Publications
2022 |
A survey of algorithmic recourse: definitions, formulations, solutions, and prospects
Amir-Hossein Karimi, Gilles Barthe, Bernhard Schölkopf, Isabel Valera ACM Computing Surveys 2022
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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
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2022 |
Pathologies in priors and inference for Bayesian transformers
Tristan Cinquin, Alexander Immer, Max Horn, Vincent Fortuin AABI 2022 (accepted)
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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)
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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)
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2022 |
Phenomenology of Double Descent in Finite-Width Neural Networks
Singh, S. P., Lucchi, A., Hofmann, T., Schölkopf, B. 10th International Conference on Learning Representations (ICLR), April 2022 (accepted)
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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 (accepted)
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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 (accepted)
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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)
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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 (accepted)
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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) Preprint arXiv:2202.10638
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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
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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
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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 (accepted)
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2022 |
Bring Your Own Algorithm for Optimal Differentially Private Stochastic Minimax Optimization
Liang Zhang, Kiran Koshy Thekumparampil, Sewoong Oh, Niao He arXiv preprint arXiv:2206.00363
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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
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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
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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
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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
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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)
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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 Preprint arXiv:2206.03126
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2022 |
MonoSDF: Exploring Monocular Geometric Cues for Neural Implicit Surface Reconstruction
Zehao Yu, Songyou Peng, Michael Niemeyer, Torsten Sattler, Andreas Geiger Preprint arXiv:2206.00665
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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 (accepted)
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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
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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
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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)
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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
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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)
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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
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2022 |
Towards Causal Algorithmic Recourse
Amir-Hossein Karimi*, Julius von Kügelgen*, Bernhard Schölkopf, Isabel Valera Lecture Notes in Computer Science (book chapter)
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2022 |
Mapping Vegetation Height — Probabilistic Deep Learning for Global Remote Sensing
Nico Lang Doctoral Thesis, ETH Zurich
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2022 |
Provable concept learning for interpretable predictions using variational inference
Armeen Taeb, Nicolo Ruggeri, Carina Schnuck, Fanny Yang arXiv preprint arXiv.2204.00492
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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
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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
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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)
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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
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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
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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)
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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)
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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)
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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)
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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)
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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
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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
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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)
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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)
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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
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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
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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
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2021 |
Learning an Animatable Detailed 3D Face Model from In-The-Wild Images
Yao Feng, Haiwen Feng, Michael J. Black, Timo Bolkart ACM Transactions on Graphics (ToG), Proc. SIGGRAPH (article)
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2021 |
On the Geometry of Data Representations
Gary Bécigneul Doctoral Thesis, ETH Zurich
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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)
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2021 |
From Point Clouds to High-Fidelity Models - Advanced Methods for Image-Based 3D Reconstruction
Audrey Richard Doctoral Thesis, ETH Zurich
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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
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2021 |
Scalable Marginal Likelihood Estimation for Model Selection in Deep Learning
A Immer, M Bauer, V Fortuin, G Rätsch, ME Khan ICML 2021
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2021 |
Improving predictions of Bayesian neural networks via local linearization
A Immer, M Korzepa, M Bauer AISTATS, 2021
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2021 |
On the Practicality of Deterministic Epistemic Uncertainty
Janis Postels, Mattia Segu, Tao Sun, Luc Van Gool, Fisher Yu, Federico Tombari Preprint arXiv:2107.00649
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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
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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
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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
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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%)
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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
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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
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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
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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
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2021 |
Neighborhood Contrastive Learning Applied to Online Patient Monitoring
Hugo Yèche, Gideon Dresdner, Francesco Locatello, Matthias Hüser, Gunnar Rätsch Submitted ICML 2021
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2021 |
Locomotion of Spiders - What Robotics can Learn from Spiders and vice versa
Chantal Göttler Doctoral Thesis, ETH Zurich
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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
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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
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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)
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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
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2021 |
Analytic Insights into Structure and Rank of Neural Network Hessian Maps
Singh, S. P., Bachmann, G., Hofmann, T. Neural Information Processing Systems 34 (NeurIPS 2021)
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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
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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)
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2021 |
Collaborative Regression of Expressive Bodies using Moderation
