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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 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 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 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 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 visual 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 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 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
Empirical Inference Conference Paper Flow Matching for Scalable Simulation-Based Inference Wildberger*, J., Dax*, M., Buchholz*, S., Green, S. R., Macke, J. H., Schölkopf, B. Advances in Neural Information Processing Systems 36 (NeurIPS 2023), 36:16837-16864, (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 Generalized Bayesian Inference for Scientific Simulators via Amortized Cost Estimation Gao*, R., Deistler*, M., Macke, J. H. Advances in Neural Information Processing Systems 36 (NeurIPS 2023), 36:80191-80219, (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 Kronecker-Factored Approximate Curvature for Modern Neural Network Architectures Eschenhagen, R., Immer, A., Turner, R., Schneider, F., Hennig, P. Advances in Neural Information Processing Systems 36 (NeurIPS 2023), 36:33624-33655, (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 Learning Endogenous Representation in Reinforcement Learning via Advantage Estimation Pan, H., Schölkopf, B. Causal Representation Learning Workshop at NeurIPS 2023, December 2023 (Published) URL BibTeX
Empirical Inference Conference Paper Learning Layer-wise Equivariances Automatically using Gradients van der Ouderaa, T., Immer, A., van der Wilk, M. Advances in Neural Information Processing Systems 36 (NeurIPS 2023), 36:28365-28377, (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 Learning Linear Causal Representations from Interventions under General Nonlinear Mixing Buchholz*, S., Rajendran*, G., Rosenfeld, E., Aragam, B., Schölkopf, B., Ravikumar, P. Advances in Neural Information Processing Systems 36 (NeurIPS 2023), 36:45419-45462, (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 Meta-learning families of plasticity rules in recurrent spiking networks using simulation-based inference Confavreux*, B., Ramesh*, P., Goncalves, P. J., Macke, J. H., Vogels, T. P. Advances in Neural Information Processing Systems 36 (NeurIPS 2023), 36:13545-13558, (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 Article Multimodal learning in clinical proteomics: enhancing antimicrobial resistance prediction models with chemical information Visonà, G., Duroux, D., Miranda, L., Sükei, E., Li, Y., Borgwardt, K., Oliver, C. Bioinformatics, 39(12), December 2023 (Published) DOI BibTeX
Empirical Inference Conference Paper Neural Harmonics: Bridging Spectral Embedding and Matrix Completion in Self-Supervised Learning Munkhoeva, M., Oseledets, I. Advances in Neural Information Processing Systems 36 (NeurIPS 2023), 36:60712-60723, (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 Nonparametric Identifiability of Causal Representations from Unknown Interventions von Kügelgen, J., Besserve, M., Liang, W., Gresele, L., Kekić, A., Bareinboim, E., Blei, D., Schölkopf, B. Advances in Neural Information Processing Systems 36 (NeurIPS 2023), 36:48603-48638, (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 Nonparametric Teaching for Multiple Learners Zhang, C., Cao, X., Liu, W., Tsang, I. W., Kwok, J. T. In Advances in Neural Information Processing Systems 36 (NeurIPS 2023), 36:7756-7786, (Editors: A. Oh and T. Naumann 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 On the Importance of Step-wise Embeddings for Heterogeneous Clinical Time-Series Kuznetsova*, R., Pace*, A., Burger*, M., Yèche, H., Rätsch, G. Proceedings of the 3rd Machine Learning for Health Symposium (ML4H) , 225:268-291, Proceedings of Machine Learning Research, (Editors: Hegselmann, S.and Parziale, A. and Shanmugam, D. and Tang, S. and Asiedu, M. N. and Chang, S. and Hartvigsen, T. and Singh, H.), PMLR, December 2023, *equal contribution (Published) URL BibTeX
Empirical Inference Conference Paper SE(3) Equivariant Augmented Coupling Flows Midgley*, L. I., Stimper*, V., Antorán*, J., Mathieu*, E., Schölkopf, B., Hernández-Lobato, J. M. Advances in Neural Information Processing Systems 36 (NeurIPS 2023), 36:79200-79225, (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) arXiv URL BibTeX
Empirical Inference Conference Paper Sampling from Gaussian Process Posteriors using Stochastic Gradient Descent Lin*, J. A., Antorán*, J., Padhy*, S., Janz, D., Hernández-Lobato, J. M., Terenin, A. Advances in Neural Information Processing Systems 36 (NeurIPS 2023), 36:36886-36912, (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