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Bernhard Schölkopf

Empirical Inference Director

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Office: N4.019 Max-Planck-Ring 4 72076 Tübingen +49 7071 601 551 [email protected]
Google Scholar
Empirical Inference Conference Paper Robustness of Nonlinear Representation Learning Buchholz, S., Schölkopf, B. Proceedings of the 41st International Conference on Machine Learning (ICML), 235:4785-4821, 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 (Published) URL BibTeX
Empirical Inference Learning and Dynamical Systems Robotics Conference Paper Safe & Accurate at Speed with Tendons: A Robot Arm for Exploring Dynamic Motion Guist, S., Schneider, J., Ma, H., Chen, L., Berenz, V., Martus, J., Ott, H., Grüninger, F., Muehlebach, M., Fiene, J., et al. Proceedings of Robotics: Science and Systems, July 2024 (Published) arXiv Project Page DOI URL BibTeX
Empirical Inference Conference Paper Stitching Manifolds: Leveraging Interaction to Compose Object Representations into Scenes Keurti, H., Schölkopf, B., Aceituno, P. V., Grewe, B. ICML 2024 Workshop on Geometry-grounded Representation Learning and Generative Modeling (GRaM), July 2024 (Published) URL BibTeX
Empirical Inference Conference Paper Targeted Reduction of Causal Models Kekić, A., Schölkopf, B., Besserve, M. 40th Conference on Uncertainty in Artificial Intelligence (UAI), 244:1953-1980, Proceedings of Machine Learning Research, (Editors: Kiyavash, Negar and Mooij, Joris M.), PMLR, July 2024 (Published) arXiv URL BibTeX
Empirical Inference Conference Paper Analyzing the Role of Semantic Representations in the Era of Large Language Models Jin*, Z., Chen*, Y., Gonzalez*, F., Liu, J., Zhang, J., Michael, J., Schölkopf, B., Diab, M. Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL), Volume 1: Long Papers:3781-3798, (Editors: Duh, Kevin and Gomez, Helena and Bethard, Steven), Association for Computational Linguistics, June 2024, *equal contribution (Published) arXiv DOI URL BibTeX
Empirical Inference Conference Paper GraphDreamer: Compositional 3D Scene Synthesis from Scene Graphs Gao, G., Liu, W., Chen, A., Geiger, A., Schölkopf, B. IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 21295-21304, IEEE, CVPR, January 2024 (Published) DOI URL BibTeX
Empirical Inference Conference Paper Can Large Language Models Infer Causation from Correlation? Jin, Z., Liu, J., Lyu, Z., Poff, S., Sachan, M., Mihalcea, R., Diab*, M., Schölkopf*, B. The Twelfth International Conference on Learning Representations (ICLR), May 2024, *equal supervision (Published) arXiv URL BibTeX
Empirical Inference Conference Paper Causal Modeling with Stationary Diffusions Lorch, L., Krause*, A., Schölkopf*, B. Proceedings of the 27th International Conference on Artificial Intelligence and Statistics (AISTATS), 238:1927-1935, Proceedings of Machine Learning Research, (Editors: Dasgupta, Sanjoy and Mandt, Stephan and Li, Yingzhen), PMLR, May 2024, *equal supervision (Published) URL BibTeX
Empirical Inference Conference Paper Delphic Offline Reinforcement Learning under Nonidentifiable Hidden Confounding Pace, A., Yèche, H., Schölkopf, B., Rätsch, G., Tennenholtz, G. The Twelfth International Conference on Learning Representations (ICLR), May 2024 (Published) arXiv BibTeX
Perceiving Systems Empirical Inference Conference Paper Ghost on the Shell: An Expressive Representation of General 3D Shapes Liu, Z., Feng, Y., Xiu, Y., Liu, W., Paull, L., Black, M. J., Schölkopf, B. In Proceedings of the Twelfth International Conference on Learning Representations (ICLR), The Twelfth International Conference on Learning Representations (ICLR), May 2024 (Published) Home Code Video Project BibTeX
