| Cladder: Assessing causal reasoning in language models Z Jin, Y Chen, F Leeb, L Gresele, O Kamal, Z Lyu, K Blin, ... Advances in Neural Information Processing Systems 36, 31038-31065, 2023 | 102 | 2023 |
| Se3-pose-nets: Structured deep dynamics models for visuomotor control A Byravan, F Leeb, F Meier, D Fox 2018 IEEE International Conference on Robotics and Automation (ICRA), 3339-3346, 2018 | 62 | 2018 |
| Spatially resolving the condensing effect of cholesterol in lipid bilayers F Leeb, L Maibaum Biophysical journal 115 (11), 2179-2188, 2018 | 54 | 2018 |
| Se3-pose-nets: Structured deep dynamics models for visuomotor planning and control A Byravan, F Leeb, F Meier, D Fox arXiv preprint arXiv:1710.00489, 2017 | 39 | 2017 |
| Exploring the latent space of autoencoders with interventional assays F Leeb, S Bauer, M Besserve, B Schölkopf Advances in neural information processing systems 35, 21562-21574, 2022 | 17 | 2022 |
| Structural autoencoders improve representations for generation and transfer F Leeb, Y Annadani, S Bauer, B Schölkopf arXiv preprint arXiv:2006.07796 2, 2020 | 12 | 2020 |
| Structure by architecture: Structured representations without regularization F Leeb, G Lanzillotta, Y Annadani, M Besserve, S Bauer, B Schölkopf arXiv preprint arXiv:2006.07796, 2020 | 9 | 2020 |
| Structure by architecture: Disentangled representations without regularization F Leeb, G Lanzillotta, Y Annadani, M Besserve, S Bauer, B Schölkopf | 9 | 2020 |
| Motion-nets: 6d tracking of unknown objects in unseen environments using rgb F Leeb, A Byravan, D Fox arXiv preprint arXiv:1910.13942, 2019 | 8 | 2019 |
| Interventional assays for the latent space of autoencoders F Leeb, S Bauer, B Schölkopf arXiv preprint arXiv:2106.16091, 2021 | 3 | 2021 |
| A diverse multilingual news headlines dataset from around the world F Leeb, B Schölkopf arXiv preprint arXiv:2403.19352, 2024 | 2 | 2024 |
| Causality can systematically address the monsters under the bench (marks) F Leeb, Z Jin, B Schölkopf arXiv preprint arXiv:2502.05085, 2025 | | 2025 |
| omni-fig: Unleashing Project Configuration and Organization in Python F Leeb Journal of Open Source Software 9 (98), 5350, 2024 | | 2024 |
| On the interventional consistency of autoencoders G Lanzillotta, F Leeb, S Bauer, B Schölkopf | | |
Bernhard SchölkopfDirector, Max Planck Institute for Intelligent Systems & ELLIS Institute Tübingen; Professor at ETHEmail verificata su tuebingen.mpg.de