Publications

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 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

Empirical Inference Conference Paper How Good Is NLP? A Sober Look at NLP Tasks through the Lens of Social Impact Jin, Z., Chauhan, G., Tse, B., Sachan, M., Mihalcea, R. 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (ACL-IJCNLP), :3099-3113, Findings of ACL, (Editors: Chengqing Zong and Fei Xia and Wenjie Li and Roberto Navigli), Association for Computational Linguistics, August 2021, also accepted at 1st Workshop on NLP for Positive Impact@ACL-IJCNLP (Published) PDF DOI BibTeX

Empirical Inference Proceedings Proceedings of the 1st Workshop on NLP for Positive Impact Field, A., Prabhumoye, S., Sap, M., Jin, Z., Zhao, J., Brockett, C. Association for Computational Linguistics, August 2021 (Published) URL BibTeX

Empirical Inference Conference Paper A Gradient Based Strategy for Hamiltonian Monte Carlo Hyperparameter Optimization Campbell*, A., Chen*, W., Stimper*, V., Hernández-Lobato, J. M., Y., Z. Proceedings of 38th International Conference on Machine Learning (ICML), 139:1238-1248, Proceedings of Machine Learning Research, (Editors: Meila, Marina and Zhang, Tong), PMLR, July 2021, *equal contribution (Published) URL BibTeX

Empirical Inference Article Age-Net: An MRI-Based Iterative Framework for Brain Biological Age Estimation Armanious, K., Abdulatif, S., Shi, W., Salian, S., Kustner, T., Weiskopf, D., Hepp, T., Gatidis, S., Yang, B. IEEE Transactions on Medical Imaging, 40(7):1778-1791, IEEE, July 2021 (Published) DOI URL BibTeX

Empirical Inference Conference Paper Algorithmic recourse in partially and fully confounded settings through bounding counterfactual effects von Kügelgen, J., Agarwal, N., Zeitler, J., Mastouri, A., Schölkopf, B. ICML 2021 Workshop on Algorithmic Recourse, July 2021 (Published) arXiv URL BibTeX

Empirical Inference Conference Paper An Empirical Analysis of Measure-Valued Derivatives for Policy Gradients Carvalho, J., Tateo, D., Muratore, F., Peters, J. International Joint Conference on Neural Networks (IJCNN), :1-10, IEEE, Piscataway, NJ, July 2021 (Published) DOI BibTeX

Empirical Inference Conference Paper Bayesian Deep Learning via Subnetwork Inference Daxberger, E., Nalisnick, E., Allingham, J., Antorán, J., Hernández-Lobato, J. M. In Proceedings of 38th International Conference on Machine Learning (ICML), 139:2510-2521, Proceedings of Machine Learning Research, (Editors: Meila, Marina and Zhang, Tong), PMLR, 38th International Conference on Machine Learning (ICML 2021), July 2021 (Published) URL BibTeX

Empirical Inference Conference Paper Bayesian Quadrature on Riemannian Data Manifolds Fröhlich, C., Gessner, A., Hennig, P., Schölkopf, B., Arvanitidis, G. Proceedings of 38th International Conference on Machine Learning (ICML), 139:3459-3468, Proceedings of Machine Learning Research, (Editors: Meila, Marina and Zhang, Tong), PMLR, July 2021 (Published) URL BibTeX

Empirical Inference Conference Paper Causal Curiosity: RL Agents Discovering Self-supervised Experiments for Causal Representation Learning Sontakke, S., Mehrjou, A., Itti, L., Schölkopf, B. Proceedings of 38th International Conference on Machine Learning (ICML), 139:9848-9858, Proceedings of Machine Learning Research, (Editors: Meila, Marina and Zhang, Tong), PMLR, July 2021 (Published) URL BibTeX

Empirical Inference Conference Paper Composable Energy Policies for Reactive Motion Generation and Reinforcement Learning Urain, J., Anqi, L., Puze, L., D’eramo, C., Peters, J. Robotics: Science and Systems XVII (R:SS 2021), (Editors: Dylan A. Shell and Marc Toussaint and M. Ani Hsieh), July 2021 (Published) DOI BibTeX

Empirical Inference Conference Paper Conditional Distributional Treatment Effect with Kernel Conditional Mean Embeddings and U-Statistic Regression Park, J., Shalit, U., Schölkopf, B., Muandet, K. Proceedings of 38th International Conference on Machine Learning (ICML), 139:8401-8412, Proceedings of Machine Learning Research, (Editors: Meila, Marina and Zhang, Tong), PMLR, July 2021 (Published) URL BibTeX

Empirical Inference Conference Paper Convex Regularization in Monte-Carlo Tree Search Dam, T., D’Eramo, C., Peters, J., J., P. Proceedings of 38th International Conference on Machine Learning (ICML), 139:2365-2375, Proceedings of Machine Learning Research, (Editors: Meila, Marina and Zhang, Tong), PMLR, July 2021 (Published) URL BibTeX

Empirical Inference Conference Paper Descending through a Crowded Valley - Benchmarking Deep Learning Optimizers Schmidt, R. M., Schneider, F., Hennig, P. Proceedings of 38th International Conference on Machine Learning (ICML), 139:9367-9376, Proceedings of Machine Learning Research, (Editors: Meila, Marina and Zhang, Tong), PMLR, July 2021 (Published) 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 High-Dimensional Gaussian Process Inference with Derivatives de Ross, F., Gessner, A., Hennig, P. Proceedings of 38th International Conference on Machine Learning (ICML), 139:2535-2545, Proceedings of Machine Learning Research, (Editors: Meila, Marina and Zhang, Tong), PMLR, The 38th International Conference on Machine Learning (ICML 2021), July 2021 (Published) URL BibTeX

Empirical Inference Conference Paper Kernel Two-Sample and Independence Tests for Non-Stationary Random Processes Laumann, F., von Kügelgen, J., Barahona, M. 7th International Conference on Time Series and Forecasting (ITISE 2021), July 2021 (Published) arXiv BibTeX

Empirical Inference Conference Paper Learnable Uncertainty under Laplace Approximations Kristiadi, A., Hein, M., Hennig, P. 37th International Conference on Uncertainty in Artificial Intelligence (UAI), 161:344-353, Proceedings of Machine Learning Research, (Editors: Cassio P. de Campos and Marloes H. Maathuis and Erik Quaeghebeur), AUAI Press, July 2021 (Published) URL BibTeX

Empirical Inference Conference Paper Learning Riemannian Manifolds for Geodesic Motion Skills Beik-Mohammadi, H., Hauberg, S., Arvanitidis, G., Neumann, G., Rozo, L. Robotics: Science and Systems XVII , (Editors: Dylan A. Shell and Marc Toussaint and M. Ani Hsieh), Robotics: Science and Systems 2021 (RSS 2021) , July 2021, * best student paper award (Published) DOI URL BibTeX

Empirical Inference Conference Paper Lie interventions in complex systems with cycles Besserve, M., Schölkopf, B. ICML 2021 Workshop on Neglected Assumptions in Causal Inference, July 2021 (Published) URL BibTeX

Empirical Inference Conference Paper Necessary and sufficient conditions for causal feature selection in time series with latent common causes Mastakouri, A. A., Schölkopf, B., Janzing, D. Proceedings of 38th International Conference on Machine Learning (ICML), 139:7502-7511, Proceedings of Machine Learning Research, (Editors: Meila, Marina and Zhang, Tong), PMLR, July 2021 (Published) arXiv URL BibTeX

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