Stefan Bauer

ORCID

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 143

Top Venues

Publications

Tarun Gupta, Wenbo Gong, Chao Ma, Nick Pawlowski, Agrin Hilmkil, Meyer Scetbon, Ade Famoti, Ashley Juan Llorens, Jianfeng Gao, Stefan Bauer, Danica Kragic, Bernhard Schölkopf, Cheng Zhang
The Essential Role of Causality in Foundation World Models for Embodied AI. CoRR (2024)
Ricardo Vinuesa, Jean Rabault, Hossein Azizpour, Stefan Bauer, Bingni W. Brunton, Arne Elofsson, Elias Jarlebring, Hedvig Kjellström, Stefano Markidis, David Marlevi, Paola Cinnella, Steven L. Brunton
Opportunities for machine learning in scientific discovery. CoRR (2024)
Yashas Annadani, Panagiotis Tigas, Stefan Bauer, Adam Foster
Amortized Active Causal Induction with Deep Reinforcement Learning. CoRR (2024)
Amir Mohammad Karimi-Mamaghan, Panagiotis Tigas, Karl Henrik Johansson, Yarin Gal, Yashas Annadani, Stefan Bauer
Challenges and Considerations in the Evaluation of Bayesian Causal Discovery. CoRR (2024)
Ye Wei, Bo Peng, Ruiwen Xie, Yangtao Chen, Yu Qin, Peng Wen, Stefan Bauer, Po-Yen Tung
Derivative-free tree optimization for complex systems. CoRR (2024)
Amir Mohammad Karimi-Mamaghan, Samuele Papa, Karl Henrik Johansson, Stefan Bauer, Andrea Dittadi
Exploring the Effectiveness of Object-Centric Representations in Visual Question Answering: Comparative Insights with Foundation Models. CoRR (2024)
Michela Beretta, Nikolaus Obwegeser, Stefan Bauer
An Exploration of Hackathons as Time Intense and Collaborative Forms of Crowdsourcing. IEEE Trans. Engineering Management 71 (2024)
Amir Mohammad Karimi-Mamaghan, Andrea Dittadi, Stefan Bauer, Karl Henrik Johansson, Francesco Quinzan
Diffusion-Based Causal Representation Learning. Entropy 26 (7) (2024)
Yashas Annadani, Nick Pawlowski, Joel Jennings, Stefan Bauer, Cheng Zhang, Wenbo Gong
BayesDAG: Gradient-Based Posterior Inference for Causal Discovery. NeurIPS (2023)
Alejandro Tejada-Lapuerta, Paul Bertin, Stefan Bauer, Hananeh Aliee, Yoshua Bengio, Fabian J. Theis
Causal machine learning for single-cell genomics. CoRR (2023)
Francesco Quinzan, Ashkan Soleymani, Patrick Jaillet, Cristian R. Rojas, Stefan Bauer
DRCFS: Doubly Robust Causal Feature Selection. ICML (2023)
Chris Chinenye Emezue, Alexandre Drouin, Tristan Deleu, Stefan Bauer, Yoshua Bengio
Benchmarking Bayesian Causal Discovery Methods for Downstream Treatment Effect Estimation. CoRR (2023)
Arash Mehrjou, Ashkan Soleymani, Amin Abyaneh, Samir Bhatt, Bernhard Schölkopf, Stefan Bauer
Pyfectious: An individual-level simulator to discover optimal containment policies for epidemic diseases. PLoS Comput. Biol. 19 (1) (2023)
Clare Lyle, Arash Mehrjou, Pascal Notin, Andrew Jesson, Stefan Bauer, Yarin Gal, Patrick Schwab
DiscoBAX: Discovery of Optimal Intervention Sets in Genomic Experiment Design. CoRR (2023)
Felix Leeb, Giulia Lanzillotta, Yashas Annadani, Michel Besserve, Stefan Bauer, Bernhard Schölkopf
Structure by Architecture: Structured Representations without Regularization. ICLR (2023)
Amir Mohammad Karimi-Mamaghan, Andrea Dittadi, Stefan Bauer, Karl Henrik Johansson, Francesco Quinzan
