Publications

Empirical Inference Conference Paper Probabilistic Compositional Embeddings for Multimodal Image Retrieval Neculai, A., Chen, Y., Akata, Z. IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 4546-4556, IEEE, June 2022 (Published) DOI BibTeX

Empirical Inference Conference Paper Revisiting Random Channel Pruning for Neural Network Compression Li, Y., Adamczewski, K., Li, W., Gu, S., Timofte, R., Van Gool, L. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 191-201, EEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2022) , June 2022 (Published) arXiv DOI URL BibTeX

Empirical Inference Article T2 mapping for the characterization of prostate lesions Hepp, T., Kalmbach, L., Kolb, M., Martirosian, P., Hilbert, T., Thaiss, W. M., Notohamiprodjo, M., Bedke, J., Nikolaou, K., Stenzl, A., et al. World Journal of Urology, 40(6):1455–1461, June 2022 (Published) DOI BibTeX

Empirical Inference Conference Paper Towards Principled Disentanglement for Domain Generalization Zhang, H., Zhang, Y., Liu, W., Weller, A., Schölkopf, B., Xing, E. Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 8024-8034, June 2022 (Published) arXiv URL BibTeX

Empirical Inference Conference Paper Uniform Priors for Data-Efficient Learning Sinha, S., Roth, K., Goyal, A., Ghassemi, M., Akata, Z., Larochelle, H., Garg, A. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 4016-4027, IEEE, IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW 2022), June 2022 (Published) DOI BibTeX

Empirical Inference Conference Paper VGSE: Visually-Grounded Semantic Embeddings for Zero-Shot Learning Xu, W., Xian, Y., Wang, J., Schiele, B., Akata, Z. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 9316-9325, IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2022), June 2022 (Published) arXiv DOI URL BibTeX

Empirical Inference Article Attribute Prototype Network for Any-Shot Learning Xu, W., Xian, Y., Wang, J., Schiele, B., Akata, Z. International Journal of Computer Vision, 130(7):1735-1753, May 2022 (Published) DOI BibTeX

Empirical Inference Article Complex interlinkages, key objectives and nexuses amongst the Sustainable Development Goals and climate change: a network analysis Laumann, F., von Kügelgen, J., Kanashiro Uehara, T. H., Barahona, M. The Lancet Planetary Health, 6(5):e422-e430, May 2022 (Published) DOI BibTeX

Empirical Inference Conference Paper Slangvolution: A Causal Analysis of Semantic Change and Frequency Dynamics in Slang Keidar*, D., Opedal*, A., Jin, Z., Sachan, M. Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (ACL), 1:1422-1442, (Editors: Smaranda Muresan and Preslav Nakov and Aline Villavicencio), Association for Computational Linguistics, May 2022, *equal contribution (Published) arXiv URL BibTeX

Empirical Inference Article The unpopular Package: A Data-driven Approach to Detrending TESS Full-frame Image Light Curves Hattori, S., Foreman-Mackey, D., Hogg, D. W., Montet, B. T., Angus, R., Pritchard, T. A., Curtis, J. L., Schölkopf, B. The Astronomical Journal, 163(6), May 2022 (Published) arXiv DOI URL BibTeX

Empirical Inference Conference Paper Adversarial Robustness Through the Lens of Causality Zhang, Y., Gong, M., Liu, T., Niu, G., Tian, X., Han, B., Schölkopf, B., Zhang, K. The Tenth International Conference on Learning Representations (ICLR 2022), International Conference on Learning Representations (ICLR 2022), April 2022 (Published) arXiv URL BibTeX

Empirical Inference Conference Paper Cause-effect inference through spectral independence in linear dynamical systems: theoretical foundations Besserve, M., Shajarisales, N., Janzing, D., Schölkopf, B. Proceedings of the First Conference on Causal Learning and Reasoning, 177:110-143, Proceedings of Machine Learning Research, (Editors: Schölkopf, Bernhard and Uhler, Caroline and Zhang, Kun), PMLR, 1st Conference on Causal Learning and Reasoning (CLeaR 2022), April 2022 (Published) PDF URL BibTeX

