2024
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
Guo, S., Wildberger, J., Schölkopf, B.
Out-of-Variable Generalization for Discriminative Models
Proceedings of the Twelfth International Conference on Learning Representations (ICLR), May 2024 (conference) Accepted
Pace, A., Yèche, H., Schölkopf, B., Rätsch, G., Tennenholtz, G.
Delphic Offline Reinforcement Learning under Nonidentifiable Hidden Confounding
Proceedings of the Twelfth International Conference on Learning Representations (ICLR), May 2024 (conference) Accepted
Meterez*, A., Joudaki*, A., Orabona, F., Immer, A., Rätsch, G., Daneshmand, H.
Towards Training Without Depth Limits: Batch Normalization Without Gradient Explosion
Proceedings of the Twelfth International Conference on Learning Representations (ICLR), May 2024, *equal contribution (conference) Accepted
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
Proceedings of the Twelfth International Conference on Learning Representations (ICLR), May 2024 (conference) Accepted
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), May 2024 (conference) Accepted
Jin, Z., Liu, J., Lyu, Z., Poff, S., Sachan, M., Mihalcea, R., Diab*, M., Schölkopf*, B.
Can Large Language Models Infer Causation from Correlation?
Proceedings of the Twelfth International Conference on Learning Representations (ICLR), May 2024, *equal supervision (conference) Accepted
Donhauser, K., Lokna, J., Sanyal, A., Boedihardjo, M., Hönig, R., Yang, F.
Certified private data release for sparse Lipschitz functions
27th International Conference on Artificial Intelligence and Statistics (AISTATS), May 2024 (conference) Accepted
Schneider, J., Schumacher, P., Guist, S., Chen, L., Häufle, D., Schölkopf, B., Büchler, D.
Identifying Policy Gradient Subspaces
Proceedings of the Twelfth International Conference on Learning Representations (ICLR), May 2024 (conference) Accepted
Khromov*, G., Singh*, S. P.
Some Intriguing Aspects about Lipschitz Continuity of Neural Networks
Proceedings of the Twelfth International Conference on Learning Representations (ICLR), May 2024, *equal contribution (conference) Accepted
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) Accepted
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, The Twelfth International Conference on Learning Representations, May 2024 (inproceedings) Accepted
Pan, H., Schölkopf, B.
Skill or Luck? Return Decomposition via Advantage Functions
Proceedings of the Twelfth International Conference on Learning Representations (ICLR), May 2024 (conference) Accepted
Imfeld*, M., Graldi*, J., Giordano*, M., Hofmann, T., Anagnostidis, S., Singh, S. P.
Transformer Fusion with Optimal Transport
Proceedings of the Twelfth International Conference on Learning Representations (ICLR), May 2024, *equal contribution (conference) Accepted
Lorch, L., Krause*, A., Schölkopf*, B.
Causal Modeling with Stationary Diffusions
27th International Conference on Artificial Intelligence and Statistics (AISTATS), May 2024, *equal supervision (conference) Accepted
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
Proceedings of the Twelfth International Conference on Learning Representations (ICLR), May 2024 (conference) Accepted
Theus, A., Geimer, O., Wicke, F., Hofmann, T., Anagnostidis, S., Singh, S. P.
Towards Meta-Pruning via Optimal Transport
Proceedings of the Twelfth International Conference on Learning Representations (ICLR), May 2024 (conference) Accepted
Lin*, J. A., Padhy*, S., Antorán*, J., Tripp, A., Terenin, A., Szepesvari, C., Hernández-Lobato, J. M., Janz, D.
Stochastic Gradient Descent for Gaussian Processes Done Right
Proceedings of the Twelfth International Conference on Learning Representations (ICLR), May 2024, *equal contribution (conference) Accepted
Pinto, F., Hu, Y., Yang, F., Sanyal, A.
PILLAR: How to make semi-private learning more effective
2nd IEEE Conference on Secure and Trustworthy Machine Learning (SaTML), pages: 110-139, April 2024 (conference)
von Kügelgen, J.
Identifiable Causal Representation Learning
University of Cambridge, UK, Cambridge, February 2024, (Cambridge-Tübingen-Fellowship) (phdthesis)
Kottapalli, S. N. M., Schlieder, L., Song, A., Volchkov, V., Schölkopf, B., Fischer, P.
Polarization-based non-linear deep diffractive neural networks
AI and Optical Data Sciences V, PC12903, pages: PC129030B, (Editors: Ken-ichi Kitayama and Volker J. Sorger), SPIE, January 2024 (conference)
Song, A., Kottapalli, S. N. M., Schölkopf, B., Fischer, P.
