worksop on Deep Learning for Physical Sciences at NeurIPS 2017
|
| 2017 |
Soft Micro-Robots for Military Medicine
Hen-Wei Huang, Andrew J. Petruska, Bradley J. Nelson HDIAC Journal
|
| 2017 |
On the effect of pooling on the geometry of representations
Gary Bécigneul Preprint arXiv:1703.06726
|
| 2017 |
Momentum-Centered Control of Contact Interactions
Ludovic Righetti, Alexander Herzog Geometric and Numerical Foundations of Movements
|
| 2017 |
Optical Flow in Mostly Rigid Scenes
Jonas Wulff, Laura Sevilla-Lara, Michael J. Black IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
|
| 2017 |
On the Design of LQR Kernels for Efficient Controller Learning
Alonso Marco, Philipp Hennig, Stefan Schaal, Sebastian Trimpe IEEE Conference on Decision and Control
|
| 2017 |
Self-Assembly of Micro/Nanosystems across Scales and Interfaces
Massimo Mastrangeli International Conference on Solid-State Sensors, Actuators and Microsystems (TRANSDUCERS)
|
| 2017 |
Semantic Video CNNs through Representation Warping
Raghudeep Gadde, Varun Jampani, Peter V. Gehler International Conference on Computer Vision (ICCV)
|
| 2017 |
Event-based state estimation: an emulation-based approach
Sebastian Trimpe Institution of Engineering and Technology Control Theory & Applications
|
| 2017 |
Yield prediction in parallel homogeneous assembly
Dhananjay Ipparthi, Andrew Winslow, Metin Sitti, Marco Dorigo, Massimo Mastrangeli Soft Matter
|
| 2017 |
Estimation-Based Control of a Magnetic Endoscope without Device Localization
Janis Edelmann, Andrew J. Petruska, Bradley J. Nelson Journal of Medical Robotics Research
|
| 2017 |
Guarantees for Greedy Maximization of Non-submodular Functions with Applications
Andrew An Bian, Joachim M. Buhmann, Andreas Krause, Sebastian Tschiatschek Preprint arXiv:1703.02100
|
| 2017 |
Parallel Coordinate Descent Newton Method for Efficient L1-Regularized Loss Minimization
An Bian, Xiong Li, Yuncai Liu, Ming-Hsuan Yang Preprint arXiv:1306.4080
|
| 2017 |
Distributed Event-based State Estimation
Sebastian Trimpe Preprint arXiv:1511.05223
|
| 2017 |
Scalable Pneumatic and Tendon Driven Robotic Joint Inspired by Jumping Spiders
Alexander Spröwitz, Chantal Göttler, Ayush Sinha, Corentin Caer, Mehmet Ugur Öoztekin, Kirstin Petersen, Metin Sitti IEEE International Conference on Robotics and Automation (ICRA)
|
| 2017 |
Robust Whole-Body Motion Control of Legged Robots
Farbod Farshidian, Edo Jelavic, Alexander W. Winkler, Jonas Buchli IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
|
| 2017 |
Real-Time Motion Planning of Legged Robots: A Model Predictive Control Approach
Farbod Farshidian, Edo Jelavic, Asutosh Satapathy, Markus Giftthaler, Jonas Buchli IEEE-RAS 17th International Conference on Humanoid Robotics (Humanoids)
|
| 2017 |
Learning Independent Causal Mechanisms
Giambattista Parascandolo, Mateo Rojas-Carulla, Niki Kilbertus and Bernhard Schölkopf Workshop on Learning Disentangled Representations: from Perception to Control, 31st Conference on Neural Information Processing Systems (NIPS 2017)
|
| 2016 |
The Arrow of Time in Multivariate Time Series
Stefan Bauer, Bernhard Schölkopf, Jonas Peters arXiv:1603.00784
|
| 2016 |
Inflated Soft Actuators with Reversible Stable Deformations
Lindsey Hines, Kirstin Petersen, Metin Sitti Advanced Materials
|
| 2016 |
Gaussian Process-Based Predictive Control for Periodic Error Correction
Edgar D. Klenske, Melanie N. Zeilinger, Bernhard Schölkopf, Philipp Hennig IEEE Transactions on Control Systems Technology
|
| 2016 |
High-Performance Multiresponsive Paper Actuators
Morteza Amjadi and Metin Sitti ACS Nano
|
| 2016 |
Efficient whole-body trajectory optimization using contact constraint relaxation
Michael Neunert, Farbod Farshidian, Jonas Buchli 2016 IEEE-RAS 16th International Conference on Humanoid Robots (Humanoids)
|
| 2016 |
Approximate dual control maintaining the value of information with an application to building control
Edgar D. Klenske, Philipp Hennig, Bernhard Scholkopf and Melanie N. Zeilinger European Control Conference (ECC)
|
| 2016 |
Structured light enables biomimetic swimming and versatile locomotion of photoresponsive soft microrobots
Stefano Palagi, Andrew G. Mark, Shang Yik Reigh, Kai Melde, Tian Qiu, Hao Zeng, Camilla Parmeggiani, Daniele Martella, Alberto Sanchez-Castillo, Nadia Kapernaum, Frank Giesselmann, Diederik S. Wiersma, Eric Lauga and Peer Fischer Nature Materials
|
| 2016 |
Soft continuous microrobots with multiple intrinsic degrees of freedom