Empirical Inference Conference Paper Coordination Among Neural Modules Through a Shared Global Workspace Goyal, A., Didolkar, A. R., Lamb, A., Badola, K., Ke, N. R., Rahaman, N., Binas, J., Blundell, C., Mozer, M. C., Bengio, Y. The Tenth International Conference on Learning Representations (ICLR 2022), 10th International Conference on Learning Representations (ICLR), April 2022 (Published) URL BibTeX

Empirical Inference Conference Paper Evaluating Model-Based Planning and Planner Amortization for Continuous Control Byravan, A., Hasenclever, L., Trochim, P., Mirza, M., Ialongo, A. D., Tassa, Y. A. J. T., Abdolmaleki, A., Heess, N., Merel, J., Riedmiller, M. 10th International Conference on Learning Representations (ICLR), April 2022 (Published) URL BibTeX

Empirical Inference Conference Paper GATSBI: Generative Adversarial Training for Simulation-Based Inference Ramesh, P., Lueckmann, J., Boelts, J., Tejero-Cantero, A., Greenberg, D. S., Goncalves, P. J., Macke, J. H. The Tenth International Conference on Learning Representations (ICLR 2022), 10th International Conference on Learning Representations (ICLR 2022), April 2022 (Published) URL BibTeX

Empirical Inference Conference Paper Group equivariant neural posterior estimation Dax, M., Green, S. R., Gair, J., Deistler, M., Schölkopf, B., Macke, J. H. 10th International Conference on Learning Representations (ICLR), April 2022 (Published) URL BibTeX

Empirical Inference Conference Paper Hidden Parameter Recurrent State Space Models For Changing Dynamics Scenarios Shaj, V., Büchler, D., Sonker, R., Becker, P., Neumann, G. 10th International Conference on Learning Representations (ICLR), April 2022 (Published) URL BibTeX

Empirical Inference Conference Paper Invariant Causal Representation Learning for Out-of-Distribution Generalization Lu, C., Wu, Y., Hernández-Lobato, J. M., Schölkopf, B. 10th International Conference on Learning Representations (ICLR), April 2022 (Published) URL BibTeX

Empirical Inference Article Listening to Bluetooth beacons for epidemic risk mitigation Barthe, G., De Viti, R., Druschel, P., Garg, D., Gomez-Rodriguez, M., Ingo, P., Kremer, H., Lentz, M., Lorch, L., Mehta, A., et al. Scientific Reports, 12(1):article no. 5558, April 2022 (Published) medRxiv DOI BibTeX

Empirical Inference Conference Paper POETREE: Interpretable Policy Learning with Adaptive Decision Trees Pace, A., Chand, A., van der Schaar, M. 10th International Conference on Learning Representations (ICLR) , April 2022 (Published) URL BibTeX

Empirical Inference Conference Paper Phenomenology of Double Descent in Finite-Width Neural Networks Singh, S. P., Lucchi, A., Hofmann, T., Schölkopf, B. The Tenth International Conference on Learning Representations (ICLR 2022), International Conference on Learning Representations, April 2022 (Published) URL BibTeX

Empirical Inference Conference Paper Pre-training Molecular Graph Representation with 3D Geometry Liu, S., Wang, H., Liu, W., Lasenby, J., Guo, H., Tang, J. The Tenth International Conference on Learning Representations (ICLR 2022), 10th International Conference on Learning Representations (ICLR), April 2022 (Published) URL BibTeX

Empirical Inference Proceedings Proceedings of the First Conference on Causal Learning and Reasoning (CLeaR 2022) Schölkopf, B., Uhler, C., Zhang, K. 177, Proceedings of Machine Learning Research, PMLR, April 2022 (Published) URL BibTeX

