Publications

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
arXiv preprint arXiv:2401.18070
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
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 (accepted)
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 (accepted)
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)
2023
Sample-efficient Model-based Reinforcement Learning
Cristina Pinneri
Doctoral Thesis, ETH Zurich
2023
Goal-conditioned Offline Planning from Curious Exploration
Marco Bagatella and Georg Martius
Advances in Neural Information Processing Systems (NeurIPS), 2023
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 (accepted)
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
2023
Learning Clothed 3D Human Models with Articulated Neural Implicit Representations
Xu Chen
Doctoral Thesis, ETH Zurich
2023
Advances in Algorithmic Recourse: Ensuring Causal Consistency, Fairness, & Robustness
Amir-Hossein Karimi
Doctoral Thesis, ETH Zurich
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
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
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
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
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
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
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
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
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
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
Challenging Common Assumptions in Multi-task Learning
Cathrin Elich, Lukas Kirchdorfer, Jan M. Köhler and Lukas Schott
Technical Report, 2023
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 (accepted)
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
A framework to generate hypergraphs with community structure
Nicolò Ruggeri, Federico Battiston, Caterina De Bacco
Preprint arXiv:2212.08593
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
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 (accepted)
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
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 (accepted)
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
Model-Free Nonlinear Feedback Optimization
Zhiyu He, Saverio Bolognani, Jianping He, Florian Dörfler, and Xinping Guan
Preprint arXiv:2201.02395
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
Mijung Park, Margarita Vinaroz, Mohammad-Amin Charusaie, Frederik Harder, Kamil Adamczewski
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
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
X. Chen, Y. Zheng, M. Black, O. Hilliges and A. 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
Neural Information Processing Systems (NIPS)
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