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GeneDisco: A Benchmark for Experimental Design in Drug Discovery


Oct 22, 2021
Arash Mehrjou, Ashkan Soleymani, Andrew Jesson, Pascal Notin, Yarin Gal, Stefan Bauer, Patrick Schwab


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Boxhead: A Dataset for Learning Hierarchical Representations


Oct 07, 2021
Yukun Chen, Frederik Tr├Ąuble, Andrea Dittadi, Stefan Bauer, Bernhard Sch├Âlkopf


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A Robot Cluster for Reproducible Research in Dexterous Manipulation


Sep 22, 2021
Stefan Bauer, Felix Widmaier, Manuel W├╝thrich, Niklas Funk, Julen Urain De Jesus, Jan Peters, Joe Watson, Claire Chen, Krishnan Srinivasan, Junwu Zhang, Jeffrey Zhang, Matthew R. Walter, Rishabh Madan, Charles 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 Sch├Âlkopf


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Learning Neural Causal Models with Active Interventions


Sep 06, 2021
Nino Scherrer, Olexa Bilaniuk, Yashas Annadani, Anirudh Goyal, Patrick Schwab, Bernhard Sch├Âlkopf, Michael C. Mozer, Yoshua Bengio, Stefan Bauer, Nan Rosemary Ke


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Transferring Dexterous Manipulation from GPU Simulation to a Remote Real-World TriFinger


Aug 22, 2021
Arthur Allshire, Mayank Mittal, Varun Lodaya, Viktor Makoviychuk, Denys Makoviichuk, Felix Widmaier, Manuel W├╝thrich, Stefan Bauer, Ankur Handa, Animesh Garg

* 13 pages, 11 figures 

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Representation Learning for Out-Of-Distribution Generalization in Reinforcement Learning


Jul 12, 2021
Andrea Dittadi, Frederik Tr├Ąuble, Manuel W├╝thrich, Felix Widmaier, Peter Gehler, Ole Winther, Francesco Locatello, Olivier Bachem, Bernhard Sch├Âlkopf, Stefan Bauer


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Systematic Evaluation of Causal Discovery in Visual Model Based Reinforcement Learning


Jul 02, 2021
Nan Rosemary Ke, Aniket Didolkar, Sarthak Mittal, Anirudh Goyal, Guillaume Lajoie, Stefan Bauer, Danilo Rezende, Yoshua Bengio, Michael Mozer, Christopher Pal


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Interventional Assays for the Latent Space of Autoencoders


Jun 30, 2021
Felix Leeb, Stefan Bauer, Bernhard Sch├Âlkopf

* Under review for NeurIPS 2021 

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Variational Causal Networks: Approximate Bayesian Inference over Causal Structures


Jun 14, 2021
Yashas Annadani, Jonas Rothfuss, Alexandre Lacoste, Nino Scherrer, Anirudh Goyal, Yoshua Bengio, Stefan Bauer

* 10 pages, 6 figures 

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Representation Learning in Continuous-Time Score-Based Generative Models


May 29, 2021
Korbinian Abstreiter, Stefan Bauer, Arash Mehrjou


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Benchmarking Structured Policies and Policy Optimization for Real-World Dexterous Object Manipulation


May 05, 2021
Niklas Funk, Charles 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


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Pyfectious: An individual-level simulator to discover optimal containment polices for epidemic diseases


Mar 24, 2021
Arash Mehrjou, Ashkan Soleymani, Amin Abyaneh, Bernhard Sch├Âlkopf, Stefan Bauer


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NCoRE: Neural Counterfactual Representation Learning for Combinations of Treatments


Mar 20, 2021
Sonali Parbhoo, Stefan Bauer, Patrick Schwab


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Spatial Dependency Networks: Neural Layers for Improved Generative Image Modeling


Mar 16, 2021
─Éor─Ĺe Miladinovi─ç, Aleksandar Stani─ç, Stefan Bauer, J├╝rgen Schmidhuber, Joachim M. Buhmann

* International Conference on Learning Representations (2021); 

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Towards Causal Representation Learning


Feb 22, 2021
Bernhard Sch├Âlkopf, Francesco Locatello, Stefan Bauer, Nan Rosemary Ke, Nal Kalchbrenner, Anirudh Goyal, Yoshua Bengio

* Special Issue of Proceedings of the IEEE - Advances in Machine Learning and Deep Neural Networks 

