DEPARTMENTS

Emperical Interference

Haptic Intelligence

Modern Magnetic Systems

Perceiving Systems

Physical Intelligence

Robotic Materials

Social Foundations of Computation


Research Groups

Autonomous Vision

Autonomous Learning

Bioinspired Autonomous Miniature Robots

Dynamic Locomotion

Embodied Vision

Human Aspects of Machine Learning

Intelligent Control Systems

Learning and Dynamical Systems

Locomotion in Biorobotic and Somatic Systems

Micro, Nano, and Molecular Systems

Movement Generation and Control

Neural Capture and Synthesis

Physics for Inference and Optimization

Organizational Leadership and Diversity

Probabilistic Learning Group


Topics

Robot Learning

Conference Paper

2022

Autonomous Learning

Robotics

AI

Career

Award


Article Results from the autoPET challenge on fully automated lesion\nsegmentation in oncologic PET/CT imaging Gatidis, S., Frueh, M., Fabritius, M. P., Gu, S., Nikolaou, K., La Fougere, C., Ye, J., He, J., Peng, Y., Bi, L., et al. Nature Machine Intelligence, 6(11):1396–1405, 2024 (Published) DOI URL BibTeX

Autonomous Learning Conference Paper SENSEI: Semantic Exploration Guided by Foundation Models to Learn Versatile World Models Sancaktar, C., Gumbsch, C., Zadaianchuk, A., Kolev, P., Martius, G. In The Training Agents with Foundation Models Workshop at RLC, 2024, indicates equal contribution (Published) URL BibTeX

Safety- and Efficiency- aligned Learning Conference Paper Spotting LLMs With Binoculars: Zero-Shot Detection of Machine-Generated Text Hans, A., Schwarzschild, A., Cherepanova, V., Kazemi, H., Saha, A., Goldblum, M., Geiping, J., Goldstein, T. In Proceedings of Machine Learning Research, Proceedings of the Forty-First International Conference on Machine Learning , Forty-First International Conference on Machine Learning , 2024 (Published) URL BibTeX

Perceiving Systems Conference Paper TADA! Text to Animatable Digital Avatarse Liao, T., Yi, H., Xiu, Y., Tang, J., Huang, Y., Thies, J., Black, M. J. In Proceedings 2024 INTERNATIONAL CONFERENCE IN 3D VISION, 3DV 2024, :1508-1519, 2024 INTERNATIONAL CONFERENCE IN 3D VISION, 3DV, 2024 (Published) DOI URL BibTeX

Conference Paper Terminating Differentiable Tree Experts Jonathan Thomm, M. H. G. C. A. T. B. S. &. A. R. In 2024 (Published) 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

Learning and Dynamical Systems Article Toward a Systems Theory of Algorithms Doerfler, F., He, Z., Belgioioso, G., Bolognani, S., Lygeros, J., Muehlebach, M. IEEE CONTROL SYSTEMS LETTERS, 8:1198 - 1210, 2024 (Published) DOI URL BibTeX

Safety- and Efficiency- aligned Learning Conference Paper Transformers Can Do Arithmetic with the Right Embeddings McLeish, S. M., Bansal, A., Stein, A., Jain, N., Kirchenbauer, J., Bartoldson, B. R., Kailkhura, B., Bhatele, A., Geiping, J., Schwarzschild, A., et al. In Proceedings of the Thirty-Eighth Annual Conference on Neural Information Processing Systems, Thirty-Eighth Annual Conference on Neural Information Processing Systems, 2024 (Published) URL BibTeX

Robust Machine Learning Article Translational symmetry in convolutions with localized kernels causes an implicit bias toward high frequency adversarial examples Caro, J. O., Ju, Y., Pyle, R., Dey, S., Brendel, W., Anselmi, F., Patel, A. B. Frontiers in Computational Neuroscience, 18:1387077, June 2024 (Published) Frontiers in Computational Neuroscience BibTeX

Perceiving Systems Article Vid2Avatar: 3D Avatar Reconstruction from Videos in the Wild via Self-supervised Scene Decomposition Guo, C. J. T. C. X. S. J. H. O. 17, Mr., :12858-12868, 1, 1, 3137 Laguna Street, YeaakEMl, 2024 (Published) 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

Human Aspects of Machine Learning Conference Paper Wasserstein Distributionally Robust Optimization Through the Lens of Structural Causal Models and Individual Fairness. Ehyaei, A. R., Farnadi, G., Samadi, S. In The Thirty-eighth Annual Conference on Neural Information Processing Systems, 2024 (Published) BibTeX

