Andrussow, I., Sun, H., Martius, G., Kuchenbecker, K. J. Demonstration: Minsight - A Soft Vision-Based Tactile Sensor for Robotic Fingertips Hands-on demonstration presented at the Conference on Robot Learning (CoRL), Munich, Germany, November 2024 (misc) Accepted

Project Page [BibTex]

Schumacher, P., Krause, L., Schneider, J., Büchler, D., Martius, G., Haeufle, D. Learning to Control Emulated Muscles in Real Robots: Towards Exploiting Bio-Inspired Actuator Morphology In 10th International Conference on Biomedical Robotics and Biomechatronics (BioRob), September 2024 (inproceedings) Accepted

arXiv [BibTex]

Schneider, F., Kamal, O., Jin, Z., Schölkopf, B. Moûsai: Efficient Text-to-Music Diffusion Models Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (ACL), Volume 1: Long Papers, pages: 8050-8068, (Editors: Lun-Wei Ku and Andre Martins and Vivek Srikumar), Association for Computational Linguistics, August 2024 (conference)

link (url) [BibTex]

Wu*, W., Chen*, W., Zhang, C., Woodland, P. C. Modelling Variability in Human Annotator Simulation Findings of the Association for Computational Linguistics (ACL), pages: 1139-1157, (Editors: Ku, Lun-Wei and Martins, Andre and Srikumar, Vivek), Association for Computational Linguistics, August 2024, *equal contribution (conference)

link (url) [BibTex]

Ortu*, F., Jin*, Z., Doimo, D., Sachan, M., Cazzaniga, A., Schölkopf, B. Competition of Mechanisms: Tracing How Language Models Handle Facts and Counterfactuals Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (ACL) , Volume 1, Long Papers, pages: 8420-8436, (Editors: Lun-Wei Ku and Andre Martins and Vivek Srikumar), Association for Computational Linguistics, August 2024, *equal contribution (conference)

arXiv link (url) [BibTex]

Kumar, I., Jin, Z., Mokhtarian, E., Guo, S., Chen, Y., Kiyavash, N., Sachan, M., Schölkopf, B. CausalCite: A Causal Formulation of Paper Citations Findings of the Association for Computational Linguistics (ACL), pages: 8395-8410, (Editors: Ku, Lun-Wei and Martins, Andre and Srikumar, Vivek), Association for Computational Linguistics, August 2024 (conference)

arXiv link (url) [BibTex]

Dmitriev, D., Szabó, K., Sanyal, A. On the Growth of Mistakes in Differentially Private Online Learning: A Lower Bound Perspective Proceedings of the 37th Annual Conference on Learning Theory (COLT), 247, pages: 1379-1398, Proceedings of Machine Learning Research, (Editors: Agrawal, Shipra and Roth, Aaron), PMLR, July 2024, (talk) (conference)

link (url) [BibTex]

Buchholz, S., Schölkopf, B. Robustness of Nonlinear Representation Learning Proceedings of the 41st International Conference on Machine Learning (ICML), 235, pages: 4785-4821, Proceedings of Machine Learning Research, (Editors: Salakhutdinov, Ruslan and Kolter, Zico and Heller, Katherine and Weller, Adrian and Oliver, Nuria and Scarlett, Jonathan and Berkenkamp, Felix), PMLR, July 2024 (conference)

link (url) [BibTex]

Beck, J., Bosch, N., Deistler, M., Kadhim, K. L., Macke, J. H., Hennig, P., Berens, P. Diffusion Tempering Improves Parameter Estimation with Probabilistic Integrators for ODEs Proceedings of the 41st International Conference on Machine Learning (ICML), 235, pages: 3305-3326, Proceedings of Machine Learning Research, (Editors: Salakhutdinov, Ruslan and Kolter, Zico and Heller, Katherine and Weller, Adrian and Oliver, Nuria and Scarlett, Jonathan and Berkenkamp, Felix), PMLR, July 2024 (conference)

arXiv link (url) [BibTex]

