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
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	Pathologies in priors and inference for Bayesian transformers Tristan Cinquin, Alexander Immer, Max Horn, Vincent Fortuin AABI 2022 (accepted)
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	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	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)
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)
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)
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	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)
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
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	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	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)
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
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	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	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	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	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	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
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
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)
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	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	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	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	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	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	Towards Causal Algorithmic Recourse Amir-Hossein Karimi*, Julius von Kügelgen*, Bernhard Schölkopf, Isabel Valera Lecture Notes in Computer Science (book chapter)
2022	Mapping Vegetation Height — Probabilistic Deep Learning for Global Remote Sensing Nico Lang Doctoral Thesis, ETH Zurich
2022	Provable concept learning for interpretable predictions using variational inference Armeen Taeb, Nicolo Ruggeri, Carina Schnuck, Fanny Yang arXiv preprint arXiv.2204.00492
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
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
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	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 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	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	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	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	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	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	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	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	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	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	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	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	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	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)
2021	On the Geometry of Data Representations Gary Bécigneul 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	From Point Clouds to High-Fidelity Models - Advanced Methods for Image-Based 3D Reconstruction Audrey Richard Doctoral Thesis, ETH Zurich
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	Scalable Marginal Likelihood Estimation for Model Selection in Deep Learning A Immer, M Bauer, V Fortuin, G Rätsch, ME Khan ICML 2021
2021	Improving predictions of Bayesian neural networks via local linearization A Immer, M Korzepa, M Bauer AISTATS, 2021
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
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	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	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	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	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	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	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	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	Neighborhood Contrastive Learning Applied to Online Patient Monitoring Hugo Yèche, Gideon Dresdner, Francesco Locatello, Matthias Hüser, Gunnar Rätsch Submitted ICML 2021
2021	Locomotion of Spiders - What Robotics can Learn from Spiders and vice versa Chantal Göttler Doctoral Thesis, ETH Zurich
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	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	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	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	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)
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	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	Collaborative Regression of Expressive Bodies using Moderation Feng, Y., Choutas, V., Bolkart, T., Tzionas, D., Black, M. International Conference on 3D Vision (3DV)
2021	Risk-Averse Zero-Order Trajectory Optimization Vlastelica*, M., Blaes*, S., Pinneri, C., Martius, G. (*Equal Contribution) Conference on Robot Learning, 2021 (inproceedings)
2021	Self-supervised Reinforcement Learning with Independently Controllable Subgoals Zadaianchuk, A., Martius, G., Yang, F. In Conference on Robot Learning, November 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	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	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 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	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	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	Navigating the Latent Spaces of Deep Neural Networks using Adversarial Techniques Yannic Kilcher Doctoral Thesis, ETH Zurich
2021	On Training Deep Generative Models with Latent Variables Djordje Miladinovic Doctoral Thesis, ETH Zurich
2021	HuggieBot: An Interactive Hugging Robot With Visual and Haptic Perception Alexis E. Block Doctoral Thesis, ETH Zurich
2021	Deep Learning Beyond the Training Distribution Giambattista Parascandolo Doctoral Thesis, ETH Zurich
2021	Learning Deep Models with Primitive-Based Representations Despoina Paschalidou Doctoral Thesis, ETH Zurich
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	Computationally Tractable Riemannian Manifolds for Graph Embeddings Cruceru, C., Becigneul, G., & Ganea, O.-E. Proceedings of the 35th AAAI Conference on Artificial Intelligence
2021	Laplace Redux – Effortless Bayesian Deep Learning E Daxberger*, A Kristiadi*, A Immer*, R Eschenhagen*, M Bauer, P Hennig (*Equal contributors) NeurIPS, 2021
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	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	Dynamics of Learning and Learning of Dynamics Arash Mehrjou Doctoral Thesis, ETH Zurich
2021	Safety and Robustness in Reinforcement Learning Matteo Turchetta Doctoral Thesis, ETH Zurich
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
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	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	Abstractive Document Summarization in High and Low Resource Settings Nikola I. Nikolov Doctoral Thesis, ETH Zurich
2020	3D Fluid Flow Estimation from Multi-View Particle Images using Physical Priors Katrin Lasinger Doctoral Thesis, ETH Zurich
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	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	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	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	Radial and Directional Posteriors for Bayesian Deep Learning Oh, C., Adamczewski, K., Park, M. Proceedings of the 34th Conference on Artificial Intelligence (AAAI)
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	Convolutional Occupancy Networks S. Peng, M. Niemeyer, L. Mescheder, M. Pollefeys and A. Geiger European Conference on Computer Vision (ECCV), 2020 (spotlight)
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	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	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)
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