Stefano Palagi, Andrew G. Mark, Kai Melde, Hao Zeng, Camilla Parmeggiani, Daniele Martella, Diederik S. Wiersma, Peer Fischer IEEE Xplore
|
| 2016 |
Stepping Stabilization Using a Combination of DCM Tracking and Step Adjustment
Majid Khadiv, Sebastien Kleff, Alexander Herzog, S. Ali. A. Moosavian, Stefan Schaal, and Ludovic Righetti 4th RSI International Conference on Robotics and Mechatronics
|
| 2016 |
Step Timing Adjustment: A Step toward Generating Robust Gaits
Majid Khadiv, Alexander Herzog, S. Ali. A. Moosavian, and Ludovic Righetti Proceedings of the 2016 IEEE-RAS International Conference on Humanoid Robots
|
| 2016 |
Structured contact force optimization for kino-dynamic motion generation
Alexander Herzog, Stefan Schaal, Ludovic Righetti International Conference on Intelligent Robots and Systems (IROS) 2016
|
| 2016 |
Safe Exploration in Finite Markov Decision Processes with Gaussian Processes
Matteo Turchetta, Felix Berkenkamp, Andreas Krause 29th Conference on Neural Information Processing Systems (NIPS 2016), Barcelona, Spain
|
| 2016 |
Causal inference in partially linear structural equation models
Jan Ernest, Dominik Rothenhäusler, Peter Bühlmann Preprint arXiv:1607.05980
|
| 2016 |
Nonparametric causal inference from observational time series through marginal integration
Shu Li, Jan Ernest, Peter Bühlmann Methodology (stat.ME)
|
| 2016 |
Causal inference in semiparametric and nonparametric structural equation models
Jan Ernest Doctoral Thesis, ETH Zurich
|
| 2016 |
Stretchable, Skin-Mountable, and Wearable Strain Sensors and Their Potential Applications: A Review
Morteza Amjadi, Ki-Uk Kyung, Inkyu Park*, Metin Sitti* Advanced Functional Materials
|
| 2016 |
Multi-Organ Cancer Classification and Survival Analysis
Stefan Bauer, Nicolas Carion, Peter Schüffler, Thomas Fuchs, Peter Wild, Joachim M. Buhmann Neural Information Processing Systems (NIPS)
|
| 2016 |
Model Selection for Gaussian Process Regression by Approximation Set Coding
Benjamin Fischer, Nico Gorbach, Stefan Bauer, Yatao Bian, Joachim M. Buhmann Preprint arXiv:1610.00907
|
| 2016 |
The Role of Measurement Uncertainty in Optimal Control for Contact Interactions
Brahayam Ponton, Stefan Schaal, Ludovic Righetti The 12th International Workshop on the Algorithmic Foundations of Robotics (WAFR)
|
| 2016 |
Information-Theoretic Analysis of MaxCut Algorithms
An Bian, Alexey Gronskiy, Joachim M. Buhmann Information Theory and Applications
|
| 2016 |
A new perspective and extension of the Gaussian Filter
Manuel Wüthrich, Sebastian Trimpe, Cristina Garcia Cifuentes, Daniel Kappler, Stefan Schaal International Journal of Robotics Research
|
| 2016 |
Automatic LQR tuning based on Gaussian process global optimization
Alonso Marco, Philipp Hennig, Jeannette Bohg, Stefan Schaal, Sebastian Trimpe IEEE International Conference on Robotics and Automation (ICRA)
|
| 2016 |
Communication Rate Analysis for Event-based State Estimation
Simon Ebner, Sebastian Trimpe Proceedings of the 13th International Workshop on Discrete Event
|
| 2016 |
A Convex Model of Humanoid Momentum Dynamics for Multi-Contact Motion Generation
Brahayam Ponton, Alexander Herzog, Stefan Schaal, Ludovic Righetti Preprint arXiv:1607.08644
|
| 2016 |
Predictive and self triggering for event-based state estimation
Sebastian Trimpe IEEE 55th Conference on Decision and Control (CDC)
|
| 2016 |
Modeling confounding by half-sibling regression
Bernhard Schölkopf, David W. Hogg, Dun Wang, Daniel Foreman-Mackey, Dominik Janzing, Carl-Johann Simon-Gabriel, Jonas Peters Proceedings of the National Academy of Sciences of the United States of America (PNAS)
|
| 2015 |
Causal inference using invariant prediction: identification and confidence intervals
Jonas Peters, Peter Bühlmann, Nicolai Meinshausen arXiv:1501.01332
|
| 2015 |
Backshift: Learning causal cyclic graphs from unknown shift interventions
Dominik Rothenhäusler, Christina Heinze, Jonas Peters, Nicolai Meinshausen Proceedings of the 29th Annual Conference on Neural Information Processing Systems (NIPS 2015)
|
| 2015 |
Event-based Estimation and Control for Remote Robot Operation with Reduced Communication
Sebastian Trimpe, Jonas Buchli 2015 IEEE International Conference on Robotics and Automation (ICRA)
|
| 2015 |
Risk Sensitive, Nonlinear Optimal Control: Iterative Linear Exponential-Quadratic Optimal Control with Gaussian Noise
Farbod Farshidian and Jonas Buchli Preprint arXiv:1512.07173
|