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Empirical Inference Conference Paper A Probabilistic State Space Model for Joint Inference from Differential Equations and Data Schmidt, J., Kraemer, N., Hennig, P. Advances in Neural Information Processing Systems 34 (NeurIPS 2021), 12374-12385, (Editors: M. Ranzato and A. Beygelzimer and Y. Dauphin and P.S. Liang and J. Wortman Vaughan), Curran Associates, Inc., 35th Annual Conference on Neural Information Processing Systems, December 2021 (Published) URL BibTeX
Empirical Inference Conference Paper An Infinite-Feature Extension for Bayesian ReLU Nets That Fixes Their Asymptotic Overconfidence Kristiadi, A., Hein, M., Hennig, P. Advances in Neural Information Processing Systems 34 (NeurIPS 2021), 18789-18800, (Editors: M. Ranzato and A. Beygelzimer and Y. Dauphin and P.S. Liang and J. Wortman Vaughan), Curran Associates, Inc., 35th Annual Conference on Neural Information Processing Systems, December 2021 (Published) URL BibTeX
Empirical Inference Conference Paper Analytic Insights into Structure and Rank of Neural Network Hessian Maps Singh, S. P., Bachmann, G., Hofmann, T. Advances in Neural Information Processing Systems 34 (NeurIPS 2021), 23914-23927, (Editors: M. Ranzato and A. Beygelzimer and Y. Dauphin and P.S. Liang and J. Wortman Vaughan), Curran Associates, Inc., 35th Annual Conference on Neural Information Processing Systems, December 2021 (Published) URL BibTeX
Empirical Inference Article ArmSym: a virtual human-robot interaction laboratory for assistive robotics Bustamante, S., Peters, J., Schölkopf, B., Grosse-Wentrup, M., Jayaram, V. IEEE Transactions on Human-Machine Systems, 51(6):568-577, December 2021 (Published) DOI URL BibTeX
Empirical Inference Conference Paper Backward-Compatible Prediction Updates: A Probabilistic Approach Träuble, F., von Kügelgen, J., Kleindessner, M., Locatello, F., Schölkopf, B., Gehler, P. Advances in Neural Information Processing Systems 34 (NeurIPS 2021), 116-128, (Editors: M. Ranzato and A. Beygelzimer and Y. Dauphin and P.S. Liang and J. Wortman Vaughan), Curran Associates, Inc., 35th Annual Conference on Neural Information Processing Systems (NeurIPS), December 2021 (Published) arXiv URL BibTeX
Empirical Inference Conference Paper Bootstrap Your Flow Midgley, L. I., Stimper, V., Simm, G. N. C., Hernández-Lobato, J. M. 1st ELLIS Machine Learning for Molecule Discovery Workshop, 1st ELLIS Machine Learning for Molecule Discovery Workshop , December 2021 (Published) arXiv URL BibTeX
Autonomous Learning Empirical Inference Conference Paper Causal Influence Detection for Improving Efficiency in Reinforcement Learning Seitzer, M., Schölkopf, B., Martius, G. In Advances in Neural Information Processing Systems 34 (NeurIPS 2021), 34:22905-22918, (Editors: M. Ranzato and A. Beygelzimer and Y. Dauphin and P. S. Liang and J. Wortman Vaughan), Curran Associates, Inc., Red Hook, NY, 35th Conference on Neural Information Processing Systems, December 2021 (Published) arXiv PDF Data Code URL BibTeX
Empirical Inference Conference Paper Cockpit: A Practical Debugging Tool for the Training of Deep Neural Networks Schneider, F., Dangel, F., Hennig, P. Advances in Neural Information Processing Systems 34 (NeurIPS 2021), 20825-20837, (Editors: M. Ranzato and A. Beygelzimer and Y. Dauphin and P.S. Liang and J. Wortman Vaughan), Curran Associates, Inc., 35th Annual Conference on Neural Information Processing Systems (NeurIPS), December 2021 (Published) URL BibTeX