Diffusion Based Causal Representation Learning. CoRR (2023)
Nico Gürtler, Sebastian Blaes, Pavel Kolev, Felix Widmaier, Manuel Wüthrich, Stefan Bauer, Bernhard Schölkopf, Georg Martius
Benchmarking Offline Reinforcement Learning on Real-Robot Hardware. CoRR (2023)
Yashas Annadani, Nick Pawlowski, Joel Jennings, Stefan Bauer, Cheng Zhang, Wenbo Gong
BayesDAG: Gradient-Based Posterior Sampling for Causal Discovery. CoRR (2023)
Nico Gürtler, Felix Widmaier, Cansu Sancaktar, Sebastian Blaes, Pavel Kolev, Stefan Bauer, Manuel Wüthrich, Markus Wulfmeier, Martin A. Riedmiller, Arthur Allshire, Qiang Wang, Robert McCarthy, Hangyeol Kim, Jongchan Baek Pohang, Wookyong Kwon, Shanliang Qian, Yasunori Toshimitsu, Mike Yan Michelis, Amirhossein Kazemipour, Arman Raayatsanati, Hehui Zheng, Barnabas Gavin Cangan, Bernhard Schölkopf, Georg Martius
Real Robot Challenge 2022: Learning Dexterous Manipulation from Offline Data in the Real World. CoRR (2023)
R. Patrick Xian, Vincent Stimper, Marios Zacharias, Maciej Dendzik, Shuo Dong, Samuel Beaulieu, Bernhard Schölkopf, Martin Wolf, Laurenz Rettig, Christian Carbogno, Stefan Bauer, Ralph Ernstorfer
A machine learning route between band mapping and band structure. Nat. Comput. Sci. 3 (1) (2023)
Panagiotis Tigas, Yashas Annadani, Desi R. Ivanova, Andrew Jesson, Yarin Gal, Adam Foster, Stefan Bauer
Differentiable Multi-Target Causal Bayesian Experimental Design. ICML (2023)
Qiang Wang, Francisco Roldan Sanchez, Robert McCarthy, David Cordova Bulens, Kevin McGuinness, Noel E. O'Connor, Manuel Wüthrich, Felix Widmaier, Stefan Bauer, Stephen J. Redmond
Dexterous robotic manipulation using deep reinforcement learning and knowledge transfer for complex sparse reward-based tasks. Expert Syst. J. Knowl. Eng. 40 (6) (2023)
Nan Rosemary Ke, Olexa Bilaniuk, Anirudh Goyal, Stefan Bauer, Hugo Larochelle, Bernhard Schölkopf, Michael Curtis Mozer, Christopher Pal, Yoshua Bengio
Neural Causal Structure Discovery from Interventions. Trans. Mach. Learn. Res. 2023 (2023)
Nico Gürtler, Sebastian Blaes, Pavel Kolev, Felix Widmaier, Manuel Wuthrich, Stefan Bauer, Bernhard Schölkopf, Georg Martius
Benchmarking Offline Reinforcement Learning on Real-Robot Hardware. ICLR (2023)
Emmanouil Angelis, Francesco Quinzan, Ashkan Soleymani, Patrick Jaillet, Stefan Bauer
Doubly Robust Structure Identification from Temporal Data. CoRR (2023)
Cheng Zhang, Stefan Bauer, Paul Bennett, Jiangfeng Gao, Wenbo Gong, Agrin Hilmkil, Joel Jennings, Chao Ma, Tom Minka, Nick Pawlowski, James Vaughan
Understanding Causality with Large Language Models: Feasibility and Opportunities. CoRR (2023)
Mateusz Olko, Michal Zajac, Aleksandra Nowak, Nino Scherrer, Yashas Annadani, Stefan Bauer, Lukasz Kucinski, Piotr Milos
Trust Your 𝛁: Gradient-based Intervention Targeting for Causal Discovery. NeurIPS (2023)
Clare Lyle, Arash Mehrjou, Pascal Notin, Andrew Jesson, Stefan Bauer, Yarin Gal, Patrick Schwab
DiscoBAX: Discovery of optimal intervention sets in genomic experiment design. ICML (2023)
Sarthak Mittal, Korbinian Abstreiter, Stefan Bauer, Bernhard Schölkopf, Arash Mehrjou
Diffusion Based Representation Learning. ICML (2023)
