Publications
Weakly-Supervised Disentanglement Without Compromises
AUTHORS: Francesco Locatello, Ben Poole, Gunnar Rätsch, Bernhard Schölkopf, Olivier Bachem, Michael Tschannen
PUBLISHED: Preprint arXiv:2002.02886
Stochastic Frank-Wolfe for Constrained Finite-Sum Minimization
AUTHORS: Geoffrey Négiar, Gideon Dresdner, Alicia Tsai, Laurent El Ghaoui, Francesco Locatello, Robert M. Freund, Fabian Pedregosa
PUBLISHED: Proceedings of the 37th International Conference on Machine Learning, 2020
Safe Reinforcement Learning via Curriculum Induction
AUTHORS: Matteo Turchetta, Andrey Kolobo, Shital Shah, Andreas Krause and Alekh Agarwal
PUBLISHED: Preprint arXiv:2006.12136
Fusing Conventional and Robotic Rehabilitation Therapy
AUTHORS: Fabian Just
PUBLISHED: Doctoral Thesis, ETH Zurich
Optimization for Neural Networks: Quest for Theoretical Understandings
AUTHORS: Hadi Daneshmand
PUBLISHED: Doctoral Thesis, ETH Zurich
SLEIPNIR: Deterministic and Provably Accurate Feature Expansion for Gaussian Process Regression with Derivatives
AUTHORS: Emmanouil Angelis, Philippe Wenk, Bernhard Schölkopf, Stefan Bauer, Andreas Krause
PUBLISHED: Preprint arXiv:2003.02658, 2020
ODIN: ODE-Informed Regression for Parameter and State Inference in Time-Continuous Dynamical Systems
AUTHORS: Philippe Wenk, Gabriele Abbati, Michael A Osborne, Bernhard Schölkopf, Andreas Krause, Stefan Bauer
PUBLISHED: Proceedings of the 34th AAAI Conference on Artificial Intelligence (AAAI), 2020
DeepMAsED: Evaluating the Quality of Metagenomic Assemblies
AUTHORS: Olga Mineeva, Mateo Rojas-Carulla, Ruth E Ley, Bernhard Schölkopf and Nicholas D Youngblut
PUBLISHED: Bioinformatics. 2020 May 1;36(10):3011-3017
VIBE: Video Inference for Human Body Pose and Shape Estimation
AUTHORS: Muhammed Kocabas, Nikos Athanasiou, Michael J. Black
PUBLISHED: Proceedings IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2020
Mixed-curvature Variational Autoencoders
AUTHORS: Ondrej Skopek, Octavian-Eugen Ganea and Gary Becigneul
PUBLISHED: 8th International Conference on Learning Representations (ICLR) 2020
Chained Representation Cycling: Learning to Estimate 3D Human Pose and Shape by Cycling Between Representations
AUTHORS: Nadine Rueegg, Christoph Lassner, Michael J. Black and Konrad Schindler
PUBLISHED: 34th AAAI Conference on Artificial Intelligence (AAAI-20)
Learning Unsupervised Hierarchical Part Decomposition of 3D Objects from a Single RGB Image
AUTHORS: Despoina Paschalidou, Luc van Gool and Andreas Geiger
PUBLISHED: Proceedings IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2020
Model-Agnostic Counterfactual Explanations for Consequential Decisions
AUTHORS: Amir-Hossein Karimi, Gilles Barthe, Borja Balle, Isabel Valera
PUBLISHED: Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics (AISTATS) (accepted)
Disentangling factors of variation using few labels
AUTHORS: Francesco Locatello, Michael Tschannen, Stefan Bauer, Gunnar Rätsch, Bernhard Schölkopf, Olivier Bachem
PUBLISHED: 8th International Conference on Learning Representations (ICLR) 2020
A Continuous-time Perspective for Modeling Acceleration in Riemannian Optimization
AUTHORS: Foivos Alimisis, Antonio Orvieto, Gary Bécigneul, Aurelien Lucchi
PUBLISHED: Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics (AISTATS) (accepted)
A Real-Robot Dataset for Assessing Transferability of Learned Dynamics Models
AUTHORS: 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
PUBLISHED: IEEE International Conference on Robotics and Automation (ICRA) (accepted)
Microswimmers for Targeted Cell and Drug Delivery
AUTHORS: Immihan Ceren Yasa
PUBLISHED: Doctoral Thesis, ETH Zurich
Inferring the trial-by-trial structure of pitch reinforcement learning in songbirds
AUTHORS: Anja Zai
PUBLISHED: Doctoral Thesis, ETH Zurich
On the Foundations of Robotic Use-wear Analysis: Improving Archaeological Methods for Artefact Characterization with Robotics Technology