Schröder, C., Macke, J. H. Simultaneous identification of models and parameters of scientific simulators Proceedings of the 41st International Conference on Machine Learning (ICML), 235, pages: 43895-43927, Proceedings of Machine Learning Research, (Editors: Salakhutdinov, Ruslan and Kolter, Zico and Heller, Katherine and Weller, Adrian and Oliver, Nuria and Scarlett, Jonathan and Berkenkamp, Felix), PMLR, July 2024 (conference)

link (url) [BibTex]

Reizinger, P., Ujváry, S., Mészáros, A., Kerekes, A., Brendel, W., Huszár, F. Position: Understanding LLMs Requires More Than Statistical Generalization Proceedings of the 41st International Conference on Machine Learning (ICML), 235, pages: 42365-42390, Proceedings of Machine Learning Research, (Editors: Salakhutdinov, Ruslan and Kolter, Zico and Heller, Katherine and Weller, Adrian and Oliver, Nuria and Scarlett, Jonathan and Berkenkamp, Felix), PMLR, July 2024 (conference)

arXiv link (url) [BibTex]

Chen*, W., Zhang*, M., Paige, B., Hernández-Lobato, J. M., Barber, D. Diffusive Gibbs Sampling Proceedings of the 41st International Conference on Machine Learning (ICML), 235, pages: 7731-7747, Proceedings of Machine Learning Research, (Editors: Salakhutdinov, Ruslan and Kolter, Zico and Heller, Katherine and Weller, Adrian and Oliver, Nuria and Scarlett, Jonathan and Berkenkamp, Felix), PMLR, July 2024, *equal contribution (conference)

link (url) [BibTex]

Jain, S., Lubana, E. S., Oksuz, K., Joy, T., Torr, P. H. S., Sanyal, A., Dokania, P. K. What Makes Safety Fine-tuning Methods Safe? A Mechanistic Study ICML 2024 Workshop on Mechanistic Interpretability (Spotlight), July 2024 (conference)

link (url) [BibTex]

Bouchiat, K., Immer, A., Yèche, H., Rätsch, G., Fortuin, V. Improving Neural Additive Models with Bayesian Principles Proceedings of the 41st International Conference on Machine Learning (ICML), 235, pages: 4416-4443, Proceedings of Machine Learning Research, (Editors: Salakhutdinov, Ruslan and Kolter, Zico and Heller, Katherine and Weller, Adrian and Oliver, Nuria and Scarlett, Jonathan and Berkenkamp, Felix), PMLR, July 2024 (conference)

link (url) [BibTex]

Abdolahpourrostam, A., Sanyal, A., Moosavi-Dezfooli, S. Unveiling CLIP Dynamics: Linear Mode Connectivity and Generalization ICML 2024 Workshop on Foundation Models in the Wild, July 2024 (conference)

link (url) [BibTex]

Xu, D., Yao, D., Lachapelle, S., Taslakian, P., von Kügelgen, J., Locatello, F., Magliacane, S. A Sparsity Principle for Partially Observable Causal Representation Learning Proceedings of the 41st International Conference on Machine Learning (ICML), 235, pages: 55389-55433, Proceedings of Machine Learning Research, (Editors: Salakhutdinov, Ruslan and Kolter, Zico and Heller, Katherine and Weller, Adrian and Oliver, Nuria and Scarlett, Jonathan and Berkenkamp, Felix), PMLR, July 2024 (conference)

link (url) [BibTex]

Park, J. A Measure-Theoretic Axiomatisation of Causality and Kernel Regression University of Tübingen, Germany, July 2024 (phdthesis)

[BibTex]