Feng, Y., Choutas, V., Bolkart, T., Tzionas, D., Black, M. International Conference on 3D Vision (3DV)
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2021 |
Risk-Averse Zero-Order Trajectory Optimization
Vlastelica*, M., Blaes*, S., Pinneri, C., Martius, G. (*Equal Contribution) Conference on Robot Learning, 2021 (inproceedings)
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2021 |
Self-supervised Reinforcement Learning with Independently Controllable Subgoals
Zadaianchuk, A., Martius, G., Yang, F. In Conference on Robot Learning, November 2021 (inproceedings)
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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)
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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)
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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)
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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)
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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)
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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)
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2021 |
Navigating the Latent Spaces of Deep Neural Networks using Adversarial Techniques
Yannic Kilcher Doctoral Thesis, ETH Zurich
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2021 |
On Training Deep Generative Models with Latent Variables
Djordje Miladinovic Doctoral Thesis, ETH Zurich
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2021 |
HuggieBot: An Interactive Hugging Robot With Visual and Haptic Perception
Alexis E. Block Doctoral Thesis, ETH Zurich
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2021 |
Deep Learning Beyond the Training Distribution
Giambattista Parascandolo Doctoral Thesis, ETH Zurich
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2021 |
Learning Deep Models with Primitive-Based Representations
Despoina Paschalidou Doctoral Thesis, ETH Zurich
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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)
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2021 |
Computationally Tractable Riemannian Manifolds for Graph Embeddings
Cruceru, C., Becigneul, G., & Ganea, O.-E. Proceedings of the 35th AAAI Conference on Artificial Intelligence
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2021 |
Laplace Redux – Effortless Bayesian Deep Learning
E Daxberger*, A Kristiadi*, A Immer*, R Eschenhagen*, M Bauer, P Hennig (*Equal contributors) NeurIPS, 2021
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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
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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
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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
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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)
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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
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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
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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)
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2020 |
Mixed-curvature Variational Autoencoders
Ondrej Skopek, Octavian-Eugen Ganea and Gary Becigneul 8th International Conference on Learning Representations (ICLR) 2020
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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
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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
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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
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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
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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
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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
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2020 |
Optimization for Neural Networks: Quest for Theoretical Understandings
Hadi Daneshmand Doctoral Thesis, ETH Zurich
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2020 |
Fusing Conventional and Robotic Rehabilitation Therapy
Fabian Just Doctoral Thesis, ETH Zurich
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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
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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
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2020 |
Weakly-Supervised Disentanglement Without Compromises
Francesco Locatello, Ben Poole, Gunnar Rätsch, Bernhard Schölkopf, Olivier Bachem, Michael Tschannen Preprint arXiv:2002.02886
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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
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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)
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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
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2020 |
Abstractive Document Summarization in High and Low Resource Settings
Nikola I. Nikolov Doctoral Thesis, ETH Zurich
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2020 |
3D Fluid Flow Estimation from Multi-View Particle Images using Physical Priors
Katrin Lasinger Doctoral Thesis, ETH Zurich
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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)
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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)
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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)
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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)
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2020 |
Radial and Directional Posteriors for Bayesian Deep Learning
Oh, C., Adamczewski, K., Park, M. Proceedings of the 34th Conference on Artificial Intelligence (AAAI)
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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)
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2020 |
Convolutional Occupancy Networks
S. Peng, M. Niemeyer, L. Mescheder, M. Pollefeys and A. Geiger European Conference on Computer Vision (ECCV), 2020 (spotlight)
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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
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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.
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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 |
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 |
Enforcing and Discovering Structure in Machine Learning
Francesco Locatello Doctoral Thesis, ETH Zurich
|
2020 |
Learning Control Objectives from Human Interactions
Marcel Menner Doctoral Thesis, ETH Zurich
|
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 |
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 |
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
|
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
|
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 |
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
|
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)
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2016 |
Causal inference in semiparametric and nonparametric structural equation models
Jan Ernest Doctoral Thesis, ETH Zurich
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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
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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)
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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
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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)
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2016 |
Information-Theoretic Analysis of MaxCut Algorithms
An Bian, Alexey Gronskiy, Joachim M. Buhmann Information Theory and Applications
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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
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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)
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2016 |
Communication Rate Analysis for Event-based State Estimation
Simon Ebner, Sebastian Trimpe Proceedings of the 13th International Workshop on Discrete Event
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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
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2016 |
Predictive and self triggering for event-based state estimation
Sebastian Trimpe IEEE 55th Conference on Decision and Control (CDC)
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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)
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2015 |
Causal inference using invariant prediction: identification and confidence intervals
Jonas Peters, Peter Bühlmann, Nicolai Meinshausen arXiv:1501.01332
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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)
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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)
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2015 |
Risk Sensitive, Nonlinear Optimal Control: Iterative Linear Exponential-Quadratic Optimal Control with Gaussian Noise
Farbod Farshidian and Jonas Buchli Preprint arXiv:1512.07173
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