AUTHORS: Johannes Pfleging
PUBLISHED: Doctoral Thesis, ETH Zurich
Provable Non-Convex Optimization and Algorithm Validation via Submodularity
AUTHORS: An Bian
PUBLISHED: Doctoral Thesis, ETH Zurich
Safe Exploration in Reinforcement Learning: Theory and Applications in Robotics
AUTHORS: Felix Berkenkamp
PUBLISHED: Doctoral Thesis, ETH Zurich
Modeling the visual world: reconstruction and neural episodic representation
AUTHORS: Nikolay Savinov
PUBLISHED: Doctoral Thesis, ETH Zurich
Intervention stability in statistics: Benefiting from causality
AUTHORS: Niklas Pfister
PUBLISHED: Doctoral Thesis, ETH Zurich
Pragmatism and Variable Transformations in Causal Modelling
AUTHORS: Sebastian Weichwald
PUBLISHED: Doctoral Thesis, ETH Zurich
Unpaired Pose Guided Human Image Generation
AUTHORS: Xu Chen, Jie Song and Otmar Hilliges
PUBLISHED: The IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops 2019
Monocular Neural Image Based Rendering with Continuous View Control
AUTHORS: Xu Chen*, Jie Song* and Otmar Hilliges (*These two authors contributed equally to this work)
PUBLISHED: International Conference on Computer Vision (ICCV) 2019
Safe Exploration for Interactive Machine Learning
AUTHORS: Matteo Turchetta, Felix Berkenkamp and Andreas Krause
PUBLISHED: Advances in Neural Information Processing Systems 32 (NIPS 2019)
Robust Model-free Reinforcement Learning with Multi-objective Bayesian Optimization
AUTHORS: Matteo Turchetta, Andreas Krause and Sebastian Trimpe
PUBLISHED: Preprint https://las.inf.ethz.ch/files/turchetta20mobo.pdf
Mixed-Variable Bayesian Optimization
AUTHORS: Erik Daxberger and Anastasia Makarova and Matteo Turchetta and Andreas Krause}
PUBLISHED: Preprint https://arxiv.org/pdf/1907.01329.pdf
Fast Gaussian Process Based Gradient Matching for Parameter Identification in Systems of Nonlinear ODEs
AUTHORS: Philippe Wenk, Alkis Gotovos, Stefan Bauer, Nico S. Gorbach, Andreas Krause, Joachim M. Buhmann
PUBLISHED: Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics (AISTATS)
Expressive Body Capture: 3D Hands, Face, and Body from a Single Image
AUTHORS: Georgios Pavlakos*, Vasileios Choutas*, Nima Ghorbani, Timo Bolkart, Ahmed A. A. Osman, Dimitrios Tzionas, and Michael J. Black (*authors contributed equally)
PUBLISHED: Proceedings IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2019
Resolving 3D Human Pose Ambiguities with 3D Scene Constraints
AUTHORS: Mohamed Hassan, Vasileios Choutas, Dimitrios Tzionas and Michael J. Black
PUBLISHED: International Conference on Computer Vision (ICCV) 2019
Superquadrics Revisited: Learning 3D Shape Parsing beyond Cuboids
AUTHORS: Despoina Paschalidou, Ali Osman Ulusoy and Andreas Geiger
PUBLISHED: Proceedings IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2019
Stochastic Frank-Wolfe for Composite Convex Minimization
AUTHORS: Francesco Locatello, Alp Yurtsever, Olivier Fercoq, Volkan Cevher
PUBLISHED: Advances in Neural Information Processing Systems 32 (NIPS 2019)
Convolutional neural networks: A magic bullet for gravitational-wave detection?
AUTHORS: Timothy D. Gebhard, Niki Kilbertus, Ian Harry, and Bernhard Schölkopf
PUBLISHED: Physical Review D
Poincaré GloVe: Hyperbolic Word Embeddings
AUTHORS: Alexandru Tifrea, Gary Becigneul, Octavian-Eugen Ganea
PUBLISHED: 7th International Conference on Learning Representations (ICLR)
Breaking the Softmax Bottleneck via Learnable Monotonic Pointwise Non-linearities
AUTHORS: Octavian-Eugen Ganea, Sylvain Gelly, Gary Bécigneul, Aliaksei Severyn
PUBLISHED: Proceedings of the 36th International Conference on Machine Learning (ICML)
Stochastic Conditional Gradient Method for Composite Convex Minimization
AUTHORS: Francesco Locatello, Alp Yurtsever, Olivier Fercoq, Volkan Cevher
PUBLISHED: NeurIPS 2019
Are Disentangled Representations Helpful for Abstract Visual Reasoning?