Empirical Inference Conference Paper DiBS: Differentiable Bayesian Structure Learning Lorch, L., Rothfuss, J., Schölkopf, B., Krause, A. In Advances in Neural Information Processing Systems 34, 29:24111-24123, (Editors: M. Ranzato and A. Beygelzimer and Y. Dauphin and P. S. Liang and J. Wortman Vaughan), Curran Associates, Inc., Red Hook, NY, 35th Annual Conference on Neural Information Processing Systems (NeurIPS 2021), December 2021 (Published) URL BibTeX
Empirical Inference Conference Paper Dynamic Inference with Neural Interpreters Rahaman*, N., Gondal*, M. W., Joshi, S., Gehler, P., Bengio, Y., Locatello, F., Schölkopf, B. Advances in Neural Information Processing Systems 34 (NeurIPS 2021), 10985-10998, (Editors: M. Ranzato and A. Beygelzimer and Y. Dauphin and P.S. Liang and J. Wortman Vaughan), Curran Associates, Inc., 35th Annual Conference on Neural Information Processing Systems, December 2021, *equal contribution (Published) URL BibTeX
Empirical Inference Conference Paper Fine-Grained Zero-Shot Learning with DNA as Side Information Badirli, S., Akata, Z., Mohler, G., Picard, C., Dundar, M. Advances in Neural Information Processing Systems 34 (NeurIPS 2021), 34:19352-19362, (Editors: M. Ranzato and A. Beygelzimer and Y. Dauphin and P.S. Liang and J. Wortman Vaughan), Curran Associates, Inc., 35th Conference on Neural Information Processing Systems (NeurIPS 2021) , December 2021 (Published) URL BibTeX
Empirical Inference Autonomous Learning Conference Paper Hierarchical Reinforcement Learning with Timed Subgoals Gürtler, N., Büchler, D., Martius, G. In Advances in Neural Information Processing Systems 34, 26:21732-21743, (Editors: M. Ranzato and A. Beygelzimer and Y. Dauphin and P. S. Liang and J. Wortman Vaughan), Curran Associates, Inc., Red Hook, NY, 35th Conference on Neural Information Processing Systems (NeurIPS 2021), December 2021 (Published) video arXiv code URL BibTeX
Empirical Inference Conference Paper Independent mechanisms analysis, a new concept? Gresele*, L., von Kügelgen*, J., Stimper, V., Schölkopf, B., Besserve, M. Advances in Neural Information Processing Systems 34 (NeurIPS 2021), 28233-28248, (Editors: M. Ranzato and A. Beygelzimer and Y. Dauphin and P.S. Liang and J. Wortman Vaughan), Curran Associates, Inc., Red Hook, NY, 35th Annual Conference on Neural Information Processing Systems, December 2021, *equal contribution (Published) arXiv URL BibTeX
Empirical Inference Conference Paper Iterative Teaching by Label Synthesis Liu, W., Liu, Z., Wang, H., Paull, L., Schölkopf, B., Weller, A. Advances in Neural Information Processing Systems 34 (NeurIPS 2021), 21681-21695, (Editors: M. Ranzato and A. Beygelzimer and Y. Dauphin and P.S. Liang and J. Wortman Vaughan), Curran Associates, Inc., 35th Annual Conference on Neural Information Processing Systems, December 2021 (Published) URL BibTeX
Empirical Inference Conference Paper Laplace Redux — Effortless Bayesian Deep Learning Daxberger*, E., Kristiadi*, A., Immer*, A., Eschenhagen*, R., Bauer, M., Hennig, P. Advances in Neural Information Processing Systems 34 (NeurIPS 2021), 20089-20103, (Editors: M. Ranzato and A. Beygelzimer and Y. Dauphin and P.S. Liang and J. Wortman Vaughan), Curran Associates, Inc., 35th Annual Conference on Neural Information Processing Systems, December 2021, *equal contribution (Published) URL BibTeX
