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Learning and Dynamical Systems Article Event-Based Federated Q-Learning Er, D., Muehlebach, M. Workshop on Foundations of RL and Control, International Conference on Machine Learning, 2024 (Published) 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
Neural Capture and Synthesis Conference Paper FaceTalk: Audio-Driven Motion Diffusion for Neural Parametric Head Models Aneja, S., Thies, J., Dail, A., Niessner, M. In Proceedings 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 21263-21273, IEEE, CVPR, 2024 (Published) DOI URL BibTeX
Physics for Inference and Optimization Article Flexible inference in heterogeneous and attributed multilayer networks Contisciani, M., Hobbhahn, M., Power, A. E., Hennig, P., De Bacco, C. September 2024 (Submitted) Preprint Code URL BibTeX
Safety- and Efficiency- aligned Learning Technical Report Generating Potent Poisons and Backdoors from Scratch with Guided Diffusion Souri, H., Bansal, A., Kazemi, H., Fowl, L., Saha, A., Geiping, J., Wilson, A. G., Chellappa, R., Goldstein, T., Goldblum, M. 2024 (Submitted) URL BibTeX
Article Generating realistic neurophysiological time series with denoising diffusion probabilistic models Vetter, J., Macke, J. H., Gao, R. Patterns, 5(9), 2024 (Published) DOI URL BibTeX
Physical Intelligence Article Hierarchical Nanostructures as Acoustically Manipulatable Multifunctional Agents in Dynamic Fluid Flow Kim, D. W., Wrede, P., Estrada, H., Yildiz, E., Lazovic, J., Bhargava, A., Razansky, D., Sitti, M. Advanced Materials, 2024:2404514, 2024 (Published) DOI 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
Rationality Enhancement Article Identifying Resource-Rational Heuristics for Risky Choice Krueger, P., Callaway, F., Gul, S., Griffiths, T., Lieder, F. Psychological Review, 2024 (Published) DOI URL BibTeX
Physical Intelligence Article Individual and collective manipulation of multifunctional bimodal droplets in three dimensions Sun, M., Sun, B., Park, M., Yang, S., Wu, Y., Zhang, M., Kang, W., Yoon, J., Zhang, L., Sitti, M. Science Advances, 10(19):eadp1439, American Association for the Advancement of Science, 2024 (Published) BibTeX
Robust Machine Learning Conference Paper InfoNCE: Identifying the Gap Between Theory and Practice Rusak, E., Reizinger, P., Juhos, A., Bringmann, O., Zimmermann, R. S., Brendel, W. In July 2024 (Published) BibTeX
Embodied Vision Ph.D. Thesis Investigating Shape Priors, Relationships, and Multi-Task Cues for Object-level Scene Understanding Elich, C. ETH Zürich, Zurich, 2024 (Published) DOI URL BibTeX
Safety- and Efficiency- aligned Learning Conference Paper Investigating Style Similarity in Diffusion Models Somepalli, G., Gupta, A., Gupta, K., Palta, S., Goldblum, M., Geiping, J., Shrivastava, A., Goldstein, T. In European Conference on Computer Vision (ECCV 2024), LNCS, Springer Cham, 2024 (Published) URL BibTeX
Article LEAP-VO: Long-term Effective Any Point Tracking for Visual Odometry Chen, W., Chen, L., Wang, R., Pollefeys, M. Proceedings 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 19844-19853, 1, 1, YeaakEMl, 2024 (Accepted) DOI URL BibTeX
Safety- and Efficiency- aligned Learning Conference Paper LMD3: Language Model Data Density Dependence Kirchenbauer, J., Honke, G., Somepalli, G., Geiping, J., Lee, K., Ippolito, D., Goldstein, T., Andre, D. In Proceedings of the First Conference on Language Modeling, First Conference on Language Modeling, 2024 (Published) 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
Robust Machine Learning Conference Paper Measuring Per-Unit Interpretability at Scale Without Humans Klindt, D., Zimmermann, R., Brendel, W. In September 2024 (Published) OpenReview BibTeX
Embodied Vision Ph.D. Thesis Methods for Learning Adaptive and Symbolic Forward Models for Control and Planning Achterhold, J. M. Eberhard Karls Universität Tübingen, Tübingen, 2024 (Published) DOI URL BibTeX
Physical Intelligence Article Micro- and nanofabrication of dynamic hydrogels with multichannel information Zhang, M., Lee, Y., Zheng, Z., Khan, M. T. A., Lyu, X., Byun, J., Giessen, H., Sitti, M. 2024 (Published) 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
Safety- and Efficiency- aligned Learning Conference Paper Object Recognition as Next Token Prediction Yue, K., Chen, B., Geiping, J., Li, H., Goldstein, T., Lim, S. In IEEE/CVF Conf. on Computer Vision and Pattern Recognition (CVPR), CVPR, 2024 (Published) DOI URL BibTeX
Safety- and Efficiency- aligned Learning Conference Paper On the Reliability of Watermarks for Large Language Models Kirchenbauer, J., Geiping, J., Wen, Y., Shu, M., Saifullah, K., Kong, K., Fernando, K., Saha, A., Goldblum, M., Goldstein, T. In The Twelfth International Conference on Learning Representations, ICLR 2024, The Twelfth International Conference on Learning Representations, 2024 (Published) URL BibTeX
Learning and Dynamical Systems Article Online Performance Optimization of Nonlinear Systems: A Gray-Box Approach He, Z., Muehlebach, M., Bolognani, S., Dörfler, F. Workshop on Foundations of RL and Control, International Conference on Machine Learning, 2024 (Published) BibTeX
Learning and Dynamical Systems Article Optimal Transport with Constraints: From Mirror Descent to Classical Mechanics Ibrahim, A. A., Muehlebach, M., De Bacco, C. Physical Review Letters, 133:057401 , 2024 (Published) DOI BibTeX
Physical Intelligence Article Perturbing Dynamics of Active Emulsions and Their Collectives Khan, M. T. A., Gardi, G., Soon, R. H., Zhang, M., Sitti, M. arXiv preprint arXiv:2405.05889, 2024 (Submitted) BibTeX
Safety- and Efficiency- aligned Learning Conference Paper Privacy Backdoors: Enhancing Membership Inference through Poisoning Pre-trained Models Wen, Y., Marchyok, L., Hong, S., Geiping, J., and Goldstein, T., Carlini, N. 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
Article Reinforcement learning based autonomous multi-rotor landing on moving platforms Ahmad, P. G. &. A. 2024 (Published) BibTeX
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
Physics for Inference and Optimization Article Similarity and economy of scale in urban transportation networks and\noptimal transport-based infrastructures Leite, D., De Bacco, C. Nature Communications, 15:7981, 2024 (Published) DOI 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
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
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