Publications

Empirical Inference Conference Paper Transformer Fusion with Optimal Transport Imfeld*, M., Graldi*, J., Giordano*, M., Hofmann, T., Anagnostidis, S., Singh, S. P. The Twelfth International Conference on Learning Representations (ICLR), May 2024, *equal contribution (Published) arXiv BibTeX

Empirical Inference Miscellaneous Evidence for eccentricity in the population of binary black holes observed by LIGO-Virgo-KAGRA Gupte, N., Ramos-Buades, A., Buonanno, A., Gair, J., Miller, M. C., Dax, M., Green, S. R., Pürrer, M., Wildberger, J., Macke, J. H., et al. April 2024 (Published) URL BibTeX

Empirical Inference Conference Paper PILLAR: How to make semi-private learning more effective Pinto, F., Hu, Y., Yang, F., Sanyal, A. 2nd IEEE Conference on Secure and Trustworthy Machine Learning (SaTML), 110-139, April 2024 (Published) DOI BibTeX

Empirical Inference Article SimReadUntil for benchmarking selective sequencing algorithms on ONT devices Mordig, M., Ratsch, G., Kahles, A. Bioinformatics, 40(5):btae199, April 2024 (Published) DOI URL BibTeX

Empirical Inference Article VIPurPCA: Visualizing and Propagating Uncertainty in Principal Component Analysis Zabel, S., Hennig, P., Nieselt, K. IEEE Transactions on Visualization and Computer Graphics, 30(4):2011-2022, April 2024 (Published) DOI BibTeX

Empirical Inference Poster Koopman Spectral Analysis Uncovers the Temporal Structure of Spontaneous Neural Events Shao, K., Xu, Y., Logothetis, N., Shen, Z., Besserve, M. Computational and Systems Neuroscience Meeting (COSYNE), March 2024 (Published) URL BibTeX

Empirical Inference Master Thesis Interpreting How Large Language Models Handle Facts and Counterfactuals through Mechanistic Interpretability Ortu, F. University of Trieste, Italy, March 2024 (Published) BibTeX

Empirical Inference Article Learning Graph Embeddings for Open World Compositional Zero-Shot Learning Mancini, M., Naeem, M. F., Xian, Y., Akata, Z. IEEE Transactions on Pattern Analysis and Machine Intelligence, 46(3):1545-1560, IEEE, New York, NY, March 2024 (Published) DOI BibTeX

Empirical Inference Poster LFP transient events in macaque subcortical areas reveal network coordination across scales and structures: a simultaneous fMRI-electrophysiology study Besserve, M., Safavi, S., Schölkopf, B., Logothetis, N. Computational and Systems Neuroscience Meeting (COSYNE), March 2024 (Published) URL BibTeX

Empirical Inference Ph.D. Thesis Identifiable Causal Representation Learning: Unsupervised, Multi-View, and Multi-Environment von Kügelgen, J. University of Cambridge, UK, Cambridge, February 2024, (Cambridge-Tübingen-Fellowship) (Published) URL BibTeX

Empirical Inference Conference Paper Inferring Atmospheric Properties of Exoplanets with Flow Matching and Neural Importance Sampling Gebhard, T. D., Wildberger, J., Dax, M., Angerhausen, D., Quanz, S. P., Schölkopf, B. 3rd Annual AAAI Workshop on AI to Accelerate Science and Engineering (AI2ASE), February 2024 (Published) arXiv URL BibTeX

Empirical Inference Ph.D. Thesis Methods for Generative Modeling and Interpretable Classification with Strong Differential Privacy Harder, F. University of Tübingen, Germany, February 2024, IMPRS-PhD-Program (Published) URL BibTeX

Empirical Inference Article Network propagation for GWAS analysis: a practical guide to leveraging molecular networks for disease gene discovery Visonà, G., Bouzigon, E., Demenais, F., Schweikert, G. Briefings in Bioinformatics, 25(2), January 2024 (Published) DOI BibTeX

Empirical Inference Article Trained recurrent neural networks develop phase-locked limit cycles in a working memory task Pals, M., Macke, J. H., Barak, O. PLOS Computational Biology, 20(2), February 2024 (Published) DOI BibTeX

Empirical Inference Conference Paper Multi-channel free space optical convolutions with incoherent light Song, A., Kottapalli, S. N. M., Schölkopf, B., Fischer, P. AI and Optical Data Sciences V, PC12903:PC129030I, (Editors: Ken-ichi Kitayama and Volker J. Sorger), SPIE, January 2024 (Published) DOI BibTeX