AUTHORS: Sjoerd van Steenkiste, Francesco Locatello, Jürgen Schmidhuber, Olivier Bachem
PUBLISHED: Advances in Neural Information Processing Systems 32 (NIPS 2019)
On the Fairness of Disentangled Representations
AUTHORS: Francesco Locatello, Gabriele Abbati, Tom Rainforth, Stefan Bauer, Bernhard Schölkopf, Olivier Bachem
PUBLISHED: Advances in Neural Information Processing Systems 32 (NIPS 2019)
On the Transfer of Inductive Bias from Simulation to the Real World: a New Disentanglement Dataset
AUTHORS: Muhammad Waleed Gondal, Manuel Wüthrich, Dorde Miladinovic, Francesco Locatello, Martin Breidt, Valentin Volchkov, Joel Akpo, Olivier Bachem, Bernhard Schölkopf, Stefan Bauer
PUBLISHED: Advances in Neural Information Processing Systems 32 (NIPS 2019)
The incomplete rosetta stone problem: Identifiability results for multi-view nonlinear ica
AUTHORS: Luigi Gresele, Paul K Rubenstein, Arash Mehrjou, Francesco Locatello, Bernhard Schölkopf
PUBLISHED: Proceedings of the 35th Conference on Uncertainty in Artificial Intelligence, 2019
Challenging Common Assumptions in the Unsupervised Learning of Disentangled Representations
AUTHORS: Francesco Locatello, Stefan Bauer, Mario Lucic, Gunnar Rätsch, Sylvain Gelly, Bernhard Schölkopf, Olivier Bachem
PUBLISHED: Proceedings of the 36th International Conference on Machine Learning (ICML)
SOM-VAE: Interpretable Discrete Representation Learning on Time Series
AUTHORS: Vincent Fortuin, Matthias Hüser, Francesco Locatello, Heiko Strathmann, Gunnar Rätsch
PUBLISHED: 7th International Conference on Learning Representations (ICLR)
PointFlowNet: Learning Representations for Rigid Motion Estimation from Point Clouds
AUTHORS: Aseem Behl, Despoina Paschalidou, Simon Donne and Andreas Geiger
PUBLISHED: Proceedings IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2019
Riemannian Adaptive Optimization Methods
AUTHORS: Gary Becigneul and Octavian-Eugen Ganea
PUBLISHED: 7th International Conference on Learning Representations (ICLR)
AReS and MaRS Adversarial and MMD-Minimizing Regression for SDEs
AUTHORS: Gabriele Abbati, Philippe Wenk, Michael A. Osborne, Andreas Krause, Bernhard Schölkopf and Stefan Bauer
PUBLISHED: Proceedings of the 36th International Conference on Machine Learning (ICML)
Computational Causality and Learning from Partitioned Data
AUTHORS: Christina Heinze-Deml
PUBLISHED: Doctoral Thesis, ETH Zurich
Sampling for Large-Scale Clustering
AUTHORS: Olivier Bachem
PUBLISHED: Doctoral Thesis, ETH Zurich
A Flexible Needle with Fluoroscopic Imaging and Magnetic Steering for Neurosurgical Applications
AUTHORS: Ayoung Hong
PUBLISHED: Doctoral Thesis, ETH Zurich
Reinforced Imitation: Sample Efficient Deep Reinforcement Learning for Map-less Navigation by Leveraging Prior Demonstrations
AUTHORS: Mark Pfeiffer, Samarth Shukla, Matteo Turchetta, Cesar Cadena, Andreas Krause, Roland Siegwart and Juan Nieto
PUBLISHED: IEEE Robotics and Automation Letters (Volume: 3, Issue: 4, Oct. 2018)
Adaptive Skip Intervals: Temporal Abstraction for Recurrent Dynamical Models
AUTHORS: Alexander Neitz, Giambattista Parascandolo, Stefan Bauer and Bernhard Schölkopf
PUBLISHED: Advances in Neural Information Processing Systems 31 (NIPS 2018)
Generalization in anti-causal learning
AUTHORS: Niki Kilbertus, Giambattista Parascandolo and Bernhard Schölkopf
PUBLISHED: NeurIPS 2018 Workshop on Critiquing and Correcting Trends in Machine Learning
Softness, Warmth, and Responsiveness Improve Robot Hugs
AUTHORS: Alexis E. Block and Katherine J. Kuchenbecker
PUBLISHED: International Journal of Social Robotics
Uncertainty in Robotics - Tractable Inference and Policy Optimization
AUTHORS: Manuel Wüthrich
PUBLISHED: Doctoral Thesis, ETH Zürich
Hyperbolic Entailment Cones for Learning Hierarchical Embeddings
AUTHORS: Octavian-Eugen Ganea, Gary Bécigneul, Thomas Hofmann
PUBLISHED: International Conference on Machine Learning (ICML) 2018
Large-scale Supervised Learning for 3D Point Cloud Labeling: Semantic3D.net
AUTHORS: Timo Hackel, Jan D. Wegner, Nikolay Savinov, Lubor Ladicky, Konrad Schindler, Marc Pollefeys
PUBLISHED: Photogrammetric Engineering and Remote Sensing
Gait learning for soft microrobots controlled by light fields
AUTHORS: Alexande von Rohr, Sebastian Trimpe, Alonso Marco, Peer Fischer, Stefano Palagi
PUBLISHED: Proceeding of the International Conference on Intelligent Robots and Systems
Small-scale soft-bodied robot with multimodal locomotion
AUTHORS: Wenqi Hu, Guo Zhan Lum, Massimo Mastrangeli, Metin Sitti
PUBLISHED: Nature
Hyperbolic Neural Networks
AUTHORS: Octavian-Eugen Ganea, Gary Bécigneul, Thomas Hofmann
PUBLISHED: Neural Information Processing Systems
3D-Printed Biodegradable Microswimmer for Drug Delivery and Targeted Cell Labeling
AUTHORS: Ceylan, H., Yasa, I. C., Yasa, O., Tabak, A. F., Giltinan, J., & Sitti, M.