Empirical Inference Conference Paper Linear-Time Probabilistic Solution of Boundary Value Problems Kraemer, N., Hennig, P. Advances in Neural Information Processing Systems 34 (NeurIPS 2021), 11160-11171, (Editors: M. Ranzato and A. Beygelzimer and Y. Dauphin and P.S. Liang and J. Wortman Vaughan), Curran Associates, Inc., 35th Annual Conference on Neural Information Processing Systems, December 2021 (Published) URL BibTeX
Empirical Inference Conference Paper Locality Sensitive Teaching Xu, Z., Chen, B., Li, C., Liu, W., Song, L., Lin, Y., Shrivastava, A. Advances in Neural Information Processing Systems 34 (NeurIPS 2021), 18049-18062, (Editors: M. Ranzato and A. Beygelzimer and Y. Dauphin and P.S. Liang and J. Wortman Vaughan), Curran Associates, Inc., 35th Annual Conference on Neural Information Processing Systems, December 2021 (Published) URL BibTeX
Empirical Inference Article Real-time gravitational wave science with neural posterior estimation Dax, M., Green, S. R., Gair, J., Macke, J. H., Buonanno, A., Schölkopf, B. Physical Review Letters, 127(24), December 2021 (Published) arXiv DOI URL BibTeX
Empirical Inference Conference Paper Regret Bounds for Gaussian-Process Optimization in Large Domains Wüthrich, M., Schölkopf, B., Krause, A. Advances in Neural Information Processing Systems 34 (NeurIPS 2021), 7385-7396, (Editors: M. Ranzato and A. Beygelzimer and Y. Dauphin and P.S. Liang and J. Wortman Vaughan), Curran Associates, Inc., 35th Annual Conference on Neural Information Processing Systems, December 2021 (Published) arXiv URL BibTeX
Empirical Inference Conference Paper Robustness via Uncertainty-aware Cycle Consistency Upadhyay, U., Chen, Y., Akata, Z. Advances in Neural Information Processing Systems 34 (NeurIPS 2021), 28261-28273, (Editors: M. Ranzato and A. Beygelzimer and Y. Dauphin and P.S. Liang and J. Wortman Vaughan), Curran Associates, Inc., 35th Annual Conference on Neural Information Processing Systems, December 2021 (Published) URL BibTeX
Empirical Inference Conference Paper Self-supervised learning with data augmentations provably isolates content from style von Kügelgen*, J., Sharma*, Y., Gresele*, L., Brendel, W., Schölkopf, B., Besserve, M., Locatello, F. Advances in Neural Information Processing Systems 34 (NeurIPS 2021), 16451-16467, (Editors: M. Ranzato and A. Beygelzimer and Y. Dauphin and P.S. Liang and J. Wortman Vaughan), Curran Associates, Inc., 35th Annual Conference on Neural Information Processing Systems, December 2021, *equal contribution (Published) arXiv URL BibTeX
Empirical Inference Conference Paper The Inductive Bias of Quantum Kernels Kübler*, J. M., Buchholz*, S., Schölkopf, B. Advances in Neural Information Processing Systems 34 (NeurIPS 2021), 12661-12673, (Editors: M. Ranzato and A. Beygelzimer and Y. Dauphin and P.S. Liang and J. Wortman Vaughan), Curran Associates, Inc., 35th Annual Conference on Neural Information Processing Systems, December 2021, *equal contribution (Published) arXiv URL BibTeX
Empirical Inference Article Coupling of hippocampal theta and ripples with pontogeniculooccipital waves Ramirez-Villegas, J., Besserve, M., Murayama, Y., Evrard, H., Oeltermann, A., Logothetis, N. Nature, 589(7840):96-102, Nature, November 2021 (Published) DOI URL BibTeX
Empirical Inference Master Thesis Learning Neural Causal Models with Active Interventions Scherrer, N. ETH Zurich, Switzerland, November 2021 (Published) BibTeX