Empirical Inference Optics and Sensing Laboratory Conference Paper Polarization-based non-linear deep diffractive neural networks Kottapalli, S. N. M., Schlieder, L., Song, A., Volchkov, V., Schölkopf, B., Fischer, P. AI and Optical Data Sciences V, PC12903:PC129030B, (Editors: Ken-ichi Kitayama and Volker J. Sorger), SPIE, January 2024 (Published) DOI BibTeX

Empirical Inference Article Pre-treatment 18F-FDG-PET/CT parameters as biomarkers for progression free survival, best overall response and overall survival in metastatic melanoma patients undergoing first-line immunotherapy Peisen, F., Gerken, A., Dahm, I., Nikolaou, K., Eigentler, T., Amaral, T., Moltz, J. H., Othman, A. E., Gatidis, S. PLOS ONE, 19(1), January 2024 (Published) DOI BibTeX

Empirical Inference Article Towards fully covariant machine learning Villar, S., Hogg, D. W., Yao, W., Kevrekidis, G. A., Schölkopf, B. Transactions on Machine Learning Research, January 2024 (Published) URL BibTeX

Empirical Inference Miscellaneous Learning Interpretable Concepts: Unifying Causal Representation Learning and Foundation Models Rajendran, G., Buchholz, S., Aragam, B., Schölkopf, B., Ravikumar, P. 2024 (Published) arXiv BibTeX

Empirical Inference Miscellaneous Multi-Armed Bandits and Quantum Channel Oracles Buchholz, S., Kübler, J. M., Schölkopf, B. 2024 (Published) arXiv BibTeX

Empirical Inference Article Optimal Decision Making Under Strategic Behavior Tsirtsis, S., Tabibian, B., Khajehnejad, M., Singla, A., Schölkopf, B., Gomez-Rodriguez, M. Management Science, 2024, Published Online (In press) DOI BibTeX

Empirical Inference Article Parameterizing pressure-temperature profiles of exoplanet atmospheres with neural networks Gebhard, T. D., Angerhausen, D., Konrad, B. S., Alei, E., Quanz, S. P., Schölkopf, B. Astronomy & Astrophysics, 681, 2024 (Published) DOI BibTeX

Empirical Inference Article Use the 4S (Signal-Safe Speckle Subtraction): Explainable Machine Learning reveals the Giant Exoplanet AF Lep b in High-Contrast Imaging Data from 2011 Bonse, M. J., Gebhard, T. D., Dannert, F. A., Absil, O., Cantalloube, F., Christiaens, V., Cugno, G., Garvin, E. O., Hayoz, J., Kasper, M., et al. The Astronomical Journal, 2024 (Accepted) arXiv BibTeX

Empirical Inference Article A phenomenological account for causality in terms of elementary actions Janzing, D., Garrido Mejia, S. Journal of Causal Inference, 12(1), 2024 (Published) DOI URL BibTeX

Empirical Inference Article A temperate super-Jupiter imaged with JWST in the mid-infrared Matthews, E. C., Carter, A. L., Pathak, P., Morley, C. V., Phillips, M. W., S. Krishanth, P. M., Feng, F., Bonse, M. J., Boogaard, L. A., Burt, J. A., et al. Nature, 633:789–792, 2024 (Published) DOI URL BibTeX

Empirical Inference Master Thesis Algorithmic Compositional Learning of Language Models Thomm, J. ETH Zurich, Switzerland, April 2024 (Published) BibTeX

Empirical Inference Conference Paper Alien Recombination: Exploring Concept Blends Beyond Human Cognitive Availability in Visual Art Hernandez, A., Brinkmann, L., Serna, I., Rahaman, N., Alhaija, H. A., Yakura, H., Sola, M. C., Schölkopf, B., Rahwan, I. NeurIPS 2024 Workshop on Creativity and Generative AI, December 2024 (Published) arXiv BibTeX

Empirical Inference Master Thesis Alien Recombination: Exploring Concept Blends Beyond Human Cognitive Availability in Visual Art Hernandez, A. Technical University of Munich, Germany, September 2024 (Published) BibTeX

Empirical Inference Miscellaneous Analyzing Human Questioning Behavior and Causal Curiosity through Natural Queries Ceraolo, R., Kharlapenko, D., Khan, A., Reymond, A., Mihalcea, R., Sachan, M., Schölkopf, B., Jin, Z. 2024 (Published) URL BibTeX

