Publications

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
IEEE International Conference on Robotics and Automation 2021 (accepted)
2021
Algorithmic Recourse: from Counterfactual Explanations to Interventions
Karimi, A., Schölkopf, B., Valera, I.
4th Conference on Fairness, Accountability, and Transparency (ACM FAccT), accepted
2021
Self-supervised Visual Reinforcement Learning with Object-centric Representations
Zadaianchuk, A., Seitzer, M., Martius, G.
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 (accepted)
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), May 2021 (accepted)
2021
DP-MERF: Differentially Private Mean Embeddings with Random Features for Practical Privacy-Preserving Data Generation
Harder, F. and Adamczewski, K. and Park, M.
AISTATS 2021, accepted
2021
Dirichlet pruning for neural networks
Adamczewski, K. and Park, M.
AISTATS 2021, accepted
2021
Information Directed Reward Learning for Reinforcement Learning
David Lindner, Matteo Turchetta, Sebastian Tschiatschek, Kamil Ciosek, Andreas Krause
Preprint arXiv:2102.12466
2021
Safe and Efficient Model-free Adaptive Control via Bayesian Optimization
C. König, M. Turchetta, J. Lygeros, A. Rupenyan, A. Krause
Preprint
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
Preprint arXiv:2104.10078
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)
38th International Conference on Machine Learning, ICML, July 2021, (accepted)
2021
From Point Clouds to High-Fidelity Models - Advanced Methods for Image-Based 3D Reconstruction
Audrey Richard
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
Model-Agnostic Counterfactual Explanations for Consequential Decisions
Amir-Hossein Karimi, Gilles Barthe, Borja Balle, Isabel Valera
Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics (AISTATS) (accepted)
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
Scaling Guarantees for Nearest Counterfactual Explanations
Mohammadi, K. and Karimi, A.-H. and Barthe, G. and Valera, I.
Preprint arXiv:2010.04965
2020
A survey of algorithmic recourse: definitions, formulations, solutions, and prospects
Karimi, A., Barthe, G., Schölkopf, B., Valera, I.
Preprint arXiv:2010.04050
2020
On the Fairness of Causal Algorithmic Recourse
von Kügelgen, J., Bhatt, U., Karimi, A., Valera, I., Weller, A., Schölkopf, B.
Preprint arXiv:2010.06529
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
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