PUBLISHED: Preprint bioRxiv 379024
Advanced Localization and Mapping Techniques for Endoscopic Capsule Robots
AUTHORS: Mehmet Turan
PUBLISHED: Doctoral Thesis, ETH Zurich
Optimal DR-Submodular Maximization and Applications to Provable Mean Field Inference
AUTHORS: An Bian, Joachim M. Buhmann, Andreas Krause
PUBLISHED: Preprint arXiv:1805.07482
Learning a Structured Neural Network Policy for a Hopping Task
AUTHORS: Julian Viereck, Jules Kozolinsky, Alexander Herzog, Ludovic Righetti
PUBLISHED: IEEE Robotics and Automation Letters
Boosting Black Box Variational Inference
AUTHORS: Francesco Locatello*, Gideon Dresdner*, Rajiv Khanna, Isabel Valera, Gunnar Rätsch; *shared first authorship
PUBLISHED: Advances in Neural Information Processing Systems 31 (NIPS 2018)
Kinetics of 2D-constrained orbitally-shaken particles
AUTHORS: Dhananjay Ipparthi, Tijmen A. G. Hageman, Nicolas Cambier, Metin Sitti, Marco Dorigo, Leon Abelmann, Massimo Mastrangeli
PUBLISHED: Physical Review E
Systematic self-exploration of behaviors for robots in a dynamical systems framework
AUTHORS: Cristina Pinneri, Georg Martius
PUBLISHED: Conference on Artificial Life
Deep Self-Organization: Interpretable Discrete Representation Learning on Time Series
AUTHORS: Vincent Fortuin, Matthias Hüser, Francesco Locatello, Heiko Strathmann, Gunnar Rätsch
PUBLISHED: Preprint arXiv:1806.02199
On Matching Pursuit and Coordinate Descent
AUTHORS: Francesco Locatello*, Anant Raj*, Sai Praneeth Karimireddy, Gunnar Rätsch, Bernhard Schölkopf, Sebastian U. Stich, Martin Jaggi; * shared first authorship
PUBLISHED: Proceedings of Machine Learning Research
Self-Folded Hydrogel Tubes for Implantable Muscular Tissue Scaffolds
AUTHORS: Lorenzo Vannozzi, Immihan Ceren Yasa, Hakan Ceylan, Arianna Menciassi, Leonardo Ricotti, Metin Sitti
PUBLISHED: Macromolecular Bioscience
Learning-based Model Predictive Control for Safe Exploration and Reinforcement Learning
AUTHORS: Torsten Koller, Felix Berkenkamp, Matteo Turchetta, Andreas Krause
PUBLISHED: Proceedings of the IEEE Conference on Decision and Control (CDC) 2018
Self-Sensing Paper Actuators Based on Graphite-Carbon Nanotube Hybrid Films
AUTHORS: Morteza Amjadi, Metin Sitti
PUBLISHED: Advanced Science
Magnetic-Visual Sensor Fusion-based Dense 3D Reconstruction and Localization for Endoscopic Capsule Robots
AUTHORS: Mehmet Turan, Yasin Almalioglu, Evin Pinar Ornek, Helder Araujo, Mehmet Fatih Yanik, Metin Sitti
PUBLISHED: IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
Unsupervised Odometry and Depth Learning for Endoscopic Capsule Robots
AUTHORS: Mehmet Turan, Evin Pinar Ornek, Nail Ibrahimli, Can Giracoglu, Yasin Almalioglu, Mehmet Fatih Yanik, Metin Sitti
PUBLISHED: IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
Tempered Adversarial Networks
AUTHORS: Mehdi S.M. Sajjadi, Giambattista Parascandolo, Arash Mehrjou, Bernhard Schölkopf
PUBLISHED: Proceedings of the 35th International Conference on Machine Learning (ICML) 2018
Sensing Paper Actuators Based on Graphite-Carbon Nanotube Hybrid Films
AUTHORS: Morteza Amjadi and Metin Sitti
PUBLISHED: Advanced Science
Emotionally Supporting Humans Through Robot Hugs
AUTHORS: Alexis E. Block and Katherine J. Kuchenbecker
PUBLISHED: Companion Proceedings of the ACM/IEEE International Conference on Human-Robot Interaction (HRI)
Learning Independent Causal Mechanisms
AUTHORS: Giambattista Parascandolo, Niki Kilbertus, Mateo Rojas-Carulla, Bernhard Schölkopf
PUBLISHED: Proceedings of the 35th International Conference on Machine Learning (ICML) 2018
A Conditional Gradient Framework for Composite Convex Minimization with Applications to SDP
AUTHORS: Alp Yurtsever, Olivier Fercoq, Francesco Locatello, Volkan Cevher
PUBLISHED: Proceedings of the 35th International Conference on Machine Learning (ICML) 2018
RayNet: Learning Volumetric 3D Reconstruction with Ray Potentials
AUTHORS: Despoina Paschalidou, Ali Osman Ulusoy, Carolin Schmitt, Luc van Gool, Andreas Geiger
PUBLISHED: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
Boosting Variational Inference: an Optimization Perspective
AUTHORS: Francesco Locatello, Rajiv Khanna, Joydeep Ghosh, Gunnar Rätsch
PUBLISHED: Proceedings of the 21st International Conference on Artificial Intelligence and Statistics (AISTATS) 2018, Lanzarote, Spain. PMLR: Volume 84.