Yashas Annadani, Panagiotis Tigas, Desi R. Ivanova, Andrew Jesson, Yarin Gal, Adam Foster, Stefan Bauer
Differentiable Multi-Target Causal Bayesian Experimental Design. CoRR (2023)
Francesco Quinzan, Ashkan Soleymani, Patrick Jaillet, Cristian R. Rojas, Stefan Bauer
DRCFS: Doubly Robust Causal Feature Selection. CoRR (2023)
Ashkan Soleymani, Anant Raj, Stefan Bauer, Bernhard Schölkopf, Michel Besserve
Causal Feature Selection via Orthogonal Search. Trans. Mach. Learn. Res. 2022 (2022)
Panagiotis Tigas, Yashas Annadani, Andrew Jesson, Bernhard Schölkopf, Yarin Gal, Stefan Bauer
Interventions, Where and How? Experimental Design for Causal Models at Scale. NeurIPS (2022)
Nino Scherrer, Anirudh Goyal, Stefan Bauer, Yoshua Bengio, Nan Rosemary Ke
On the Generalization and Adaption Performance of Causal Models. CoRR (2022)
Mathieu Chevalley, Charlotte Bunne, Andreas Krause, Stefan Bauer
Invariant Causal Mechanisms through Distribution Matching. CoRR (2022)
Jithendaraa Subramanian, Yashas Annadani, Ivaxi Sheth, Stefan Bauer, Derek Nowrouzezahrai, Samira Ebrahimi Kahou
Latent Variable Models for Bayesian Causal Discovery. CoRR (2022)
Simon Bing, Andrea Dittadi, Stefan Bauer, Patrick Schwab
Conditional Generation of Medical Time Series for Extrapolation to Underrepresented Populations. CoRR (2022)
Sarthak Mittal, Guillaume Lajoie, Stefan Bauer, Arash Mehrjou
From Points to Functions: Infinite-dimensional Representations in Diffusion Models. CoRR (2022)
Mateusz Olko, Michal Zajac, Aleksandra Nowak, Nino Scherrer, Yashas Annadani, Stefan Bauer, Lukasz Kucinski, Piotr Milos
Trust Your ∇: Gradient-based Intervention Targeting for Causal Discovery. CoRR (2022)
Niklas Funk, Charles B. Schaff, Rishabh Madan, Takuma Yoneda, Julen Urain De Jesus, Joe Watson, Ethan K. Gordon, Felix Widmaier, Stefan Bauer, Siddhartha S. Srinivasa, Tapomayukh Bhattacharjee, Matthew R. Walter, Jan Peters
Benchmarking Structured Policies and Policy Optimization for Real-World Dexterous Object Manipulation. IEEE Robotics Autom. Lett. 7 (1) (2022)
Edoardo Caldarelli, Philippe Wenk, Stefan Bauer, Andreas Krause
Adaptive Gaussian Process Change Point Detection. ICML (2022)
Amin Abyaneh, Nino Scherrer, Patrick Schwab, Stefan Bauer, Bernhard Schölkopf, Arash Mehrjou
FED-CD: Federated Causal Discovery from Interventional and Observational Data. CoRR (2022)
Arthur Allshire, Mayank Mittal, Varun Lodaya, Viktor Makoviychuk, Denys Makoviichuk, Felix Widmaier, Manuel Wüthrich, Stefan Bauer, Ankur Handa, Animesh Garg
Transferring Dexterous Manipulation from GPU Simulation to a Remote Real-World TriFinger. IROS (2022)
Qiang Wang, Francisco Roldan Sanchez, Robert McCarthy, David Cordova Bulens, Kevin McGuinness, Noel E. O'Connor, Manuel Wüthrich, Felix Widmaier, Stefan Bauer, Stephen J. Redmond
Dexterous Robotic Manipulation using Deep Reinforcement Learning and Knowledge Transfer for Complex Sparse Reward-based Tasks. CoRR (2022)
Tobias Höppe, Arash Mehrjou, Stefan Bauer, Didrik Nielsen, Andrea Dittadi
Diffusion Models for Video Prediction and Infilling. Trans. Mach. Learn. Res. 2022 (2022)
