| Causal confusion in imitation learning P de Haan, D Jayaraman, S Levine Advances in Neural Information Processing Systems, 11698-11709, 2019 | 22 | 2019 |
| Explorations in Homeomorphic Variational Auto-Encoding L Falorsi, P de Haan, TR Davidson, N De Cao, M Weiler, P Forré, ... ICML 2018 workshop on Theoretical Foundations and Applications of Deep …, 2018 | 19 | 2018 |
| Reparameterizing Distributions on Lie Groups L Falorsi, P de Haan, TR Davidson, P Forré AISTATS 2019, 2019 | 18 | 2019 |
| Covariance in Physics and Convolutional Neural Networks MCN Cheng, V Anagiannis, M Weiler, P de Haan, TS Cohen, M Welling arXiv preprint arXiv:1906.02481, 2019 | 3 | 2019 |
| Topological Constraints on Homeomorphic Auto-Encoding P de Haan, L Falorsi NeurIPS 2018 Workshop on Integration of Deep Learning Theories, 2018 | 3 | 2018 |
| Natural Graph Networks P de Haan, T Cohen, M Welling arXiv preprint arXiv:2007.08349, 2020 | 2 | 2020 |
| Gauge Equivariant Mesh CNNs: Anisotropic convolutions on geometric graphs P de Haan, M Weiler, T Cohen, M Welling arXiv preprint arXiv:2003.05425, 2020 | 2 | 2020 |
| Gauge Equivariant Spherical CNNs B Kicanaoglu, P de Haan, T Cohen | | 2019 |