Empirical Inference Article Connectome-constrained networks predict neural activity across the fly\nvisual system Lappalainen, J. K., Tschopp, F. D., Prakhya, S., McGill, M., Nern, A., Shinomiya, K., Takemura, S., Gruntman, E., Macke, J. H., Turaga, S. C. Nature, 634:1132–1140, 2024 (Published) DOI URL BibTeX

Empirical Inference Conference Paper DeViL: Decoding Vision features into Language Dani, M., Rio-Torto, I., Alaniz, S., Akata, Z. In Lecture Notes in Computer Science, vol 14264, 363–377, 45th Annual Conference of the German-Association-for-Pattern-Recognition (DAGM GCPR), 2024 (Published) DOI URL BibTeX

Empirical Inference Conference Paper Exploring the Jungle of Bias: Political Bias Attribution in Language Models via Dependency Analysis Jenny*, D. F., Billeter*, Y., Schölkopf, B., Jin, Z. Proceedings of the Third Workshop on NLP for Positive Impact, 152-178, (Editors: Dementieva, Daryna and Ignat, Oana and Jin, Zhijing and Mihalcea, Rada and Piatti, Giorgio and Tetreault, Joel and Wilson, Steven and Zhao, Jieyu), Association for Computational Linguistics, November 2024, *equal contribution (Published) URL BibTeX

Empirical Inference Article How developments in natural language processing help us in understanding human behaviour Mihalcea, R., Biester, L., Boyd, R. L., Jin, Z., Perez-Rosas, V., Wilson, S., Pennebaker, J. W. Nature Human Behaviour, 8(10):1877-1889, Nature Publishing Group UK London, October 2024 (Published) DOI URL BibTeX

Empirical Inference Miscellaneous Language Model Alignment in Multilingual Trolley Problems Jin, Z., Levine, S., Kleiman-Weiner, M., Piatti, G., Liu, J., Gonzalez, F., Ortu, F., Strausz, A., Sachan, M., Mihalcea, R., et al. 2024 (Published) URL BibTeX

Empirical Inference Article Low-power scalable multilayer optoelectronic neural networks enabled with incoherent light Song, A., Kottapalli, S. N. M., Goyal, R., Schoelkopf, B., Fischer, P. Nature Communications, 15:10692, 2024 (Published) DOI URL BibTeX

Empirical Inference Article Neonatal apnea and hypopnea prediction in infants with Robin sequence with neural additive models for time series Vetter, J., Lim, K., Dijkstra, T. M. H., Dargaville, P. A., Kohlbacher, O., Macke, J. H., Poets, C. F. PLOS Health Digital, 3(12):e0000678, 2024 (Accepted) DOI URL BibTeX

Empirical Inference Conference Paper The Odyssey of Commonsense Causality: From Foundational Benchmarks to Cutting-Edge Reasoning Cui, S., Jin, Z., Schölkopf, B., Faltings, B. Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing (EMNLP), 16722-16763, (Editors: Al-Onaizan, Yaser and Bansal, Mohit and Chen, Yun-Nung), Association for Computational Linguistics, November 2024 (Published) URL BibTeX

Empirical Inference Conference Paper Waffling around for Performance: Visual Classification with Random Words and Broad Concepts Roth, K., Kim, J. M., Koepke, A. S., Vinyals, O., Schmid, C., Akata, Z. In Proceedings 2023 IEEE/CVF INTERNATIONAL CONFERENCE ON COMPUTER VISION (ICCV 2023), 15700-15711, 2023 IEEE/CVF INTERNATIONAL CONFERENCE ON COMPUTER VISION (ICCV 2023), 2024 (Published) DOI URL BibTeX

Empirical Inference Conference Paper Optimistic Active Exploration of Dynamical Systems Sukhija, B., Treven, L., Sancaktar, C., Blaes, S., Coros, S., Krause, A. In Advances in Neural Information Processing Systems 36 (NeurIPS 2023), 1-32, Curran Associates Inc. , NeurIPS, December 2023 (Published) DOI URL BibTeX

Empirical Inference Article Machine-Learning-Aided Prediction of Brain Metastases Development in Non-Small-Cell Lung Cancers Visonà, G., Spiller, L. M., Hahn, S., Hattingen, E., Vogl, T. J., Schweikert, G., Bankov, K., Demes, M., Reis, H., Wild, P., et al. Clinical lung cancer, 24(8):e311-e322, December 2023 (Published) DOI BibTeX

Empirical Inference Conference Paper A Measure-Theoretic Axiomatisation of Causality Park, J., Buchholz, S., Schölkopf, B., Muandet, K. Advances in Neural Information Processing Systems 36 (NeurIPS 2023), 36:28510-28540, (Editors: A. Oh and T. Neumann and A. Globerson and K. Saenko and M. Hardt and S. Levine), Curran Associates, Inc., 37th Annual Conference on Neural Information Processing Systems, December 2023 (Published) URL BibTeX