Panagiotis Tigas, Yashas Annadani, Andrew Jesson, Bernhard Schölkopf, Yarin Gal, Stefan Bauer
Interventions, Where and How? Experimental Design for Causal Models at Scale. CoRR (2022)
Tobias Höppe, Arash Mehrjou, Stefan Bauer, Didrik Nielsen, Andrea Dittadi
Diffusion Models for Video Prediction and Infilling. CoRR (2022)
Arash Mehrjou, Ashkan Soleymani, Andrew Jesson, Pascal Notin, Yarin Gal, Stefan Bauer, Patrick Schwab
GeneDisco: A Benchmark for Experimental Design in Drug Discovery. ICLR (2022)
Felix Leeb, Stefan Bauer, Michel Besserve, Bernhard Schölkopf
Exploring the Latent Space of Autoencoders with Interventional Assays. NeurIPS (2022)
Frederik Träuble, Andrea Dittadi, Manuel Wuthrich, Felix Widmaier, Peter Vincent Gehler, Ole Winther, Francesco Locatello, Olivier Bachem, Bernhard Schölkopf, Stefan Bauer
The Role of Pretrained Representations for the OOD Generalization of RL Agents. ICLR (2022)
Tristan Deleu, António Góis, Chris Emezue, Mansi Rankawat, Simon Lacoste-Julien, Stefan Bauer, Yoshua Bengio
Bayesian Structure Learning with Generative Flow Networks. CoRR (2022)
Yaosen Min, Ye Wei, Peizhuo Wang, Nian Wu, Stefan Bauer, Shuxin Zheng, Yu Shi, Yingheng Wang, Dan Zhao, Ji Wu, Jianyang Zeng
Predicting the protein-ligand affinity from molecular dynamics trajectories. CoRR (2022)
Christian Geiß, Alexander Rabuske, Patrick Aravena Pelizari, Stefan Bauer, Hannes Taubenböck
Selection of unlabeled source domains for domain adaptation in remote sensing. Array 15 (2022)
Tristan Deleu, António Góis, Chris Emezue, Mansi Rankawat, Simon Lacoste-Julien, Stefan Bauer, Yoshua Bengio
Bayesian structure learning with generative flow networks. UAI (2022)
Jithendaraa Subramanian, Yashas Annadani, Ivaxi Sheth, Nan Rosemary Ke, Tristan Deleu, Stefan Bauer, Derek Nowrouzezahrai, Samira Ebrahimi Kahou
Learning Latent Structural Causal Models. CoRR (2022)
Arash Mehrjou, Ashkan Soleymani, Annika Buchholz, Jürgen Hetzel, Patrick Schwab, Stefan Bauer
Federated Learning in Multi-Center Critical Care Research: A Systematic Case Study using the eICU Database. CoRR (2022)
Arash Mehrjou, Ashkan Soleymani, Stefan Bauer, Bernhard Schölkopf
Physical Derivatives: Computing policy gradients by physical forward-propagation. CoRR (2022)
Davide Mambelli, Frederik Träuble, Stefan Bauer, Bernhard Schölkopf, Francesco Locatello
Compositional Multi-Object Reinforcement Learning with Linear Relation Networks. CoRR (2022)
Nan Rosemary Ke, Aniket Didolkar, Sarthak Mittal, Anirudh Goyal, Guillaume Lajoie, Stefan Bauer, Danilo Jimenez Rezende, Michael Mozer, Yoshua Bengio, Chris Pal
Systematic Evaluation of Causal Discovery in Visual Model Based Reinforcement Learning. NeurIPS Datasets and Benchmarks (2021)
Stefan Bauer, Felix Widmaier, Manuel Wüthrich, Niklas Funk, Julen Urain De Jesus, Jan Peters, Joe Watson, Claire Chen, Krishnan Srinivasan, Junwu Zhang, Jeffrey Zhang, Matthew R. Walter, Rishabh Madan, Charles B. Schaff, Takahiro Maeda, Takuma Yoneda, Denis Yarats, Arthur Allshire, Ethan K. Gordon, Tapomayukh Bhattacharjee, Siddhartha S. Srinivasa, Animesh Garg, Annika Buchholz, Sebastian Stark, Thomas Steinbrenner, Joel Akpo, Shruti Joshi, Vaibhav Agrawal, Bernhard Schölkopf