Empirical Inference Conference Paper Causal Direction of Data Collection Matters: Implications of Causal and Anticausal Learning for NLP Jin*, Z., von Kügelgen*, J., Ni, J., Vaidhya, T., Kaushal, A., Sachan, M., Schölkopf, B. Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (EMNLP), 9499-9513, (Editors: Marie-Francine Moens and Xuanjing Huang and Lucia Specia and Scott Wen-tau Yih), Association for Computational Linguistics, November 2021, *equal contribution (Published) arXiv DOI URL BibTeX
Empirical Inference Conference Paper Conditional De-Identification of 3D Magnetic Resonance Images van der Goten, L., Hepp, T., Akata, Z., Smith, K. 32nd British Machine Vision Conference (BMVC), November 2021 (Published) URL BibTeX
Empirical Inference Conference Paper Human Attention in Fine-grained Classification Rong, Y., Xu, W., Akata, Z., Kasneci, E. 32nd British Machine Vision Conference (BMVC), November 2021 (Published) URL BibTeX
Empirical Inference Conference Paper Mining the Cause of Political Decision-Making from Social Media: A Case Study of COVID-19 Policies across the US States Jin, Z., Peng, Z., Vaidhya, T., Schölkopf, B., Mihalcea, R. Findings of the Association for Computational Linguistics: EMNLP, 288-301, (Editors: Marie-Francine Moens and Xuanjing Huang and Lucia Specia and Scott Wen-tau Yih), Association for Computational Linguistics, November 2021 (Published) DOI URL BibTeX
Empirical Inference Conference Paper Prototype-based Incremental Few-Shot Segmentation Cermelli, F., Mancini, M., Xian, Y., Akata, Z., Caputo, B. 32nd British Machine Vision Conference (BMVC), November 2021 (Published) URL BibTeX
Empirical Inference Master Thesis HealthGen: Conditional Generation of Realistic Medical Time Series with Informative Missingness Bing, S. ETH Zurich, Switzerland, October 2021 (Published) BibTeX
Empirical Inference Master Thesis Study of the Interventional Consistency of Autoencoders Lanzillotta, G. ETH Zurich, Switzerland, October 2021 (Published) BibTeX
Empirical Inference Article Batch Reinforcement Learning with a Nonparametric Off-Policy Policy Gradient Tosatto, S., Carvalho, J., Peters, J. IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), 44(10):5996-6010, October 2021, *early access (Published) DOI BibTeX
Empirical Inference Ph.D. Thesis Dynamics of Learning and Learning of Dynamics Mehrjou, A. ETH Zürich, Zürich, October 2021 (Published) DOI BibTeX
Empirical Inference Article Improving 1-year mortality prediction in ACS patients using machine learning Weichwald, S., Candreva, A., Burkholz, R., Klingenberg, R., Räber, L., Heg, D., Manka, R., Gencer, B., Mach, F., Nanchen, D., et al. European Heart Journal. Acute Cardiovascular Care, 10(8):855-865, October 2021 (Published) DOI BibTeX
Empirical Inference Conference Paper Keep CALM and Improve Visual Feature Attribution Kim, J. M., Choe, J., Akata, Z., Oh, S. J. International Conference on Computer Vision (ICCV), 8330-8340, IEEE, October 2021 (Published) DOI BibTeX
Empirical Inference Conference Paper Self-Supervised 3D Face Reconstruction via Conditional Estimation Wen, Y., Liu, W., Raj, B., Singh, R. IEEE/CVF International Conference on Computer Vision (ICCV), 13269-13278, IEEE, October 2021 (Published) DOI BibTeX
Empirical Inference Software Workshop Movement Generation and Control Article The o80 C++ templated toolbox: Designing customized Python APIs for synchronizing realtime processes Berenz, V., Naveau, M., Widmaier, F., Wüthrich, M., Passy, J., Guist, S., Büchler, D. Journal of Open Source Software, 6(66), October 2021 (Published) DOI URL BibTeX
Empirical Inference Master Thesis Training with Few to Manipulate Many. On OOD generalization in relational reinforcement learning Mambelli, D. ETH Zurich, Switzerland, October 2021 (Published) BibTeX
