Adaptive Skip Intervals: Temporal Abstraction for Recurrent Dynamical Models
Bernhard Schölkopf , Giambattista Parascandolo , Stefan Bauer , Alexander Neitz
arXiv: Learning
31
2018
On the Fairness of Disentangled Representations.
Bernhard Schölkopf , Olivier Bachem , Stefan Bauer , Tom Rainforth
arXiv: Learning
164
2019
On the Transfer of Inductive Bias from Simulation to the Real World: a New Disentanglement Dataset
Bernhard Schölkopf , Olivier Bachem , Martin Breidt , Manuel Wüthrich
arXiv: Machine Learning
90
2019
Robustly Disentangled Causal Mechanisms: Validating Deep Representations for Interventional Robustness
Bernhard Schölkopf , Stefan Bauer , Raphael Suter , Djordje Miladinovic
international conference on machine learning 6056 -6065
108
2019
Scalable Variational Inference for Dynamical Systems
Joachim M. Buhmann , Stefan Bauer , Nico S. Gorbach
neural information processing systems 30 4806 -4815
15
2017
Challenging Common Assumptions in the Unsupervised Learning of Disentangled Representations.
Gunnar Rätsch , Bernhard Schölkopf , Olivier Bachem , Sylvain Gelly
international conference on learning representations
1,048
2019
predCOVID-19: A Systematic Study of Clinical Predictive Models for Coronavirus Disease 2019
Stefan Bauer , Patrick Schwab , Benedikt Dietz , August DuMont Schütte
arXiv: Learning
34
2020
Learning by shaking: Computing policy gradients by physical forward-propagation
Bernhard Schölkopf , Stefan Bauer , Arash Mehrjou , Ashkan Soleymani
2019
TriFinger: An Open-Source Robot for Learning Dexterity.
Vincent Berenz , Bernhard Schölkopf , Felix Grimminger , Manuel Wüthrich
arXiv: Robotics
35
2020
CausalWorld: A Robotic Manipulation Benchmark for Causal Structure and Transfer Learning
Yoshua Bengio , Bernhard Schölkopf , Manuel Wüthrich , Anirudh Goyal
arXiv: Robotics
81
2020
A Sober Look at the Unsupervised Learning of Disentangled Representations and their Evaluation
Bernhard Schölkopf , Olivier Bachem , Sylvain Gelly , Mario Lucic
Journal of Machine Learning Research 21 ( 209) 1 -62
39
2020
Clinical Predictive Models for COVID-19: Systematic Study.
Stefan Bauer , Patrick Schwab , Benedikt Dietz , August DuMont Schütte
arXiv: Learning
74
2020
Convolutional neural network-assisted recognition of nanoscale L12 ordered structures in face-centred cubic alloys
Markus Rampp , Yue Li , Hongxiang Li , Xuyang Zhou
npj Computational Materials 7 ( 1) 1 -9
9
2021
On the Transfer of Disentangled Representations in Realistic Settings
Bernhard Schölkopf , Ole Winther , Manuel Wuthrich , Stefan Bauer
international conference on learning representations
48
2021
Real-time prediction of COVID-19 related mortality using electronic health records.
Bernhard Schölkopf , Bernhard Schölkopf , Jürgen Hetzel , Leo Anthony Celi
Nature Communications 12 ( 1) 1058 -1058
2021
Systematic Evaluation of Causal Discovery in Visual Model Based Reinforcement Learning
Yoshua Bengio , Michael Curtis Mozer , Guillaume Lajoie , Christopher Pal
14
2021
On Disentangled Representations Learned From Correlated Data
Frederik Träuble , Elliot Creager , Niki Kilbertus , Francesco Locatello
arXiv: Learning
57
2021
Spatial Dependency Networks: Neural Layers for Improved Generative Image Modeling
Joachim M. Buhmann , Jürgen Schmidhuber , Stefan Bauer , Đorđe Miladinović
international conference on learning representations
2021
Toward Causal Representation Learning
Yoshua Bengio , Nal Kalchbrenner , Bernhard Scholkopf , Anirudh Goyal
Proceedings of the IEEE 109 ( 5) 612 -634
504
2021
Benchmarking Structured Policies and Policy Optimization for Real-World Dexterous Object Manipulation.
Jan Peters , Matthew R. Walter , Tapomayukh Bhattacharjee , Stefan Bauer
arXiv: Robotics
13
2021
Bernhard Schölkopf Francesco Locatello Yoshua Bengio Olivier Bachem Anirudh Goyal Manuel Wüthrich Joachim M. Buhmann Patrick Schwab Nan Rosemary Ke Djordje Miladinovic Gunnar Rätsch Frederik Träuble Mario Lučić Sylvain Gelly Muhammad Waleed Gondal Michael Mozer Andreas Krause Philippe Wenk Olexa Bilaniuk Chris Pal