Kremer, H., Schölkopf, B. Geometry-Aware Instrumental Variable Regression Proceedings of the 41st International Conference on Machine Learning (ICML), 235, pages: 25560-25582, Proceedings of Machine Learning Research, (Editors: Salakhutdinov, Ruslan and Kolter, Zico and Heller, Katherine and Weller, Adrian and Oliver, Nuria and Scarlett, Jonathan and Berkenkamp, Felix), PMLR, July 2024 (conference)

link (url) [BibTex]

Kekić, A., Schölkopf, B., Besserve, M. Targeted Reduction of Causal Models 40th Conference on Uncertainty in Artificial Intelligence (UAI), July 2024 (conference) To be published

arXiv link (url) [BibTex]

Keurti, H., Schölkopf, B., Aceituno, P. V., Grewe, B. Stitching Manifolds: Leveraging Interaction to Compose Object Representations into Scenes ICML 2024 Workshop on Geometry-grounded Representation Learning and Generative Modeling (GRaM), July 2024 (conference)

link (url) [BibTex]

Guist, S., Schneider, J., Ma, H., Chen, L., Berenz, V., Martus, J., Ott, H., Grüninger, F., Muehlebach, M., Fiene, J., Schölkopf, B., Büchler, D. Safe & Accurate at Speed with Tendons: A Robot Arm for Exploring Dynamic Motion Proceedings of Robotics: Science and Systems, July 2024 (conference)

arXiv Project Page link (url) DOI [BibTex]

Sajjadi, S. M. M. Enhancement and Evaluation of Deep Generative Networks with Applications in Super-Resolution and Image Generation University of Tübingen, Germany, July 2024 (phdthesis)

[BibTex]

Hu, Y., Sanyal, A., Schölkopf, B. Provable Privacy with Non-Private Pre-Processing Proceedings of the 41st International Conference on Machine Learning (ICML), 235, pages: 19402-19437, Proceedings of Machine Learning Research, (Editors: Salakhutdinov, Ruslan and Kolter, Zico and Heller, Katherine and Weller, Adrian and Oliver, Nuria and Scarlett, Jonathan and Berkenkamp, Felix), PMLR, July 2024 (conference)

link (url) [BibTex]

Krasheninnikov, D., Krasheninnikov, E., Mlodozeniec, Bruno K., Maharaj, T., Krueger, D. Implicit meta-learning may lead language models to trust more reliable sources Proceedings of the 41st International Conference on Machine Learning, 235, pages: 25534-25559, Proceedings of Machine Learning Research, (Editors: Salakhutdinov, Ruslan and Kolter, Zico and Heller, Katherine and Weller, Adrian and Oliver, Nuria and Scarlett, Jonathan and Berkenkamp, Felix), PMLR, July 2024 (conference)

link (url) [BibTex]

Buchholz, S., Park, J., Schölkopf, B. Products, Abstractions and Inclusions of Causal Spaces 40th Conference on Uncertainty in Artificial Intelligence (UAI), July 2024 (conference) To be published

arXiv [BibTex]

Opedal, A., Stolfo, A., Shirakami, H., Jiao, Y., Cotterell, R., Schölkopf, B., Saparov, A., Sachan, M. Do Language Models Exhibit the Same Cognitive Biases in Problem Solving as Human Learners? Proceedings of the 41st International Conference on Machine Learning (ICML), 235, pages: 38762-38778, Proceedings of Machine Learning Research, (Editors: Salakhutdinov, Ruslan and Kolter, Zico and Heller, Katherine and Weller, Adrian and Oliver, Nuria and Scarlett, Jonathan and Berkenkamp, Felix), PMLR, July 2024 (conference)

link (url) [BibTex]

Zheng, Y., Tang, Z., Qiu, Y., Schölkopf, B., Zhang, K. Detecting and Identifying Selection Structure in Sequential Data Proceedings of the 41st International Conference on Machine Learning (ICML), 235, pages: 61498-61525, Proceedings of Machine Learning Research, (Editors: Salakhutdinov, Ruslan and Kolter, Zico and Heller, Katherine and Weller, Adrian and Oliver, Nuria and Scarlett, Jonathan and Berkenkamp, Felix), PMLR, July 2024 (conference)

link (url) [BibTex]