Multi-channel free space optical convolutions with incoherent light
AI and Optical Data Sciences V, PC12903, pages: PC129030I, (Editors: Ken-ichi Kitayama and Volker J. Sorger), SPIE, January 2024 (conference)
2023
Eastwood*, C., Singh*, S., Nicolicioiu, A. L., Vlastelica, M., von Kügelgen, J., Schölkopf, B.
Spuriosity Didn’t Kill the Classifier: Using Invariant Predictions to Harness Spurious Features
Advances in Neural Information Processing Systems 36 (NeurIPS 2023), 36, pages: 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 (conference)
Jin*, Z., Chen*, Y., Leeb*, F., Gresele*, L., Kamal, O., Lyu, Z., Blin, K., Gonzalez, F., Kleiman-Weiner, M., Sachan, M., Schölkopf, B.
CLadder: A Benchmark to Assess Causal Reasoning Capabilities of Language Models
Advances in Neural Information Processing Systems 36 (NeurIPS 2023), 36, pages: 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 (conference)
Gao*, R., Deistler*, M., Macke, J. H.
Generalized Bayesian Inference for Scientific Simulators via Amortized Cost Estimation
Advances in Neural Information Processing Systems 36 (NeurIPS 2023), 36, pages: 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 (conference)
Kuznetsova*, R., Pace*, A., Burger*, M., Yèche, H., Rätsch, G.
On the Importance of Step-wise Embeddings for Heterogeneous Clinical Time-Series
Proceedings of the 3rd Machine Learning for Health Symposium (ML4H) , 225, pages: 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 (conference)
Qiu*, Z., Liu*, W., Feng, H., Xue, Y., Feng, Y., Liu, Z., Zhang, D., Weller, A., Schölkopf, B.
Controlling Text-to-Image Diffusion by Orthogonal Finetuning
Advances in Neural Information Processing Systems 36 (NeurIPS 2023), 36, pages: 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 (conference)
Guo*, S., Tóth*, V., Schölkopf, B., Huszár, F.
Causal de Finetti: On the Identification of Invariant Causal Structure in Exchangeable Data
Advances in Neural Information Processing Systems 36 (NeurIPS 2023), 36, pages: 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 (conference)
Lin*, J. A., Antorán*, J., Padhy*, S., Janz, D., Hernández-Lobato, J. M., Terenin, A.
Sampling from Gaussian Process Posteriors using Stochastic Gradient Descent
Advances in Neural Information Processing Systems 36 (NeurIPS 2023), 36, pages: 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 (conference)
Midgley*, L. I., Stimper*, V., Antorán*, J., Mathieu*, E., Schölkopf, B., Hernández-Lobato, J. M.
SE(3) Equivariant Augmented Coupling Flows
Advances in Neural Information Processing Systems 36 (NeurIPS 2023), 36, pages: 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 (conference)
Wildberger*, J., Dax*, M., Buchholz*, S., Green, S. R., Macke, J. H., Schölkopf, B.
Flow Matching for Scalable Simulation-Based Inference
Advances in Neural Information Processing Systems 36 (NeurIPS 2023), 36, pages: 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 (conference)
Buchholz*, S., Rajendran*, G., Rosenfeld, E., Aragam, B., Schölkopf, B., Ravikumar, P.
Learning Linear Causal Representations from Interventions under General Nonlinear Mixing
Advances in Neural Information Processing Systems 36 (NeurIPS 2023), 36, pages: 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 (conference)
Munkhoeva, M., Oseledets, I.
Neural Harmonics: Bridging Spectral Embedding and Matrix Completion in Self-Supervised Learning
Advances in Neural Information Processing Systems 36 (NeurIPS 2023), 36, pages: 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 (conference)
Lorch, L., Krause*, A., Schölkopf*, B.
Causal Modeling with Stationary Diffusions
Causal Representation Learning Workshop at NeurIPS 2023, December 2023, *equal supervision (conference)
Liang, W., Kekić, A., von Kügelgen, J., Buchholz, S., Besserve, M., Gresele*, L., Schölkopf*, B.
Causal Component Analysis
Advances in Neural Information Processing Systems 36 (NeurIPS 2023), 36, pages: 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 (conference)
Park, J., Buchholz, S., Schölkopf, B., Muandet, K.
A Measure-Theoretic Axiomatisation of Causality
Advances in Neural Information Processing Systems 36 (NeurIPS 2023), 36, pages: 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 (conference)
von Kügelgen, J., Besserve, M., Liang, W., Gresele, L., Kekić, A., Bareinboim, E., Blei, D., Schölkopf, B.