A Robot Cluster for Reproducible Research in Dexterous Manipulation. CoRR (2021)
Nico Gürtler, Felix Widmaier, Cansu Sancaktar, Sebastian Blaes, Pavel Kolev, Stefan Bauer, Manuel Wüthrich, Markus Wulfmeier, Martin A. Riedmiller, Arthur Allshire, Qiang Wang, Robert McCarthy, Hangyeol Kim, Jongchan Baek, Wookyong Kwon, Shanliang Qian, Yasunori Toshimitsu, Mike Yan Michelis, Amirhossein Kazemipour, Arman Raayatsanati, Hehui Zheng, Barnabas Gavin Cangan, Bernhard Schölkopf, Georg Martius
Real Robot Challenge 2022: Learning Dexterous Manipulation from Offline Data in the Real World. NeurIPS (Competition and Demos) (2021)
Andrea Dittadi, Frederik Träuble, Francesco Locatello, Manuel Wuthrich, Vaibhav Agrawal, Ole Winther, Stefan Bauer, Bernhard Schölkopf
On the Transfer of Disentangled Representations in Realistic Settings. ICLR (2021)
Andrea Dittadi, Frederik Träuble, Manuel Wüthrich, Felix Widmaier, Peter V. Gehler, Ole Winther, Francesco Locatello, Olivier Bachem, Bernhard Schölkopf, Stefan Bauer
Representation Learning for Out-Of-Distribution Generalization in Reinforcement Learning. CoRR (2021)
Felix Leeb, Stefan Bauer, Bernhard Schölkopf
Interventional Assays for the Latent Space of Autoencoders. CoRR (2021)
Ðorðe Miladinovic, Aleksandar Stanic, Stefan Bauer, Jürgen Schmidhuber, Joachim M. Buhmann
Spatial Dependency Networks: Neural Layers for Improved Generative Image Modeling. ICLR (2021)
Yashas Annadani, Jonas Rothfuss, Alexandre Lacoste, Nino Scherrer, Anirudh Goyal, Yoshua Bengio, Stefan Bauer
Variational Causal Networks: Approximate Bayesian Inference over Causal Structures. CoRR (2021)
Nan Rosemary Ke, Aniket Didolkar, Sarthak Mittal, Anirudh Goyal, Guillaume Lajoie, Stefan Bauer, Danilo J. Rezende, Yoshua Bengio, Michael Mozer, Christopher J. Pal
Systematic Evaluation of Causal Discovery in Visual Model Based Reinforcement Learning. CoRR (2021)
Korbinian Abstreiter, Stefan Bauer, Arash Mehrjou
Representation Learning in Continuous-Time Score-Based Generative Models. CoRR (2021)
Niklas Funk, Charles B. Schaff, Rishabh Madan, Takuma Yoneda, Julen Urain De Jesus, Joe Watson, Ethan K. Gordon, Felix Widmaier, Stefan Bauer, Siddhartha S. Srinivasa, Tapomayukh Bhattacharjee, Matthew R. Walter, Jan Peters
Benchmarking Structured Policies and Policy Optimization for Real-World Dexterous Object Manipulation. CoRR (2021)
Stefan Bauer, Manuel Wüthrich, Felix Widmaier, Annika Buchholz, Sebastian Stark, Anirudh Goyal, Thomas Steinbrenner, Joel Akpo, Shruti Joshi, Vincent Berenz, Vaibhav Agrawal, Niklas Funk, Julen Urain De Jesus, Jan Peters, Joe Watson, Claire Chen, Krishnan Srinivasan, Junwu Zhang, Jeffrey Zhang, Matthew R. Walter, Rishabh Madan, Takuma Yoneda, Denis Yarats, Arthur Allshire, Ethan K. Gordon, Tapomayukh Bhattacharjee, Siddhartha S. Srinivasa, Animesh Garg, Takahiro Maeda, Harshit Sikchi, Jilong Wang, Qingfeng Yao, Shuyu Yang, Robert McCarthy, Francisco Sanchez, Qiang Wang, David Cordova Bulens, Kevin McGuinness, Noel E. O'Connor, Stephen J. Redmond, Bernhard Schölkopf
Real Robot Challenge: A Robotics Competition in the Cloud. NeurIPS (Competition and Demos) (2021)