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Empirical Inference Conference Paper Robustness of Nonlinear Representation Learning Buchholz, S., Schölkopf, B. Proceedings of the 41st International Conference on Machine Learning (ICML), 235:4785-4821, 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 (Published) URL BibTeX
Empirical Inference Learning and Dynamical Systems Robotics Conference Paper Safe & Accurate at Speed with Tendons: A Robot Arm for Exploring Dynamic Motion Guist, S., Schneider, J., Ma, H., Chen, L., Berenz, V., Martus, J., Ott, H., Grüninger, F., Muehlebach, M., Fiene, J., et al. Proceedings of Robotics: Science and Systems, July 2024 (Published) arXiv Project Page DOI URL BibTeX
Empirical Inference Conference Paper Stitching Manifolds: Leveraging Interaction to Compose Object Representations into Scenes Keurti, H., Schölkopf, B., Aceituno, P. V., Grewe, B. ICML 2024 Workshop on Geometry-grounded Representation Learning and Generative Modeling (GRaM), July 2024 (Published) URL BibTeX
Empirical Inference Conference Paper Targeted Reduction of Causal Models Kekić, A., Schölkopf, B., Besserve, M. 40th Conference on Uncertainty in Artificial Intelligence (UAI), 244:1953-1980, Proceedings of Machine Learning Research, (Editors: Kiyavash, Negar and Mooij, Joris M.), PMLR, July 2024 (Published) arXiv URL BibTeX
Empirical Inference Conference Paper Analyzing the Role of Semantic Representations in the Era of Large Language Models Jin*, Z., Chen*, Y., Gonzalez*, F., Liu, J., Zhang, J., Michael, J., Schölkopf, B., Diab, M. Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL), Volume 1: Long Papers:3781-3798, (Editors: Duh, Kevin and Gomez, Helena and Bethard, Steven), Association for Computational Linguistics, June 2024, *equal contribution (Published) arXiv DOI URL BibTeX
Empirical Inference Conference Paper GraphDreamer: Compositional 3D Scene Synthesis from Scene Graphs Gao, G., Liu, W., Chen, A., Geiger, A., Schölkopf, B. IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 21295-21304, IEEE, CVPR, January 2024 (Published) DOI URL BibTeX
Empirical Inference Conference Paper Can Large Language Models Infer Causation from Correlation? Jin, Z., Liu, J., Lyu, Z., Poff, S., Sachan, M., Mihalcea, R., Diab*, M., Schölkopf*, B. The Twelfth International Conference on Learning Representations (ICLR), May 2024, *equal supervision (Published) arXiv URL BibTeX
Empirical Inference Conference Paper Causal Modeling with Stationary Diffusions Lorch, L., Krause*, A., Schölkopf*, B. Proceedings of the 27th International Conference on Artificial Intelligence and Statistics (AISTATS), 238:1927-1935, Proceedings of Machine Learning Research, (Editors: Dasgupta, Sanjoy and Mandt, Stephan and Li, Yingzhen), PMLR, May 2024, *equal supervision (Published) URL BibTeX
Empirical Inference Conference Paper Delphic Offline Reinforcement Learning under Nonidentifiable Hidden Confounding Pace, A., Yèche, H., Schölkopf, B., Rätsch, G., Tennenholtz, G. The Twelfth International Conference on Learning Representations (ICLR), May 2024 (Published) arXiv BibTeX
Perceiving Systems Empirical Inference Conference Paper Ghost on the Shell: An Expressive Representation of General 3D Shapes Liu, Z., Feng, Y., Xiu, Y., Liu, W., Paull, L., Black, M. J., Schölkopf, B. In Proceedings of the Twelfth International Conference on Learning Representations (ICLR), The Twelfth International Conference on Learning Representations (ICLR), May 2024 (Published) Home Code Video Project BibTeX
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