Empirical Inference Miscellaneous NCoRE: Neural Counterfactual Representation Learning for Combinations of Treatments Prabhoo, S., Bauer, S., Schwab, P. 2021 (Published) arXiv BibTeX

Empirical Inference Article Real-time Prediction of COVID-19 related Mortality using Electronic Health Records Schwab, P., Mehrjou, A., Parbhoo, S., Celi, L., Hetzel, J., Hofer, M., Schölkopf, B., Bauer, S. Nature Communications, 12, 2021 (Published) DOI URL BibTeX

Empirical Inference Article Toward Causal Representation Learning Schölkopf*, B., Locatello*, F., Bauer, S., Ke, N. R., Kalchbrenner, N., Goyal, A., Bengio, Y. Proceedings of the IEEE, 109(5):612-634, 2021, *equal contribution (Published) DOI URL BibTeX

Empirical Inference Miscellaneous Transferring Dexterous Manipulation from GPU Simulation to a Remote Real-World TriFinger Allshire, A., Mittal, M., Lodaya, V., Makoviychuk, V., Makoviichuk, D., Widmaier, F., Wüthrich, M., Bauer, S., Handa, A., Garg, A. 2021 () arXiv BibTeX

Empirical Inference Autonomous Motion Movement Generation and Control Conference Paper TriFinger: An Open-Source Robot for Learning Dexterity Wüthrich, M., Widmaier, F., Grimminger, F., Akpo, J., Joshi, S., Agrawal, V., Hammoud, B., Khadiv, M., Bogdanovic, M., Berenz, V., et al. Proceedings of the 4th Conference on Robot Learning (CoRL), 155:1871-1882, Proceedings of Machine Learning Research, (Editors: Jens Kober and Fabio Ramos and Claire J. Tomlin), PMLR, November 2020 (Published) PDF URL BibTeX

Empirical Inference Conference Paper Detection of diabetes from whole-body magnetic resonance imaging using deep learning Wagner, R., Dietz, B., Machann, J., Schwab, P., Dienes, J., Reichert, S., Birkenfeld, A. L., Haering, H., Schick, F., Stefan, N., et al. Diabetologia - 56th EASD Annual Meeting of the European Association for the Study of Diabetes, 63(1-supplement):551, September 2020 (Published) Poster URL BibTeX

Empirical Inference Conference Paper Bayesian Online Prediction of Change Points Agudelo-España, D., Gomez-Gonzalez, S., Bauer, S., Schölkopf, B., Peters, J. Proceedings of the 36th International Conference on Uncertainty in Artificial Intelligence (UAI), 124:320-329, Proceedings of Machine Learning Research, (Editors: Jonas Peters and David Sontag), PMLR, August 2020 (Published) URL BibTeX

Empirical Inference Conference Paper Disentangling Factors of Variations Using Few Labels Locatello, F., Tschannen, M., Bauer, S., Rätsch, G., Schölkopf, B., Bachem, O. 8th International Conference on Learning Representations (ICLR), April 2020 (Published) arXiv URL BibTeX

Empirical Inference Conference Paper A Commentary on the Unsupervised Learning of Disentangled Representations Locatello, F., Bauer, S., Lucic, M., Rätsch, G., Gelly, S., Schölkopf, B., Bachem, O. Proceedings of the 34th Conference on Artificial Intelligence (AAAI), 34(9):13681-13684, AAAI Press, February 2020, Sister Conference Track (Published) DOI URL BibTeX

Empirical Inference Conference Paper Learning Counterfactual Representations for Estimating Individual Dose-Response Curves Schwab, P., Linhardt, L., Bauer, S., Buhmann, J. M., Karlen, W. Proceedings of the 34th Conference on Artificial Intelligence (AAAI), 34(4):5612-5619, AAAI Press, February 2020, AAAI Technical Track: Machine Learning (Published) DOI URL BibTeX