Empirical Inference Conference Paper Causal normalizing flows: from theory to practice Javaloy, A. S. P. V. I. In Advances in Neural Information Processing Systems 36 (NeurIPS 2023), :1-32, Curran Associates Inc., NeurIPS, December 2023 (Published) DOI URL BibTeX

Autonomous Learning Conference Paper On Imitation in Mean-field Games Ramponi, G., Kolev, P., Olivier, P., He, N., Laurière, M., Geist, M. In Advances in Neural Information Processing Systems 36 (NeurIPS 2023), :1-12, Curran Associates Inc., NeurIPS, December 2023 (Published) DOI URL BibTeX

Empirical Inference Conference Paper Optimistic Active Exploration of Dynamical Systems Sukhija, B. T. L. S. C. B. S. C. S. K. 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 Conference Paper Spuriosity Didn’t Kill the Classifier: Using Invariant Predictions to Harness Spurious Features Eastwood, C. S. S. N. A. L. V. M. V. K. J. S. B. In Advances in Neural Information Processing Systems 36 (NeurIPS 2023), :1-34, 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

Social Foundations of Computation Algorithms and Society Conference Paper Collaborative Learning via Prediction Consensus Fan, D., Mendler-Dünner, C., Jaggi, M. In Advances in Neural Information Processing Systems 36 (NeurIPS 2023), Curran Associates, Inc., The Thirty-Seventh Annual Conference on Neural Information Processing Systems (NeurIPS), December 2023 (Published) ArXiv 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, 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

Social Foundations of Computation Poster Do Personality Tests Generalize to Large Language Models Dorner, F. E., Sühr, T., Samadi, S., Kelava, A. Socially Responsible Language Modelling Research (SoLaR) Workshop, The Thirty-Seventh Annual Conference on Neural Information Processing Systems (NeurIPS), December 2023, *equal contribution (Published) URL BibTeX

Perceiving Systems Conference Paper Emotional Speech-Driven Animation with Content-Emotion Disentanglement Daněček, R., Chhatre, K., Tripathi, S., Wen, Y., Black, M. J., Bolkart, T. In SIGGRAPH Asia 2023 Conference Papers, ACM, SIGGRAPH Asia, December 2023 (Published) arXiv DOI URL BibTeX

Social Foundations of Computation Book Fairness and Machine Learning: Limitations and Opportunities Barocas, S., Hardt, M., Narayanan, A. MIT Press, December 2023 (Published) URL 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

Perceiving Systems Article From Skin to Skeleton: Towards Biomechanically Accurate 3D Digital Humans Keller, M., Werling, K., Shin, S., Delp, S., Pujades, S., Liu, C. K., Black, M. J. ACM Transactions on Graphics (TOG), ACM Transactions on Graphics (TOG), 42(6):253:1-253:15, ACM New York, NY, USA, December 2023 (Published) Project Page Paper DOI 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

Autonomous Learning Conference Paper Goal-conditioned Offline Planning from Curious Exploration Bagatella, M., Martius, G. In Advances in Neural Information Processing Systems 36, 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

Autonomous Learning Conference Paper Object-Centric Learning for Real-World Videos by Predicting Temporal Feature Similarities Zadaianchuk, A., Seitzer, M., Martius, G. In Thirty-seventh Conference on Neural Information Processing Systems (NeurIPS 2023), Advances in Neural Information Processing Systems 36, December 2023 () arXiv Website OpenReview 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

Autonomous Learning Conference Paper Online Learning under Adversarial Nonlinear Constraints Kolev, P., Martius, G., Muehlebach, M. In Advances in Neural Information Processing Systems 36, December 2023 () URL BibTeX

Autonomous Learning Conference Paper Regularity as Intrinsic Reward for Free Play Sancaktar, C., Piater, J., Martius, G. In Advances in Neural Information Processing Systems 37, December 2023 () Website Code 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

Empirical Inference Conference Paper Spuriosity Didn’t Kill the Classifier: Using Invariant Predictions to Harness Spurious Features Eastwood*, C., Singh*, S., Nicolicioiu, A. L., Vlastelica, M., von Kügelgen, J., Schölkopf, B. Advances in Neural Information Processing Systems 36 (NeurIPS 2023), 36:18291-18324, (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

Perceiving Systems Article FLARE: Fast learning of Animatable and Relightable Mesh Avatars Bharadwaj, S., Zheng, Y., Hilliges, O., Black, M. J., Fernandez Abrevaya, V. ACM Transactions on Graphics (TOG), ACM Transactions on Graphics (TOG), 42(6):204:1-204:15, ACM New York, NY, USA, December 2023 (Published) Paper Project Page Code DOI URL BibTeX