Empirical Inference Article Overcoming Barriers to Data Sharing with Medical Image Generation: A Comprehensive Evaluation DuMont Schütte, A., Hetzel, J., Gatidis, S., Hepp, T., Dietz, B., Bauer, S., Schwab, P. npj Digital Medicine, 4, September 2021 (Published) arXiv DOI URL BibTeX

Empirical Inference Conference Paper Function Contrastive Learning of Transferable Meta-Representations Gondal, M. W., Joshi, S., Rahaman, N., Bauer, S., Wüthrich, M., Schölkopf, B. Proceedings of 38th International Conference on Machine Learning (ICML), 139:3755-3765, Proceedings of Machine Learning Research, (Editors: Meila, Marina and Zhang, Tong), PMLR, July 2021 (Published) URL BibTeX

Empirical Inference Conference Paper On Disentangled Representations Learned From Correlated Data Träuble, F., Creager, E., Kilbertus, N., Locatello, F., Dittadi, A., Goyal, A., Schölkopf, B., Bauer, S. Proceedings of 38th International Conference on Machine Learning (ICML), 139:10401-10412, Proceedings of Machine Learning Research, (Editors: Meila, Marina and Zhang, Tong), PMLR, July 2021 (Published) URL BibTeX

Empirical Inference Conference Paper Representation Learning for Out-of-distribution Generalization in Reinforcement Learning Learning Träuble*, F., Dittadi*, A., Wüthrich, M., Widmaier, F., Gehler, P., Winther, O., Locatello, F., Bachem, O., Schölkopf, B., Bauer, S. ICML 2021 Workshop on Unsupervised Reinforcement Learning (ICML 2021) , ICML 2021 Workshop on Unsupervised Reinforcement Learning (ICML 2021) , July 2021, *equal contribution (Published) URL BibTeX

Empirical Inference Conference Paper CausalWorld: A Robotic Manipulation Benchmark for Causal Structure and Transfer Learning Ahmed*, O., Träuble*, F., Goyal, A., Neitz, A., Bengio, Y., Schölkopf, B., Wüthrich, M., Bauer, S. In 9th International Conference on Learning Representations (ICLR 2021), :20, ICLR, Wien, International Conference on Learning Representations (ICLR), May 2021, *equal contribution (Published) URL BibTeX

Empirical Inference Conference Paper Spatially Structured Recurrent Modules Rahaman, N., Goyal, A., Gondal, M. W., Wüthrich, M., Bauer, S., Sharma, Y., Bengio, Y., Schölkopf, B. In 9th International Conference on Learning Representations (ICLR), May 2021 (Published) URL BibTeX

Empirical Inference Conference Paper On the Transfer of Disentangled Representations in Realistic Settings Dittadi*, A., Träuble*, F., Locatello, F., Wüthrich, M., Agrawal, V., Winther, O., Bauer, S., Schölkopf, B. In The Ninth International Conference on Learning Representations (ICLR), The 9th International Conference on Learning Representations (ICLR 2021) , May 2021, *equal contribution (Published) URL BibTeX

Empirical Inference Conference Paper Spatial Dependency Networks: Neural Layers for Improved Generative Image Modeling Miladinović, D., Stanić, A., Bauer, S., Schmidhuber, J., Buhmann, J. M. In The 9th International Conference on Learning Representations (ICLR), The Ninth International Conference on Learning Representations (ICLR 2021), May 2021 (Published) URL BibTeX

Empirical Inference Robotics Miscellaneous A Robot Cluster for Reproducible Research in Dexterous Manipulation Wüthrich*, M., Widmaier*, F., Bauer*, S., Funk, N., Urain, J., Peters, J., Watson, J., Chen, C., Srinivasan, K., Zhang, J., et al. 2021, *equal contribution (Published) arXiv BibTeX

Empirical Inference Article Convolutional neural network-assisted recognition of nanoscale L12 ordered structures in face-centred cubic alloys Li, Y., Zhou, X., Colnaghi, T., Wei, Y., Marek, A., Li, H., Bauer, S., Rampp, M., Stephenson, L. npj Computational Materials, 7, 2021 (Published) PDF DOI URL BibTeX