| Learning reversible symplectic dynamics R Valperga, K Webster, D Turaev, V Klein, J Lamb Learning for Dynamics and Control Conference, 906-916, 2022 | 13 | 2022 |
| Neural modulation fields for conditional cone beam neural tomography S Papa, DM Knigge, R Valperga, N Moriakov, M Kofinas, JJ Sonke, ... arXiv preprint arXiv:2307.08351, 2023 | 2 | 2023 |
| Learning Lie Group Symmetry Transformations with Neural Networks A Gabel, V Klein, R Valperga, E Gavves | 1 | 2023 |
| Equivariant Neural Fields For Symmetry Preserving Continous PDE Forecasting DM Knigge, D Wessels, R Valperga, S Papa, S Gavves, EJ Bekkers ICLR 2024 Workshop on AI4DifferentialEquations In Science, 2024 | | 2024 |
| How to Train Neural Field Representations: A Comprehensive Study and Benchmark S Papa, R Valperga, D Knigge, M Kofinas, P Lippe, JJ Sonke, E Gavves arXiv preprint arXiv:2312.10531, 2023 | | 2023 |
| Data Augmentations in Deep Weight Spaces A Shamsian, DW Zhang, A Navon, Y Zhang, M Kofinas, I Achituve, ... arXiv preprint arXiv:2311.08851, 2023 | | 2023 |
| Geometric Contrastive Learning Y Koishekenov, S Vadgama, R Valperga, EJ Bekkers Proceedings of the IEEE/CVF International Conference on Computer Vision, 206-215, 2023 | | 2023 |
| Contrastive Implicit Representation Learning R Valperga, S Papa, DW Romero, M Kofinas, J Sonke, E Gavves | | |
