Kapoor, J., Schulz, A., Vetter, J., Pei, F., Gao, R., Macke, J. H. Latent Diffusion for Neural Spiking Data Advances in Neural Information Processing Systems 37 (NeurIPS 2024), 38th Annual Conference on Neural Information Processing Systems, December 2024 (conference) Accepted

[BibTex]

Didolkar, A. R., Goyal, A., Ke, N. R., Guo, S., Valko, M., Lillicrap, T. P., Rezende, D. J., Bengio, Y., Mozer, M. C., Arora, S. Metacognitive Capabilities of LLMs: An Exploration in Mathematical Problem Solving Advances in Neural Information Processing Systems 37 (NeurIPS 2024), 38th Annual Conference on Neural Information Processing Systems, December 2024 (conference) Accepted

[BibTex]

Buchholz, S. Learning partitions from Context Advances in Neural Information Processing Systems 37 (NeurIPS 2024), 38th Annual Conference on Neural Information Processing Systems, December 2024 (conference) Accepted

[BibTex]

Garrido, S., Blöbaum, P., Schölkopf, B., Janzing, D. Causal vs. Anticausal merging of predictors In Advances in Neural Information Processing Systems 37 (NeurIPS 2024) , 38th Annual Conference on Neural Information Processing Systems, December 2024 (inproceedings) Accepted

[BibTex]

Allingham, J. U., Mlodozeniec, B. K., Padhy, S., Antoran, J., Krueger, D., Turner, R. E., Nalisnick, E., Hernández-Lobato, J. M. A Generative Model of Symmetry Transformations Advances in Neural Information Processing Systems 37 (NeurIPS 2024), 38th Annual Conference on Neural Information Processing Systems, December 2024 (conference) Accepted

[BibTex]

Rajendran*, G., Buchholz*, S., Aragam, B., Schölkopf, B., Ravikumar, P. K. From Causal to Concept-Based Representation Learning Advances in Neural Information Processing Systems 37 (NeurIPS 2024), 38th Annual Conference on Neural Information Processing Systems, December 2024 (conference) Accepted

[BibTex]

Zhao, J., Singh, S. P., Lucchi, A. Theoretical Characterisation of the Gauss Newton Conditioning in Neural Networks Advances in Neural Information Processing Systems 37 (NeurIPS 2024), 38th Annual Conference on Neural Information Processing Systems, December 2024 (conference) Accepted

[BibTex]

Dmitriev, D., Buhai, R., Tiegel, S., Wolters, A., Novikov, G., Sanyal, A., Steurer, D., Yang, F. Robust Mixture Learning when Outliers Overwhelm Small Groups Advances in Neural Information Processing Systems 37 (NeurIPS 2024), 38th Annual Conference on Neural Information Processing Systems, December 2024 (conference) Accepted

[BibTex]

Chen, W., Ge, H. Neural Characteristic Activation Analysis and Geometric Parameterization for ReLU Networks Advances in Neural Information Processing Systems 37 (NeurIPS 2024) , 38th Annual Conference on Neural Information Processing Systems, December 2024 (conference) Accepted

[BibTex]

Lin, J. A., Padhy, S., Mlodozeniec, B. K., Antoran, J., Hernández-Lobato, J. M. Improving Linear System Solvers for Hyperparameter Optimisation in Iterative Gaussian Processes Advances in Neural Information Processing Systems 37 (NeurIPS 2024) , 38th Annual Conference on Neural Information Processing Systems, December 2024 (conference) Accepted

[BibTex]

Piatti*, G., Jin*, Z., Kleiman-Weiner*, M., Schölkopf, B., Sachan, M., Mihalcea, R. Cooperate or Collapse: Emergence of Sustainability in a Society of LLM Agents Advances in Neural Information Processing Systems 37 (NeurIPS 2024), 38th Annual Conference on Neural Information Processing Systems, December 2024, *equal contribution (conference) Accepted

[BibTex]

Vetter, J., Moss, G., Schröder, C., Gao, R., Macke, J. H. Sourcerer: Sample-based Maximum Entropy Source Distribution Estimation Advances in Neural Information Processing Systems 37 (NeurIPS 2024), 38th Annual Conference on Neural Information Processing Systems, December 2024 (conference) Accepted

[BibTex]

Jain, S., Lubana, E. S., Oksuz, K., Joy, T., Torr, P., Sanyal, A., Dokania, P. K. What Makes Safety Fine-tuning Methods Safe? A Mechanistic Study Advances in Neural Information Processing Systems 37 (NeurIPS 2024), 38th Annual Conference on Neural Information Processing Systems, December 2024 (conference) Accepted

[BibTex]

Chan, R., Bourmasmoud, R., Svete, A., Ren, Y., Guo, Q., Jin, Z., Ravfogel, S., Sachan, M., Schölkopf, B., El-Assady, M., Cotterell, R. On Affine Homotopy between Language Encoders Advances in Neural Information Processing Systems 37 (NeurIPS 2024), 38th Annual Conference on Neural Information Processing Systems, December 2024 (conference) Accepted

[BibTex]

Pals, M., Sağtekin, A. E., Pei, F., Gloeckler, M., Macke, J. Inferring stochastic low-rank recurrent neural networks from neural data Advances in Neural Information Processing Systems 37 (NeurIPS 2024) , 38th Annual Conference on Neural Information Processing Systems, December 2024 (conference) Accepted

[BibTex]

Guo, S., Zhang, C., Muhan, K., Huszár*, F., Schölkopf*, B. Do Finetti: On Causal Effects for Exchangeable Data Advances in Neural Information Processing Systems 37 (NeurIPS 2024), 38th Annual Conference on Neural Information Processing Systems, December 2024, *joint senior authors (conference) Accepted

[BibTex]

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]

Immer, A. Advances in Probabilistic Methods for Deep Learning ETH Zurich, Switzerland, September 2024, CLS PhD Program (phdthesis)

[BibTex]

Bizeul, A., Schölkopf, B., Allen, C. A Probabilistic Model behind Self-Supervised Learning Transactions on Machine Learning Research, September 2024 (article) To be published

PDF [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]