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Towards Causal Representation Learning

Feb 22, 2021
Bernhard Schölkopf, 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 Schütte, Jürgen 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 Träuble, Francesco Locatello, Manuel Wüthrich, Vaibhav Agrawal, Ole Winther, Stefan Bauer, Bernhard Schölkopf


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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 Rätsch, Sylvain Gelly, Bernhard Schölkopf, 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 Wüthrich, Bernhard Schölkopf


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

Oct 08, 2020
Ossama Ahmed, Frederik Träuble, Anirudh Goyal, Alexander Neitz, Manuel Wüthrich, Yoshua Bengio, Bernhard Schölkopf, 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, Jürgen Hetzel, Markus Hofer, Bernhard Schölkopf, Stefan Bauer


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TriFinger: An Open-Source Robot for Learning Dexterity

Aug 08, 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


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A Commentary on the Unsupervised Learning of Disentangled Representations

Jul 28, 2020
Francesco Locatello, Stefan Bauer, Mario Lucic, Gunnar Rätsch, Sylvain Gelly, Bernhard Schölkopf, 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 Schölkopf


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Causal Feature Selection via Orthogonal Search

Jul 06, 2020
Anant Raj, Stefan Bauer, Ashkan Soleymani, Michel Besserve, Bernhard Schölkopf


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

Jun 14, 2020
Frederik Träuble, Elliot Creager, Niki Kilbertus, Anirudh Goyal, Francesco Locatello, Bernhard Schölkopf, 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 Schölkopf

* 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 Schütte, 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 Schölkopf, 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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On the Transfer of Inductive Bias from Simulation to the Real World: a New Disentanglement Dataset

Jun 07, 2019
Muhammad Waleed Gondal, Manuel Wüthrich, Đorđe Miladinović, Francesco Locatello, Martin Breidt, Valentin Volchkov, Joel Akpo, Olivier Bachem, Bernhard Schölkopf, Stefan Bauer


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Disentangled State Space Representations

Jun 07, 2019
Đorđe Miladinović, Muhammad Waleed Gondal, Bernhard Schölkopf, Joachim M. Buhmann, Stefan Bauer


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On the Fairness of Disentangled Representations

May 31, 2019
Francesco Locatello, Gabriele Abbati, Tom Rainforth, Stefan Bauer, Bernhard Schölkopf, Olivier Bachem


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Disentangling Factors of Variation Using Few Labels

May 03, 2019
Francesco Locatello, Michael Tschannen, Stefan Bauer, Gunnar Rätsch, Bernhard Schölkopf, Olivier Bachem


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Orthogonal Structure Search for Efficient Causal Discovery from Observational Data

Mar 06, 2019
Anant Raj, Luigi Gresele, Michel Besserve, Bernhard Schölkopf, Stefan Bauer


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AReS and MaRS - Adversarial and MMD-Minimizing Regression for SDEs

Feb 22, 2019
Gabriele Abbati, Philippe Wenk, Stefan Bauer, Michael A Osborne, Andreas Krause, Bernhard Schölkopf


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ODIN: ODE-Informed Regression for Parameter and State Inference in Time-Continuous Dynamical Systems

Feb 17, 2019
Philippe Wenk, Gabriele Abbati, Stefan Bauer, Michael A Osborne, Andreas Krause, Bernhard Schölkopf


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Bayesian Online Detection and Prediction of Change Points

Feb 12, 2019
Diego Agudelo-España, Sebastian Gomez-Gonzalez, Stefan Bauer, Bernhard Schölkopf, Jan Peters


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Learning Counterfactual Representations for Estimating Individual Dose-Response Curves

Feb 03, 2019
Patrick Schwab, Lorenz Linhardt, Stefan Bauer, Joachim M. Buhmann, Walter Karlen


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Challenging Common Assumptions in the Unsupervised Learning of Disentangled Representations

Dec 02, 2018
Francesco Locatello, Stefan Bauer, Mario Lucic, Sylvain Gelly, Bernhard Schölkopf, Olivier Bachem

* This is a preliminary preprint based on our initial experimental results 

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Interventional Robustness of Deep Latent Variable Models

Oct 31, 2018
Raphael Suter, Đorđe Miladinović, Stefan Bauer, Bernhard Schölkopf


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Identifying Causal Structure in Large-Scale Kinetic Systems

Oct 28, 2018
Niklas Pfister, Stefan Bauer, Jonas Peters


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Adaptive Skip Intervals: Temporal Abstraction for Recurrent Dynamical Models

Sep 13, 2018
Alexander Neitz, Giambattista Parascandolo, Stefan Bauer, Bernhard Schölkopf


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Fast Gaussian Process Based Gradient Matching for Parameter Identification in Systems of Nonlinear ODEs

Apr 12, 2018
Philippe Wenk, Alkis Gotovos, Stefan Bauer, Nico Gorbach, Andreas Krause, Joachim M. Buhmann


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