Empirical Inference Conference Paper Source-Free Adaptation to Measurement Shift via Bottom-Up Feature Restoration Eastwood, C., Mason, I., Williams, C., Schölkopf, B. 10th International Conference on Learning Representations (ICLR), April 2022 (Published) arXiv URL BibTeX

Empirical Inference Conference Paper SphereFace2: Binary Classification is All You Need for Deep Face Recognition Wen*, Y., Liu*, W., Weller, A., Raj, B., Singh, R. 10th International Conference on Learning Representations (ICLR), April 2022, *equal contribution (Published) URL BibTeX

Empirical Inference Conference Paper The Role of Pretrained Representations for the OOD Generalization of RL Agents Träuble*, F., Dittadi*, A., Wüthrich, M., Widmaier, F., Gehler, P., Winther, O., Locatello, F., Bachem, O., Schölkopf, B., Bauer, S. The Tenth International Conference on Learning Representations (ICLR 2022), International Conference on Learning Representations (ICLR 2022), April 2022, *equal contribution (Published) URL BibTeX

Empirical Inference Conference Paper Variational methods for simulation-based inference Glöckler, M., Deistler, M., Macke, J. H. International Conference on Learning Representations (ICLR 2022), 10th International Conference on Learning Representations (ICLR), April 2022 (Published) URL BibTeX

Empirical Inference Conference Paper Visual Representation Learning Does Not Generalize Strongly Within the Same Domain Schott, L., von Kügelgen, J., Träuble, F., Gehler, P., Russell, C., Bethge, M., Schölkopf, B., Locatello, F., Brendel, W. The Tenth International Conference on Learning Representations (ICLR 2022), 10th International Conference on Learning Representations (ICLR), April 2022 (Published) URL BibTeX

Empirical Inference Conference Paper You Mostly Walk Alone: Analyzing Feature Attribution in Trajectory Prediction Makansi, O., von Kügelgen, J., Locatello, F., Gehler, P., Janzing, D., Brox, T., Schölkopf, B. 10th International Conference on Learning Representations (ICLR), April 2022 (Published) arXiv URL BibTeX

Statistical Learning Theory Empirical Inference Conference Paper A Bandit Model for Human-Machine Decision Making with Private Information and Opacity Bordt, S., von Luxburg, U. In Proceedings of the 25th International Conference on Artificial Intelligence and Statistics (AISTATS), 151:7300-7319, Proceedings of Machine Learning Research, (Editors: Camps-Valls, Gustau and Ruiz, Francisco J. R. and Valera, Isabel), PMLR, March 2022 (Published) URL BibTeX

Empirical Inference Conference Paper A Witness Two-Sample Test Kübler, J. M., Jitkrittum, W., Schölkopf, B., Muandet, K. Proceedings of the 25th International Conference on Artificial Intelligence and Statistics (AISTATS), 151:1403-1419, Proceedings of Machine Learning Research, (Editors: Camps-Valls, Gustau and Ruiz, Francisco J. R. and Valera, Isabel), PMLR, March 2022 (Published) arXiv URL BibTeX

Empirical Inference Conference Paper A prior-based approximate latent Riemannian metric Arvanitidis, G., Georgiev, B., Schölkopf, B. Proceedings of the 25th International Conference on Artificial Intelligence and Statistics (AISTATS), 151:4634-4658, Proceedings of Machine Learning Research, (Editors: Camps-Valls, Gustau and Ruiz, Francisco J. R. and Valera, Isabel), PMLR, March 2022 (Published) arXiv URL BibTeX

Empirical Inference Conference Paper Adversarially Robust Kernel Smoothing Zhu, J., Kouridi, C., Nemmour, Y., Schölkopf, B. Proceedings of the 25th International Conference on Artificial Intelligence and Statistics, 151:4972-4994, Proceedings of Machine Learning Research, (Editors: Camps-Valls, Gustau and Ruiz, Francisco J. R. and Valera, Isabel), PMLR, 25th International Conference on Artificial Intelligence and Statistics (AISTATS 2022) , March 2022 (Published) arXiv URL BibTeX