Empirical Inference Article Weakly supervised segmentation of tumor lesions in PET-CT hybrid imaging Früh, M., Fischer, M., Schilling, A., Gatidis, S., Hepp, T. Journal of Medical Imaging, 8(5), SPIE, October 2021 (Published) DOI BibTeX
Empirical Inference Conference Paper e-ViL: A Dataset and Benchmark for Natural Language Explanations in Vision-Language Tasks Maxime Kayser, O. C. O., Salewski, L., Emde, C., Do, V., Akata, Z., Lukasiewicz, T. 2021 IEEE/CVF International Conference on Computer Vision (ICCV), 1224-1234, IEEE, IEEE/CVF International Conference on Computer Vision (ICCV 2021) , October 2021 (Published) DOI URL BibTeX
Empirical Inference Ph.D. Thesis A Large Scale Brain-Computer Interface for Patients with Neurological Diseases Hohmann, M. University of Tübingen, Germany, September 2021 (Published) BibTeX
Empirical Inference Ph.D. Thesis Deep Learning Beyond The Training Distribution Parascandolo, G. ETH Zürich, Switzerland, Zürich, September 2021, (CLS Fellowship Program) (Published) DOI BibTeX
Empirical Inference Article Deep learning enables fast and dense single-molecule localization with high accuracy Speiser*, A., Müller*, L., Hoess, P., Matti, U., Obara, C. J., Legant, W. R., Kreshuk, A., Macke, J. H., Ries, J., Turaga, S. C. Nature Methods, 18:1082-1090, Nature Publishing Group, New York, NY, September 2021, *equal contribution (Published) bioRxiv DOI URL BibTeX
Empirical Inference Article Detection of diabetes from whole-body MRI using deep learning Dietz*, B., Machann*, J., Agrawal, V., Heni, M., Schwab, P., Dienes, J., Reichert, S., Birkenfeld, A. L., Häring, H., Schick, F., et al. JCI Insight, 6(21), September 2021, *equal contribution (Published) DOI URL BibTeX
Empirical Inference Conference Paper Estimation of Spontaneous Transient Dynamics based on Peri-event Data Shao, K., Logothetis, N. K., Besserve, M. Bernstein Conference 2021, September 2021 (Published) DOI BibTeX
Empirical Inference Conference Paper Generalized phase locking analysis: a multivariate technique for investigating spike-field coupling Safavi, S., Panagiotaropoulos, T. I., Kapoor, V., Ramirez-Villegas, J. F., Logothetis, N. K., Besserve, M. Bernstein Conference 2021, September 2021 (Published) DOI BibTeX
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 Article Uncertainty estimation and explainability in deep learning-based age estimation of the human brain: Results from the German National Cohort MRI study Hepp, T., Blum, D., Armanious, K., Schölkopf, B., Stern, D., Yang, B., Gatidis, S. Computerized Medical Imaging and Graphics, 92, New York, NY, September 2021 (Published) DOI URL BibTeX
Empirical Inference Conference Paper Uncertainty-Guided Progressive GANs for Medical Image Translation Upadhyay, U., Chen, Y., Hepp, T., Gatidis, S., Akata, Z. International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), 12903:614-624, Lecture Notes in Computer Science, (Editors: Marleen de Bruijne etal.), Springer, International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), September 2021 (Published) DOI BibTeX
Empirical Inference Conference Paper Boosting Variational Inference With Locally Adaptive Step-Sizes Dresdner, G., Shekhar, S., Pedregosa, F., Locatello, F., Rätsch, G. Proceedings of the 30th International Joint Conference on Artificial Intelligence (IJCAI), 2337-2343, (Editors: Zhi-Hua Zhou), August 2021 (Published) arXiv DOI BibTeX