Ben-Dov*, O., Fawkes*, J., Samadi, S., Sanyal, A. The Role of Learning Algorithms in Collective Action Proceedings of the 41st International Conference on Machine Learning (ICML), 235, pages: 3443-3461, Proceedings of Machine Learning Research, (Editors: Salakhutdinov, Ruslan and Kolter, Zico and Heller, Katherine and Weller, Adrian and Oliver, Nuria and Scarlett, Jonathan and Berkenkamp, Felix), PMLR, July 2024, *equal contribution (conference)

link (url) [BibTex]

Gloeckler, M., Deistler, M., Weilbach, C. D., Wood, F., Macke, J. H. All-in-one simulation-based inference Proceedings of the 41st International Conference on Machine Learning (ICML), 235, pages: 15735-15766, Proceedings of Machine Learning Research, (Editors: Salakhutdinov, Ruslan and Kolter, Zico and Heller, Katherine and Weller, Adrian and Oliver, Nuria and Scarlett, Jonathan and Berkenkamp, Felix), PMLR, July 2024 (conference)

link (url) [BibTex]

Sanyal, A., Hu, Y., Yu, Y., Ma, Y., Wang, Y., Schölkopf, B. Accuracy on the wrong line: On the pitfalls of noisy data for OOD generalisation ICML 2024 Next Generation of AI Safety Workshop (Oral), July 2024 (conference)

arXiv PDF [BibTex]

Gao, G., Liu, W., Chen, A., Geiger, A., Schölkopf, B. GraphDreamer: Compositional 3D Scene Synthesis from Scene Graphs The IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), June 2024 (conference) Accepted

[BibTex]

Liu, J., Li, W., Jin, Z., Diab, M. Automatic Generation of Model and Data Cards: A Step Towards Responsible AI Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL), Volume 1: Long Papers, pages: 1975-1997, (Editors: Duh, Kevin and Gomez, Helena and Bethard, Steven), Association for Computational Linguistics, June 2024 (conference)

link (url) DOI [BibTex]

Jin*, Z., Chen*, Y., Gonzalez*, F., Liu, J., Zhang, J., Michael, J., Schölkopf, B., Biab, M. Analyzing the Role of Semantic Representations in the Era of Large Language Models Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL), Volume 1: Long Papers, pages: 3781-3798, (Editors: Duh, Kevin and Gomez, Helena and Bethard, Steven), Association for Computational Linguistics, June 2024, *equal contribution (conference)

arXiv link (url) DOI [BibTex]

Stimper, V. Advancing Normalising Flows to Model Boltzmann Distributions University of Cambridge, UK, Cambridge, June 2024, (Cambridge-Tübingen-Fellowship-Program) (phdthesis)

[BibTex]

Guo, S., Wildberger, J., Schölkopf, B. Out-of-Variable Generalization for Discriminative Models The Twelfth International Conference on Learning Representations (ICLR), May 2024 (conference)

arXiv [BibTex]

Pace, A., Yèche, H., Schölkopf, B., Rätsch, G., Tennenholtz, G. Delphic Offline Reinforcement Learning under Nonidentifiable Hidden Confounding The Twelfth International Conference on Learning Representations (ICLR), May 2024 (conference)

arXiv [BibTex]

Meterez*, A., Joudaki*, A., Orabona, F., Immer, A., Rätsch, G., Daneshmand, H. Towards Training Without Depth Limits: Batch Normalization Without Gradient Explosion The Twelfth International Conference on Learning Representations (ICLR), May 2024, *equal contribution (conference)

arXiv [BibTex]