Recent Advances in Wearable Transdermal Delivery Systems
AUTHORS: Morteza Amjadi, Sahar Sheykhansari, Bradley J. Nelson, Metin Sitti
PUBLISHED: Advanced Materials
Learning Independent Causal Mechanisms
AUTHORS: Giambattista Parascandolo, Mateo Rojas-Carulla, Niki Kilbertus and Bernhard Schölkopf
PUBLISHED: Workshop on Learning Disentangled Representations: from Perception to Control, 31st Conference on Neural Information Processing Systems (NIPS 2017)
Real-Time Motion Planning of Legged Robots: A Model Predictive Control Approach
AUTHORS: Farbod Farshidian, Edo Jelavic, Asutosh Satapathy, Markus Giftthaler, Jonas Buchli
PUBLISHED: IEEE-RAS 17th International Conference on Humanoid Robotics (Humanoids)
Robust Whole-Body Motion Control of Legged Robots
AUTHORS: Farbod Farshidian, Edo Jelavic, Alexander W. Winkler, Jonas Buchli
PUBLISHED: IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
Scalable Pneumatic and Tendon Driven Robotic Joint Inspired by Jumping Spiders
AUTHORS: Alexander Spröwitz, Chantal Göttler, Ayush Sinha, Corentin Caer, Mehmet Ugur Öoztekin, Kirstin Petersen, Metin Sitti
PUBLISHED: IEEE International Conference on Robotics and Automation (ICRA)
Distributed Event-based State Estimation
AUTHORS: Sebastian Trimpe
PUBLISHED: Preprint arXiv:1511.05223
Parallel Coordinate Descent Newton Method for Efficient L1-Regularized Loss Minimization
AUTHORS: An Bian, Xiong Li, Yuncai Liu, Ming-Hsuan Yang
PUBLISHED: Preprint arXiv:1306.4080
Guarantees for Greedy Maximization of Non-submodular Functions with Applications
AUTHORS: Andrew An Bian, Joachim M. Buhmann, Andreas Krause, Sebastian Tschiatschek
PUBLISHED: Preprint arXiv:1703.02100
Estimation-Based Control of a Magnetic Endoscope without Device Localization
AUTHORS: Janis Edelmann, Andrew J. Petruska, Bradley J. Nelson
PUBLISHED: Journal of Medical Robotics Research
Yield prediction in parallel homogeneous assembly
AUTHORS: Dhananjay Ipparthi, Andrew Winslow, Metin Sitti, Marco Dorigo, Massimo Mastrangeli
PUBLISHED: Soft Matter
Event-based state estimation: an emulation-based approach
AUTHORS: Sebastian Trimpe
PUBLISHED: Institution of Engineering and Technology Control Theory & Applications
Semantic Video CNNs through Representation Warping
AUTHORS: Raghudeep Gadde, Varun Jampani, Peter V. Gehler
PUBLISHED: International Conference on Computer Vision (ICCV)
Self-Assembly of Micro/Nanosystems across Scales and Interfaces
AUTHORS: Massimo Mastrangeli
PUBLISHED: International Conference on Solid-State Sensors, Actuators and Microsystems (TRANSDUCERS)
On the Design of LQR Kernels for Efficient Controller Learning
AUTHORS: Alonso Marco, Philipp Hennig, Stefan Schaal, Sebastian Trimpe
PUBLISHED: IEEE Conference on Decision and Control
Optical Flow in Mostly Rigid Scenes
AUTHORS: Jonas Wulff, Laura Sevilla-Lara, Michael J. Black
PUBLISHED: IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
Momentum-Centered Control of Contact Interactions
AUTHORS: Ludovic Righetti, Alexander Herzog
PUBLISHED: Geometric and Numerical Foundations of Movements
On the effect of pooling on the geometry of representations
AUTHORS: Gary Bécigneul
PUBLISHED: Preprint arXiv:1703.06726
Soft Micro-Robots for Military Medicine
AUTHORS: Hen-Wei Huang, Andrew J. Petruska, Bradley J. Nelson
PUBLISHED: HDIAC Journal
CONVWAVE: Searching for Gravitational Waves with Fully Convolutional Neural Nets
AUTHORS: Timothy Gebhard, Niki Kilbertus, Ian Harry, Giambattista Parascandolo, Bernhard Schölkopf
PUBLISHED: Neural Information Processing Systems (NIPS)
MRI-Based Surgical Planning for Lumbar Spinal Stenosis
AUTHORS: Gabriele Abbati, Stefan Bauer, Sebastian Winklhofer, Peter J. Schüffler, Ulrike Held, Jakob M. Burgstaller, Johann Steurer, Joachim M. Buhmann
PUBLISHED: Medical Image Computing and Computer-Assisted Intervention (MICCAI)
Locomotion of light-driven soft microrobots through a hydrogel via local melting