Empirical Inference Conference Paper Beyond Good Intentions: Reporting the Research Landscape of NLP for Social Good Gonzalez*, F., Jin*, Z., Schölkopf, B., Hope, T., Sachan, M., Mihalcea, R. Findings of the Association for Computational Linguistics: EMNLP 2023, 415-438, (Editors: Houda Bouamor and Juan Pino and Kalika Bali), Association for Computational Linguistics, December 2023, *equal contribution (Published) DOI BibTeX

Empirical Inference Conference Paper CLadder: Assessing Causal Reasoning in Language Models Jin*, Z., Chen*, Y., Leeb*, F., Gresele*, L., Kamal, O., Lyu, Z., Blin, K., Gonzalez, F., Kleiman-Weiner, M., Sachan, M., et al. Advances in Neural Information Processing Systems 36 (NeurIPS 2023), 36:31038-31065, (Editors: A. Oh and T. Neumann and A. Globerson and K. Saenko and M. Hardt and S. Levine), Curran Associates, Inc., 37th Annual Conference on Neural Information Processing Systems, December 2023, *main contributors (Published) URL BibTeX

Empirical Inference Conference Paper Can semi-supervised learning use all the data effectively? A lower bound perspective Tifrea*, A., Yüce*, G., Sanyal, A., Yang, F. Advances in Neural Information Processing Systems 36 (NeurIPS 2023), 36:21960-21982, (Editors: A. Oh and T. Neumann and A. Globerson and K. Saenko and M. Hardt and S. Levine), Curran Associates, Inc., 37th Annual Conference on Neural Information Processing Systems, December 2023, *equal contribution (Published) URL BibTeX

Empirical Inference Conference Paper Causal Component Analysis Liang, W., Kekić, A., von Kügelgen, J., Buchholz, S., Besserve, M., Gresele*, L., Schölkopf*, B. Advances in Neural Information Processing Systems 36 (NeurIPS 2023), 36:32481-32520, (Editors: A. Oh and T. Neumann and A. Globerson and K. Saenko and M. Hardt and S. Levine), Curran Associates, Inc., 37th Annual Conference on Neural Information Processing Systems, December 2023, *shared last author (Published) URL BibTeX

Empirical Inference Conference Paper Causal Modeling with Stationary Diffusions Lorch, L., Krause*, A., Schölkopf*, B. Causal Representation Learning Workshop at NeurIPS 2023, December 2023, *equal supervision (Published) URL BibTeX

Empirical Inference Conference Paper Causal de Finetti: On the Identification of Invariant Causal Structure in Exchangeable Data Guo*, S., Tóth*, V., Schölkopf, B., Huszár, F. Advances in Neural Information Processing Systems 36 (NeurIPS 2023), 36:36463-36475, (Editors: A. Oh and T. Neumann and A. Globerson and K. Saenko and M. Hardt and S. Levine), Curran Associates, Inc., 37th Annual Conference on Neural Information Processing Systems, December 2023, *equal contribution (Published) URL BibTeX

Empirical Inference Conference Paper Causal normalizing flows: from theory to practice Javaloy, A., Sanchez-Martin, P., Valera, I. In Advances in Neural Information Processing Systems 36 (NeurIPS 2023), 36:58833-58864, (Editors: A. Oh and T. Neumann and A. Globerson and K. Saenko and M. Hardt and S. Levine), Curran Associates, Inc., 37th Annual Conference on Neural Information Processing Systems, December 2023 (Published) URL BibTeX

Empirical Inference Perceiving Systems Conference Paper Controlling Text-to-Image Diffusion by Orthogonal Finetuning Qiu*, Z., Liu*, W., Feng, H., Xue, Y., Feng, Y., Liu, Z., Zhang, D., Weller, A., Schölkopf, B. In Advances in Neural Information Processing Systems 36 (NeurIPS 2023), 36:79320-79362, (Editors: A. Oh and T. Neumann and A. Globerson and K. Saenko and M. Hardt and S. Levine), Curran Associates, Inc., 37th Annual Conference on Neural Information Processing Systems , December 2023, *equal contribution (Published) Home Code URL BibTeX

Empirical Inference Master Thesis Denoising Representation Learning for Causal Discovery Sakenyte, U. Université de Genèva, Switzerland, December 2023, external supervision (Published) BibTeX

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