Donhauser, K., Lokna, J., Sanyal, A., Boedihardjo, M., Hönig, R., Yang, F. Certified private data release for sparse Lipschitz functions Proceedings of the 27th International Conference on Artificial Intelligence and Statistics (AISTATS), 238, pages: 1396-1404, Proceedings of Machine Learning Research, (Editors: Dasgupta, Sanjoy and Mandt, Stephan and Li, Yingzhen), PMLR, May 2024 (conference)

link (url) [BibTex]

Jin, Z., Liu, J., Lyu, Z., Poff, S., Sachan, M., Mihalcea, R., Diab*, M., Schölkopf*, B. Can Large Language Models Infer Causation from Correlation? The Twelfth International Conference on Learning Representations (ICLR), May 2024, *equal supervision (conference)

arXiv [BibTex]

Spieler, A., Rahaman, N., Martius, G., Schölkopf, B., Levina, A. The Expressive Leaky Memory Neuron: an Efficient and Expressive Phenomenological Neuron Model Can Solve Long-Horizon Tasks In The Twelfth International Conference on Learning Representations (ICLR), May 2024 (inproceedings)

arXiv [BibTex]

Kekić, A., Schölkopf, B., Besserve, M. Targeted Reduction of Causal Models ICLR 2024 Workshop on AI4DifferentialEquations In Science, May 2024 (conference)

link (url) [BibTex]

Open X-Embodiment Collaboration ( incl. Guist, S., Schneider, J., Schölkopf, B., Büchler, D. ). Open X-Embodiment: Robotic Learning Datasets and RT-X Models IEEE International Conference on Robotics and Automation (ICRA), pages: 6892-6903, May 2024 (conference)

arXiv link (url) DOI [BibTex]

Schneider, J., Schumacher, P., Guist, S., Chen, L., Häufle, D., Schölkopf, B., Büchler, D. Identifying Policy Gradient Subspaces The Twelfth International Conference on Learning Representations (ICLR), May 2024 (conference)

arXiv [BibTex]

Khromov*, G., Singh*, S. P. Some Intriguing Aspects about Lipschitz Continuity of Neural Networks The Twelfth International Conference on Learning Representations (ICLR), May 2024, *equal contribution (conference)

arXiv [BibTex]

Liu, Z., Feng, Y., Xiu, Y., Liu, W., Paull, L., Black, M. J., Schölkopf, B. Ghost on the Shell: An Expressive Representation of General 3D Shapes In Proceedings of the Twelfth International Conference on Learning Representations, The Twelfth International Conference on Learning Representations, May 2024 (inproceedings)

Home Code Video Project [BibTex]

Pan, H., Schölkopf, B. Skill or Luck? Return Decomposition via Advantage Functions The Twelfth International Conference on Learning Representations (ICLR), May 2024 (conference)

[BibTex]

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

arXiv [BibTex]

Liu, W., Qiu, Z., Feng, Y., Xiu, Y., Xue, Y., Yu, L., Feng, H., Liu, Z., Heo, J., Peng, S., Wen, Y., Black, M. J., Weller, A., Schölkopf, B. Parameter-Efficient Orthogonal Finetuning via Butterfly Factorization In Proceedings of the Twelfth International Conference on Learning Representations (ICLR), The Twelfth International Conference on Learning Representations, May 2024 (inproceedings)

Home Code HuggingFace project link (url) [BibTex]

Lorch, L., Krause*, A., Schölkopf*, B. Causal Modeling with Stationary Diffusions Proceedings of the 27th International Conference on Artificial Intelligence and Statistics (AISTATS), 238, pages: 1927-1935, Proceedings of Machine Learning Research, (Editors: Dasgupta, Sanjoy and Mandt, Stephan and Li, Yingzhen), PMLR, May 2024, *equal supervision (conference)

link (url) [BibTex]

Yao, D., Xu, D., Lachapelle, S., Magliacane, S., Taslakian, P., Martius, G., von Kügelgen, J., Locatello, F. Multi-View Causal Representation Learning with Partial Observability The Twelfth International Conference on Learning Representations (ICLR), May 2024 (conference)

arXiv [BibTex]