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Overcoming Barriers to Data Sharing with Medical Image Generation: A Comprehensive Evaluation


Nov 29, 2020
August DuMont Sch├╝tte, J├╝rgen Hetzel, Sergios Gatidis, Tobias Hepp, Benedikt Dietz, Stefan Bauer, Patrick Schwab


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On the Transfer of Disentangled Representations in Realistic Settings


Oct 27, 2020
Andrea Dittadi, Frederik Tr├Ąuble, Francesco Locatello, Manuel W├╝thrich, Vaibhav Agrawal, Ole Winther, Stefan Bauer, Bernhard Sch├Âlkopf


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A Sober Look at the Unsupervised Learning of Disentangled Representations and their Evaluation


Oct 27, 2020
Francesco Locatello, Stefan Bauer, Mario Lucic, Gunnar R├Ątsch, Sylvain Gelly, Bernhard Sch├Âlkopf, Olivier Bachem

* Journal of Machine Learning Research 2020, Volume 21, Number 209 
* arXiv admin note: substantial text overlap with arXiv:1811.12359 

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Function Contrastive Learning of Transferable Representations


Oct 14, 2020
Muhammad Waleed Gondal, Shruti Joshi, Nasim Rahaman, Stefan Bauer, Manuel W├╝thrich, Bernhard Sch├Âlkopf


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CausalWorld: A Robotic Manipulation Benchmark for Causal Structure and Transfer Learning


Oct 08, 2020
Ossama Ahmed, Frederik Tr├Ąuble, Anirudh Goyal, Alexander Neitz, Manuel W├╝thrich, Yoshua Bengio, Bernhard Sch├Âlkopf, Stefan Bauer

* The first two authors contributed equally 

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Real-time Prediction of COVID-19 related Mortality using Electronic Health Records


Aug 31, 2020
Patrick Schwab, Arash Mehrjou, Sonali Parbhoo, Leo Anthony Celi, J├╝rgen Hetzel, Markus Hofer, Bernhard Sch├Âlkopf, Stefan Bauer


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TriFinger: An Open-Source Robot for Learning Dexterity


Aug 08, 2020
Manuel W├╝thrich, 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 Sch├Âlkopf, Stefan Bauer


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A Commentary on the Unsupervised Learning of Disentangled Representations


Jul 28, 2020
Francesco Locatello, Stefan Bauer, Mario Lucic, Gunnar R├Ątsch, Sylvain Gelly, Bernhard Sch├Âlkopf, Olivier Bachem

* The Thirty-Fourth AAAI Conference on Artificial Intelligence 2020 (AAAI-20) 

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S2RMs: Spatially Structured Recurrent Modules


Jul 13, 2020
Nasim Rahaman, Anirudh Goyal, Muhammad Waleed Gondal, Manuel Wuthrich, Stefan Bauer, Yash Sharma, Yoshua Bengio, Bernhard Sch├Âlkopf


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Causal Feature Selection via Orthogonal Search


Jul 06, 2020
Anant Raj, Stefan Bauer, Ashkan Soleymani, Michel Besserve, Bernhard Sch├Âlkopf


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Is Independence all you need? On the Generalization of Representations Learned from Correlated Data


Jun 14, 2020
Frederik Tr├Ąuble, Elliot Creager, Niki Kilbertus, Anirudh Goyal, Francesco Locatello, Bernhard Sch├Âlkopf, Stefan Bauer

* 33 pages, 33 figures 

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Structural Autoencoders Improve Representations for Generation and Transfer


Jun 14, 2020
Felix Leeb, Yashas Annadani, Stefan Bauer, Bernhard Sch├Âlkopf

* Submitted to NeurIPS 2020 

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predCOVID-19: A Systematic Study of Clinical Predictive Models for Coronavirus Disease 2019


May 17, 2020
Patrick Schwab, August DuMont Sch├╝tte, Benedikt Dietz, Stefan Bauer


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SLEIPNIR: Deterministic and Provably Accurate Feature Expansion for Gaussian Process Regression with Derivatives


Mar 05, 2020
Emmanouil Angelis, Philippe Wenk, Bernhard Sch├Âlkopf, Stefan Bauer, Andreas Krause


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Learning Neural Causal Models from Unknown Interventions


Oct 02, 2019
Nan Rosemary Ke, Olexa Bilaniuk, Anirudh Goyal, Stefan Bauer, Hugo Larochelle, Chris Pal, Yoshua Bengio


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