Cao, C. G. L., Javot, B., Bhattarai, S., Bierig, K., Oreshnikov, I., Volchkov, V. V. Fiber-Optic Shape Sensing Using Neural Networks Operating on Multispecklegrams IEEE Sensors Journal, 24(17):27532-27540, September 2024 (article)

DOI [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]

Chen*, W., Horwood*, J., Heo, J., Hernández-Lobato, J. M. Leveraging Task Structures for Improved Identifiability in Neural Network Representations Transactions on Machine Learning Research, August 2024, *equal contribution (article)

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]

Kladny, K., Kügelgen, J. V., Schölkopf, B., Muehlebach, M. Deep Backtracking Counterfactuals for Causally Compliant Explanations Transactions on Machine Learning Research, July 2024 (article)

arXiv 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]

Schölkopf, B. Grundfragen der künstlichen Intelligenz astronomie - Das Magazin, 42, May 2024 (article)

link (url) [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]