AUTHORS: Stefano Palagi, Andrew G. Mark, Kai Melde, Tian Qiu, Hao Zeng, Camilla Parmeggiani, Daniele Martella, Diederik S. Wiersma, Peer Fischer
PUBLISHED: International Conference on Manipulation, Automation and Robotics at Small Scales (MARSS)
Efficient and Flexible Inference for Stochastic Systems
AUTHORS: Stefan Bauer, Nico S. Gorbach, Djordje Miladinovic, Joachim M. Buhmann
PUBLISHED: Neural Information Processing Systems (NIPS)
Group invariance principles for causal generative models
AUTHORS: Michel Besserve, Naji Shajarisales, Bernhard Schölkopf, Dominik Janzing
PUBLISHED: Preprint arXiv:1705.02212
Sequential Linear Quadratic Optimal Control for Nonlinear Switched Systems
AUTHORS: Farbod Farshidian, Maryam Kamgarpour, Diego Pardo, Jonas Buchli
PUBLISHED: International Federation of Automatic Control (IFAC)
Model Selection for Gaussian Process Regression
AUTHORS: Nico S. Gorbach, Andrew An Bian, Benjamin Fischer, Stefan Bauer, Joachim M. Buhmann
PUBLISHED: German Conference on Pattern Recognition
Scalable Variational Inference for Dynamical Systems
AUTHORS: Nico S. Gorbach, Stefan Bauer, Joachim M. Buhmann
PUBLISHED: Neural Information Processing Systems (NIPS)
Continuous DR-submodular Maximization: Structure and Algorithms
AUTHORS: An Bian, Kfir Levy, Andreas Krause, Joachim M. Buhmann
PUBLISHED: Neural Information Processing Systems (NIPS)
Optical Flow Estimation using a Spatial Pyramid Network
AUTHORS: Anurag Ranjan, Michael J. Black
PUBLISHED: IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
Avoiding Discrimination through Causal Reasoning
AUTHORS: Niki Kilbertus, Moritz Hardt, Mateo Rojas-Carulla, Dominik Janzing, Giambattista Parascandolo, Bernhard Schölkopf
PUBLISHED: Neural Information Processing Systems (NIPS), 2017
Mobile microrobots for bioengineering applications
AUTHORS: Hakan Ceylan, Joshua Giltinan, Kristen Kozielskia, Metin Sitti
PUBLISHED: Lab Chip
Soft Actuators for Small-Scale Robotics
AUTHORS: Lindsey Hines, Kirstin Petersen, Guo Zhan Lum, Metin Sitti
PUBLISHED: Advanced Materials
3D Chemical Patterning of Micromaterials for Encoded Functionality
AUTHORS: Hakan Ceylan, Immihan Ceren Yasa, Metin Sitti*
PUBLISHED: Advanced Materials
Surface tension-driven self-alignment
AUTHORS: Massimo Mastrangeli, Quan Zhou, Veikko Sariola, Pierre Lambert
PUBLISHED: Soft Matter
A deep learning based fusion of RGB camera information and magnetic localization information for endoscopic capsule robots
AUTHORS: Mehmet Turan, Jahanzaib Shabbir, Helder Araujo, Ender Konukoglu, Metin Sitti
PUBLISHED: International Journal of Intelligent Robotics and Applications
A non-rigid map fusion-based direct SLAM method for endoscopic capsule robots
AUTHORS: Mehmet Turan, Yasin Almalioglu, Helder Araujo, Ender Konukoglu, Metin Sitti
PUBLISHED: International Journal of Intelligent Robotics and Applications
Deep EndoVO: A recurrent convolutional neural network (RCNN) based visual odometry approach for endoscopic capsule robots
AUTHORS: Mehmet Turan, Yasin Almalioglu, Helder Araujo, Ender Konukoglu, Metin Sitti
PUBLISHED: Neurocomputing
Sparse-then-dense alignment-based 3D map reconstruction method for endoscopic capsule robots
AUTHORS: Mehmet Turan, Yusuf Yigit Pilavci, Ipek Ganiyusufoglu, Helder Araujo, Ender Konukoglu, Metin Sitti
PUBLISHED: Machine Vision and Applications
Safe Model-based Reinforcement Learning with Stability Guarantees
AUTHORS: Felix Berkenkamp, Matteo Turchetta, Angela P. Schoellig, Andreas Krause
PUBLISHED: Neural Information Processing Systems (NIPS), 2017
Bioinspired Composite Microfibers for Skin Adhesion and Signal Amplification of Wearable Sensors
AUTHORS: Dirk-M. Drotlef, Morteza Amjadi, Muhammad Yunusa, Metin Sitti
PUBLISHED: Advanced Materials
Recent Advances in Skin Penetration Enhancers for Transdermal Gene and Drug Delivery
AUTHORS: Amjadi M., Mostaghaci B., Sitti M.