Bernhard Schölkopf, Francesco Locatello, Stefan Bauer, Nan Rosemary Ke, Nal Kalchbrenner, Anirudh Goyal, Yoshua Bengio
Towards Causal Representation Learning. CoRR (2021)
Yukun Chen, Frederik Träuble, Andrea Dittadi, Stefan Bauer, Bernhard Schölkopf
Boxhead: A Dataset for Learning Hierarchical Representations. CoRR (2021)
August DuMont Schütte, Jürgen Hetzel, Sergios Gatidis, Tobias Hepp, Benedikt Dietz, Stefan Bauer, Patrick Schwab
Overcoming barriers to data sharing with medical image generation: a comprehensive evaluation. npj Digit. Medicine 4 (2021)
Frederik Träuble, Elliot Creager, Niki Kilbertus, Francesco Locatello, Andrea Dittadi, Anirudh Goyal, Bernhard Schölkopf, Stefan Bauer
On Disentangled Representations Learned from Correlated Data. ICML (2021)
Arash Mehrjou, Ashkan Soleymani, Andrew Jesson, Pascal Notin, Yarin Gal, Stefan Bauer, Patrick Schwab
GeneDisco: A Benchmark for Experimental Design in Drug Discovery. CoRR (2021)
Arthur Allshire, Mayank Mittal, Varun Lodaya, Viktor Makoviychuk, Denys Makoviichuk, Felix Widmaier, Manuel Wüthrich, Stefan Bauer, Ankur Handa, Animesh Garg
Transferring Dexterous Manipulation from GPU Simulation to a Remote Real-World TriFinger. CoRR (2021)
Bernhard Schölkopf, Francesco Locatello, Stefan Bauer, Nan Rosemary Ke, Nal Kalchbrenner, Anirudh Goyal, Yoshua Bengio
Toward Causal Representation Learning. Proc. IEEE 109 (5) (2021)
Djordje Miladinovic, Aleksandar Stanic, Stefan Bauer, Jürgen Schmidhuber, Joachim M. Buhmann
Spatial Dependency Networks: Neural Layers for Improved Generative Image Modeling. CoRR (2021)
Sonali Parbhoo, Stefan Bauer, Patrick Schwab
NCoRE: Neural Counterfactual Representation Learning for Combinations of Treatments. CoRR (2021)
Arash Mehrjou, Ashkan Soleymani, Amin Abyaneh, Bernhard Schölkopf, Stefan Bauer
Pyfectious: An individual-level simulator to discover optimal containment polices for epidemic diseases. CoRR (2021)
Ossama Ahmed, Frederik Träuble, Anirudh Goyal, Alexander Neitz, Manuel Wuthrich, Yoshua Bengio, Bernhard Schölkopf, Stefan Bauer
CausalWorld: A Robotic Manipulation Benchmark for Causal Structure and Transfer Learning. ICLR (2021)
Nasim Rahaman, Anirudh Goyal, Muhammad Waleed Gondal, Manuel Wuthrich, Stefan Bauer, Yash Sharma, Yoshua Bengio, Bernhard Schölkopf
Spatially Structured Recurrent Modules. ICLR (2021)
Muhammad Waleed Gondal, Shruti Joshi, Nasim Rahaman, Stefan Bauer, Manuel Wuthrich, Bernhard Schölkopf
Function Contrastive Learning of Transferable Meta-Representations. ICML (2021)
Nino Scherrer, Olexa Bilaniuk, Yashas Annadani, Anirudh Goyal, Patrick Schwab, Bernhard Schölkopf, Michael C. Mozer, Yoshua Bengio, Stefan Bauer, Nan Rosemary Ke
Learning Neural Causal Models with Active Interventions. CoRR (2021)
Muhammad Waleed Gondal, Shruti Joshi, Nasim Rahaman, Stefan Bauer, Manuel Wüthrich, Bernhard Schölkopf
Function Contrastive Learning of Transferable Representations. CoRR (2020)
Felix Leeb, Yashas Annadani, Stefan Bauer, Bernhard Schölkopf
Structural Autoencoders Improve Representations for Generation and Transfer. CoRR (2020)
Christian Geiß, Patrick Aravena Pelizari, Stefan Bauer, Andreas Schmitt, Hannes Taubenböck