Empirical Inference Conference Paper Being a Bit Frequentist Improves Bayesian Neural Networks Kristiadi, A., Hein, M., Hennig, P. Proceedings of the 25th International Conference on Artificial Intelligence and Statistics (AISTATS), 151:529-545, Proceedings of Machine Learning Research, (Editors: Camps-Valls, Gustau and Ruiz, Francisco J. R. and Valera, Isabel), PMLR, March 2022 (Published) URL BibTeX

Empirical Inference Article Deep Learning for Text Style Transfer: A Survey Jin, D., Jin, Z., Hu, Z., Vechtomova, O., Mihalcea, R. Computational Linguistics, 48(1):155-205, March 2022 (Published) arXiv DOI URL BibTeX

Empirical Inference Conference Paper Discovering Inductive Bias with Gibbs Priors: A Diagnostic Tool for Approximate Bayesian Inference Rendsburg, L., Kristiadi, A., Hennig, P., von Luxburg, U. Proceedings of the 25th International Conference on Artificial Intelligence and Statistics (AISTATS), 151:1503-1526, Proceedings of Machine Learning Research, (Editors: Camps-Valls, Gustau and Ruiz, Francisco J. R. and Valera, Isabel), PMLR, 25th International Conference on Artificial Intelligence and Statistics (AISTATS 2022), March 2022 (Published) URL BibTeX

Empirical Inference Conference Paper GalilAI: Out-of-Task Distribution Detection using Causal Active Experimentation for Safe Transfer RL Sontakke, S. A., Iota, S., Hu, Z., Mehrjou, A., Itti, L., Schölkopf, B. Proceedings of the 25th International Conference on Artificial Intelligence and Statistics (AISTATS), 151:7518-7530, Proceedings of Machine Learning Research, (Editors: Camps-Valls, Gustau and Ruiz, Francisco J. R. and Valera, Isabel), PMLR, March 2022 (Published) URL BibTeX

Empirical Inference Conference Paper Pick-and-Mix Information Operators for Probabilistic ODE Solvers Bosch, N., Tronarp, F., Hennig, P. Proceedings of the 25th International Conference on Artificial Intelligence and Statistics (AISTATS), 151:10015-10027, Proceedings of Machine Learning Research, (Editors: Camps-Valls, Gustau and Ruiz, Francisco J. R. and Valera, Isabel), PMLR, March 2022 (Published) URL BibTeX

Empirical Inference Conference Paper Probabilistic Numerical Method of Lines for Time-Dependent Partial Differential Equations Krämer, N., Schmidt, J., Hennig, P. Proceedings of the 25th International Conference on Artificial Intelligence and Statistics (AISTATS), 151:625-639, Proceedings of Machine Learning Research, (Editors: Camps-Valls, Gustau and Ruiz, Francisco J. R. and Valera, Isabel), PMLR, March 2022 (Published) URL BibTeX

Empirical Inference Conference Paper Provable Lifelong Learning of Representations Cao, X., Liu, W., Vempala, S. Proceedings of the 25th International Conference on Artificial Intelligence and Statistics (AISTATS), 151:6334-6356, Proceedings of Machine Learning Research, (Editors: Camps-Valls, Gustau and Ruiz, Francisco J. R. and Valera, Isabel), PMLR, March 2022 (Published) URL BibTeX

Empirical Inference Conference Paper Pulling back information geometry Arvanitidis, G., Gonzalez-Duque, M., Pouplin, A., Kalatzis, D., Hauberg, S. Proceedings of the 25th International Conference on Artificial Intelligence and Statistics (AISTATS), 151:4872-4894, Proceedings of Machine Learning Research, (Editors: Camps-Valls, Gustau and Ruiz, Francisco J. R. and Valera, Isabel), PMLR, March 2022 (Published) URL BibTeX