PUBLISHED: Current Gene Therapy
Greedy Algorithms for Cone Constrained Optimization with Convergence Guarantees
AUTHORS: Francesco Locatello, Michael Tschannen, Gunnar Raetsch, Martin Jaggi
PUBLISHED: Pre-proceedings of the Annual Conference on Neural Information Processing Systems 30 (NIPS 2017)
Optimization-based motion generation for multiped robots in contact scenarios
AUTHORS: Alexander Herzog
PUBLISHED: Doctoral Thesis, ETH Zurich
Planning and Control in Face of Uncertainty with Applications to Legged Robots
AUTHORS: Farbod Farshidian
PUBLISHED: Doctoral Thesis, ETH Zurich
Causal models for decision making via integrative inference
AUTHORS: Philipp Geiger
PUBLISHED: Doctoral Thesis, University of Stuttgart
Causal Consistency of Structural Equation Models
AUTHORS: Paul K. Rubenstein*, Sebastian Weichwald*, Stephan Bongers, Joris M. Mooij, Dominik Janzing, Moritz Grosse-Wentrup, Bernhard Schölkopf (* joint first authorship)
PUBLISHED: Proceedings of the Annual Conference on Uncertainty in Artificial Intelligence (UAI)
Guaranteed Non-convex Optimization: Submodular Maximization over Continuous Domains
AUTHORS: Andrew An Bian, Baharan Mirzasoleiman, Joachim M. Buhmann, Andreas Krause
PUBLISHED: 20th International Conference on Artificial Intelligence and Statistics (AISTATS) 2017
Nonparametric Disturbance Correction and Nonlinear Dual Control
AUTHORS: Edgar D. Klenske
PUBLISHED: Doctoral Thesis, ETH Zurich
Virtual vs. Real: Trading Off Simulations and Physical Experiments in Reinforcement Learning with Bayesian Optimization
AUTHORS: Alonso Marco, Felix Berkenkamp, Philipp Hennig, Angela P. Schoellig, Andreas Krause, Stefan Schaal, Sebastian Trimpe
PUBLISHED: IEEE International Conference on Robotics and Automation (ICRA)
A Unified Optimization View on Generalized Matching Pursuit and Frank-Wolfe
AUTHORS: Francesco Locatello, Rajiv Khanna, Michael Tschannen, Martin Jaggi
PUBLISHED: Proceedings of the 20th International Conference on Artificial Intelligence and Statistics (AISTATS) 2017, Fort Lauderdale, Florida, USA
Online Walking Motion and Contact Optimization for Quadruped Robots
AUTHORS: Alexander W. Winkler, Farbod Farshidian, Michael Neunert, Diego Pardo, Jonas Buchli
PUBLISHED: IEEE International Conference on Robotics and Automation (ICRA)
Efficient Kinematic Planning for Mobile Manipulators with Non-holonomic Constraints Using Optimal Control
AUTHORS: Markus Giftthaler, Farbod Farshidian, Timothy Sandy, Lukas Stadelmann, Jonas Buchli
PUBLISHED: IEEE International Conference on Robotics and Automation (ICRA)
An Efficient Optimal Planning and Control Framework For Quadrupedal Locomotion
AUTHORS: Farbod Farshidian, Michael Neunert, Alexander W. Winkler, Gonzalo Rey, Jonas Buchli
PUBLISHED: IEEE International Conference on Robotics and Automation (ICRA)
Modeling confounding by half-sibling regression
AUTHORS: Bernhard Schölkopf, David W. Hogg, Dun Wang, Daniel Foreman-Mackey, Dominik Janzing, Carl-Johann Simon-Gabriel, Jonas Peters
PUBLISHED: Proceedings of the National Academy of Sciences of the United States of America (PNAS)
Predictive and self triggering for event-based state estimation
AUTHORS: Sebastian Trimpe
PUBLISHED: IEEE 55th Conference on Decision and Control (CDC)
A Convex Model of Humanoid Momentum Dynamics for Multi-Contact Motion Generation
AUTHORS: Brahayam Ponton, Alexander Herzog, Stefan Schaal, Ludovic Righetti
PUBLISHED: Preprint arXiv:1607.08644
Communication Rate Analysis for Event-based State Estimation
AUTHORS: Simon Ebner, Sebastian Trimpe
PUBLISHED: Proceedings of the 13th International Workshop on Discrete Event
Automatic LQR tuning based on Gaussian process global optimization
AUTHORS: Alonso Marco, Philipp Hennig, Jeannette Bohg, Stefan Schaal, Sebastian Trimpe
PUBLISHED: IEEE International Conference on Robotics and Automation (ICRA)
A new perspective and extension of the Gaussian Filter
AUTHORS: Manuel Wüthrich, Sebastian Trimpe, Cristina Garcia Cifuentes, Daniel Kappler, Stefan Schaal
PUBLISHED: International Journal of Robotics Research
Information-Theoretic Analysis of MaxCut Algorithms
AUTHORS: An Bian, Alexey Gronskiy, Joachim M. Buhmann
PUBLISHED: Information Theory and Applications
The Role of Measurement Uncertainty in Optimal Control for Contact Interactions
AUTHORS: Brahayam Ponton, Stefan Schaal, Ludovic Righetti
PUBLISHED: The 12th International Workshop on the Algorithmic Foundations of Robotics (WAFR)