Automatic Training Set Compilation With Multisource Geodata for DTM Generation From the TanDEM-X DSM. IEEE Geosci. Remote. Sens. Lett. 17 (3) (2020)
Diego Agudelo-España, Sebastián Gómez-González, Stefan Bauer, Bernhard Schölkopf, Jan Peters
Bayesian Online Prediction of Change Points. UAI (2020)
Patrick Schwab, Arash Mehrjou, Sonali Parbhoo, Leo Anthony Celi, Jürgen Hetzel, Markus Hofer, Bernhard Schölkopf, Stefan Bauer
Real-time Prediction of COVID-19 related Mortality using Electronic Health Records. CoRR (2020)
Francesco Locatello, Stefan Bauer, Mario Lucic, Gunnar Rätsch, Sylvain Gelly, Bernhard Schölkopf, Olivier Bachem
A Sober Look at the Unsupervised Learning of Disentangled Representations and their Evaluation. CoRR (2020)
Manuel Wüthrich, Felix Widmaier, Felix Grimminger, Joel Akpo, Shruti Joshi, Vaibhav Agrawal, Bilal Hammoud, Majid Khadiv, Miroslav Bogdanovic, Vincent Berenz, Julian Viereck, Maximilien Naveau, Ludovic Righetti, Bernhard Schölkopf, Stefan Bauer
TriFinger: An Open-Source Robot for Learning Dexterity. CoRR (2020)
Francesco Locatello, Stefan Bauer, Mario Lucic, Gunnar Rätsch, Sylvain Gelly, Bernhard Schölkopf, Olivier Bachem
A Sober Look at the Unsupervised Learning of Disentangled Representations and their Evaluation. J. Mach. Learn. Res. 21 (2020)
Manuel Wuthrich, Felix Widmaier, Felix Grimminger, Shruti Joshi, Vaibhav Agrawal, Bilal Hammoud, Majid Khadiv, Miroslav Bogdanovic, Vincent Berenz, Julian Viereck, Maximilien Naveau, Ludovic Righetti, Bernhard Schölkopf, Stefan Bauer
TriFinger: An Open-Source Robot for Learning Dexterity. CoRL (2020)
Patrick Schwab, Lorenz Linhardt, Stefan Bauer, Joachim M. Buhmann, Walter Karlen
Learning Counterfactual Representations for Estimating Individual Dose-Response Curves. AAAI (2020)
Patrick Schwab, August DuMont Schütte, Benedikt Dietz, Stefan Bauer
predCOVID-19: A Systematic Study of Clinical Predictive Models for Coronavirus Disease 2019. CoRR (2020)
Philippe Wenk, Gabriele Abbati, Michael A. Osborne, Bernhard Schölkopf, Andreas Krause, Stefan Bauer
ODIN: ODE-Informed Regression for Parameter and State Inference in Time-Continuous Dynamical Systems. AAAI (2020)
Francesco Locatello, Stefan Bauer, Mario Lucic, Gunnar Rätsch, Sylvain Gelly, Bernhard Schölkopf, Olivier Bachem
A Commentary on the Unsupervised Learning of Disentangled Representations. AAAI (2020)
Ossama Ahmed, Frederik Träuble, Anirudh Goyal, Alexander Neitz, Manuel Wüthrich, Yoshua Bengio, Bernhard Schölkopf, Stefan Bauer
CausalWorld: A Robotic Manipulation Benchmark for Causal Structure and Transfer Learning. CoRR (2020)
Francesco Locatello, Michael Tschannen, Stefan Bauer, Gunnar Rätsch, Bernhard Schölkopf, Olivier Bachem
Disentangling Factors of Variations Using Few Labels. ICLR (2020)
Emmanouil Angelis, Philippe Wenk, Bernhard Schölkopf, Stefan Bauer, Andreas Krause
SLEIPNIR: Deterministic and Provably Accurate Feature Expansion for Gaussian Process Regression with Derivatives. CoRR (2020)

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Publication Activity (10 Years)

Top Topics

Top Venues

Stefan Bauer