Nonparametric Identifiability of Causal Representations from Unknown Interventions
Advances in Neural Information Processing Systems 36 (NeurIPS 2023), 36, pages: 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 (conference)
Confavreux*, B., Ramesh*, P., Goncalves, P. J., Macke, J. H., Vogels, T. P.
Meta-learning families of plasticity rules in recurrent spiking networks using simulation-based inference
Advances in Neural Information Processing Systems 36 (NeurIPS 2023), 36, pages: 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 (conference)
Tifrea*, A., Yüce*, G., Sanyal, A., Yang, F.
Can semi-supervised learning use all the data effectively? A lower bound perspective
Advances in Neural Information Processing Systems 36 (NeurIPS 2023), 36, pages: 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 (conference)
Wen*, Y., Liu*, W., Feng, Y., Raj, B., Singh, R., Weller, A., Black, M. J., Schölkopf, B.
Pairwise Similarity Learning is SimPLE
In Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV), International Conference on Computer Vision 2023, October 2023 (inproceedings)
Huang*, Y., Yi*, H., Liu, W., Wang, H., Wu, B., Wang, W., Lin, B., Zhang, D. C. D.
One-shot Implicit Animatable Avatars with Model-based Priors
IEEE/CVF International Conference on Computer Vision (ICCV), pages: 8940-8951, October 2023, *equal contribution (conference)
Donhauser, K., Lokna, J., Sanyal, A., Boedihardjo, M., Hönig, R., Yang, F.
Certified private data release for sparse Lipschitz functions
TPDP 2023 - Theory and Practice of Differential Privacy, September 2023 (conference)
Pinto, F., Hu, Y., Yang, F., Sanyal, A.
How to make semi-private learning more effective
TPDP 2023 - Theory and Practice of Differential Privacy, September 2023 (conference)
Moraffah, R., Karimi, A., Raglin, A., Liu, H.
Socially Responsible Machine Learning: A Causal Perspective
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, pages: 5819-5820, Association for Computing Machinery, August 2023 (conference)
Kladny, K., von Kügelgen, J., Schölkopf, B., Muehlebach, M.
Causal Effect Estimation from Observational and Interventional Data Through Matrix Weighted Linear Estimators
Proceedings of the Thirty-Ninth Conference on Uncertainty in Artificial Intelligence (UAI), 216, pages: 1087-1097, Proceedings of Machine Learning Research, (Editors: Evans, Robin J. and Shpitser, Ilya), PMLR, August 2023 (conference)
Rangnekar, V., Upadhyay, U., Akata, Z., Banerjee, B.
USIM-DAL: Uncertainty-aware Statistical Image Modeling-based Dense Active Learning for Super-resolution
Proceedings of the Thirty-Ninth Conference on Uncertainty in Artificial Intelligence (UAI), 216, pages: 1707-1717, (Editors: Evans, Robin J. and Shpitser, Ilya), PMLR, August 2023 (conference)
Glöckler, M., Deistler, M., Macke, J. H.
Adversarial robustness of amortized Bayesian inference
Proceedings of 40th International Conference on Machine Learning (ICML) , 202, pages: 11493-11524, Proceedings of Machine Learning Research, (Editors: A. Krause, E. Brunskill, K. Cho, B. Engelhardt, S. Sabato and J. Scarlett), PMLR, July 2023 (conference)
Immer, A., Schultheiss, C., Vogt, J. E., Schölkopf, B., Bühlmann, P., Marx, A.
On the Identifiability and Estimation of Causal Location-Scale Noise Models
Proceedings of the 40th International Conference on Machine Learning (ICML), 202, pages: 14316-14332, Proceedings of Machine Learning Research, (Editors: A. Krause, E. Brunskill, K. Cho, B. Engelhardt, S. Sabato and J. Scarlett), PMLR, July 2023 (conference)
Yèche*, H., Pace*, A., Rätsch, G., Kuznetsova, R.
Temporal Label Smoothing for Early Event Prediction
Proceedings of the 40th International Conference on Machine Learning (ICML), 202, pages: 39913-39938, Proceedings of Machine Learning Research, (Editors: A. Krause, E. Brunskill, K. Cho, B. Engelhardt, S. Sabato and J. Scarlett), PMLR, July 2023, *equal contribution (conference)
Opedal, A., Zmigrod, R., Vieira, T., Cotterell, R., Eisner, J.
Efficient Semiring-Weighted Earley Parsing
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (ACL), 1, pages: 3687-3713, (Editors: Anna Rogers, Jordan L. Boyd-Graber and Naoaki Okazaki), Association for Computational Linguistics, July 2023 (conference)