Model Selection for Gaussian Process Regression by Approximation Set Coding
AUTHORS: Benjamin Fischer, Nico Gorbach, Stefan Bauer, Yatao Bian, Joachim M. Buhmann
PUBLISHED: Preprint arXiv:1610.00907
Multi-Organ Cancer Classification and Survival Analysis
AUTHORS: Stefan Bauer, Nicolas Carion, Peter Schüffler, Thomas Fuchs, Peter Wild, Joachim M. Buhmann
PUBLISHED: Neural Information Processing Systems (NIPS)
Stretchable, Skin-Mountable, and Wearable Strain Sensors and Their Potential Applications: A Review
AUTHORS: Morteza Amjadi, Ki-Uk Kyung, Inkyu Park*, Metin Sitti*
PUBLISHED: Advanced Functional Materials
Causal inference in semiparametric and nonparametric structural equation models
AUTHORS: Jan Ernest
PUBLISHED: Doctoral Thesis, ETH Zurich
Nonparametric causal inference from observational time series through marginal integration
AUTHORS: Shu Li, Jan Ernest, Peter Bühlmann
PUBLISHED: Methodology (stat.ME)
Causal inference in partially linear structural equation models
AUTHORS: Jan Ernest, Dominik Rothenhäusler, Peter Bühlmann
PUBLISHED: Preprint arXiv:1607.05980
Safe Exploration in Finite Markov Decision Processes with Gaussian Processes
AUTHORS: Matteo Turchetta, Felix Berkenkamp, Andreas Krause
PUBLISHED: 29th Conference on Neural Information Processing Systems (NIPS 2016), Barcelona, Spain
Structured contact force optimization for kino-dynamic motion generation
AUTHORS: Alexander Herzog, Stefan Schaal, Ludovic Righetti
PUBLISHED: International Conference on Intelligent Robots and Systems (IROS) 2016
Step Timing Adjustment: A Step toward Generating Robust Gaits
AUTHORS: Majid Khadiv, Alexander Herzog, S. Ali. A. Moosavian, and Ludovic Righetti
PUBLISHED: Proceedings of the 2016 IEEE-RAS International Conference on Humanoid Robots
Stepping Stabilization Using a Combination of DCM Tracking and Step Adjustment
AUTHORS: Majid Khadiv, Sebastien Kleff, Alexander Herzog, S. Ali. A. Moosavian, Stefan Schaal, and Ludovic Righetti
PUBLISHED: 4th RSI International Conference on Robotics and Mechatronics
Soft continuous microrobots with multiple intrinsic degrees of freedom
AUTHORS: Stefano Palagi, Andrew G. Mark, Kai Melde, Hao Zeng, Camilla Parmeggiani, Daniele Martella, Diederik S. Wiersma, Peer Fischer
PUBLISHED: IEEE Xplore
Structured light enables biomimetic swimming and versatile locomotion of photoresponsive soft microrobots
AUTHORS: 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
PUBLISHED: Nature Materials
Approximate dual control maintaining the value of information with an application to building control
AUTHORS: Edgar D. Klenske, Philipp Hennig, Bernhard Scholkopf and Melanie N. Zeilinger
PUBLISHED: European Control Conference (ECC)
Efficient whole-body trajectory optimization using contact constraint relaxation
AUTHORS: Michael Neunert, Farbod Farshidian, Jonas Buchli
PUBLISHED: 2016 IEEE-RAS 16th International Conference on Humanoid Robots (Humanoids)
High-Performance Multiresponsive Paper Actuators
AUTHORS: Morteza Amjadi and Metin Sitti
PUBLISHED: ACS Nano
Gaussian Process-Based Predictive Control for Periodic Error Correction
AUTHORS: Edgar D. Klenske, Melanie N. Zeilinger, Bernhard Schölkopf, Philipp Hennig
PUBLISHED: IEEE Transactions on Control Systems Technology
Inflated Soft Actuators with Reversible Stable Deformations
AUTHORS: Lindsey Hines, Kirstin Petersen, Metin Sitti
PUBLISHED: Advanced Materials
The Arrow of Time in Multivariate Time Series
AUTHORS: Stefan Bauer, Bernhard Schölkopf, Jonas Peters
PUBLISHED: arXiv:1603.00784
Risk Sensitive, Nonlinear Optimal Control: Iterative Linear Exponential-Quadratic Optimal Control with Gaussian Noise
AUTHORS: Farbod Farshidian and Jonas Buchli
PUBLISHED: Preprint arXiv:1512.07173
Event-based Estimation and Control for Remote Robot Operation with Reduced Communication
AUTHORS: Sebastian Trimpe, Jonas Buchli
PUBLISHED: 2015 IEEE International Conference on Robotics and Automation (ICRA)
Backshift: Learning causal cyclic graphs from unknown shift interventions
AUTHORS: Dominik Rothenhäusler, Christina Heinze, Jonas Peters, Nicolai Meinshausen
PUBLISHED: Proceedings of the 29th Annual Conference on Neural Information Processing Systems (NIPS 2015)
Causal inference using invariant prediction: identification and confidence intervals
AUTHORS: Jonas Peters, Peter Bühlmann, Nicolai Meinshausen
PUBLISHED: arXiv:1501.01332