Empirical Inference Conference Paper Resampling Base Distributions of Normalizing Flows Stimper, V., Schölkopf, B., Hernández-Lobato, J. M. Proceedings of the 25th International Conference on Artificial Intelligence and Statistics (AISTATS), 151:4915-4936, Proceedings of Machine Learning Research, (Editors: Camps-Valls, Gustau and Ruiz, Francisco J. R. and Valera, Isabel), PMLR, 25th International Conference on Artificial Intelligence and Statistics (AISTATS 2022), March 2022 (Published) arXiv URL BibTeX

Empirical Inference Article Benchmark of Data Processing Methods and Machine Learning Models for Gut Microbiome-Based Diagnosis of Inflammatory Bowel Disease Kubinski, R., Djamen-Kepaou, J., Zhanabaev, T., Hernandez-Garcia, A., Bauer, S., Hildebrand, F., Korcsmaros, T., Karam, S., Jantchou, P., Kafi, K., et al. Frontiers in Genetics, 13:784397, February 2022 (Published) DOI BibTeX

Empirical Inference Probabilistic Learning Group Conference Paper On the Fairness of Causal Algorithmic Recourse von Kügelgen, J., Karimi, A., Bhatt, U., Valera, I., Weller, A., Schölkopf, B. Proceedings of the 36th AAAI Conference on Artificial Intelligence, 9:9584-9594, AAAI Press, Palo Alto, CA, Thirty-Sixth AAAI Conference on Artificial Intelligence (AAAI 2022), February 2022, *also at ICML 2021 Workshop Algorithmic Recourse and NeurIPS 2020 Workshop Algorithmic Fairness through the Lens of Causality and Interpretability (AFCI) (Published) arXiv DOI URL BibTeX

Empirical Inference Ph.D. Thesis Variational Inference in Dynamical Systems Ialongo, A. University of Cambridge, UK, Cambridge, February 2022, (Cambridge-Tübingen-Fellowship) (Published) BibTeX

Empirical Inference Article Benchmarking Structured Policies and Policy Optimization for Real-World Dexterous Object Manipulation Funk, N., Schaff, C., Madan, R., Yoneda, T., Urain, J., Watson, J., Gordon, E. K., Widmaier, F., Bauer, S., Srinivasa, S. S., et al. IEEE Robotics and Automation Letters (RA-L), 7(1):478-485, January 2022 (Published) arXiv DOI URL BibTeX

Empirical Inference Article Diagnostic benefit of multiparametric MRI over contrast-enhanced CT in patients with bladder cancer: A single-center 1-year experience Hagen, F., Norz, V., Thaiss, W. M., Mair, A., Rausch, S., Bedke, J., Nikolaou, K., Stenzl, A., Kruck, S., Hepp, T., et al. European Journal of Radiology, 146, January 2022 (Published) DOI BibTeX

Empirical Inference Article Human-Robot Handshaking: A Review Prasad, V., Stock-Homburg, R., Peters, J. International Journal of Social Robotics, 14:277-293, January 2022 (Published) DOI URL BibTeX

Empirical Inference Article Artificial Intelligence in Oncological Hybrid Imaging Feuerecker, B., Heimer, M., Geyer, T., Fabritius, M. P., Gu, S., Schachtner, B., Beyer, L., Ricke, J., Gatidis, S., Ingrisch, M., et al. RöFo, 195(2):105 - 114, 2022 (Published) DOI BibTeX

Empirical Inference Book Chapter CLEVR-X: A Visual Reasoning Dataset for Natural Language Explanations Salewski, L., Koepke, A. S., Lensch, H. P. A., Akata, Z. In xxAI - Beyond Explainable AI: International Workshop, Held in Conjunction with ICML 2020, July 18, 2020, Vienna, Austria, Revised and Extended Papers, 69-88, (Editors: Holzinger, Andreas and Goebel, Randy and Fong, Ruth and Moon, Taesup and Müller, Klaus-Robert and Samek, Wojciech), Springer International Publishing, 2022 (Published) DOI BibTeX

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