| A Probabilistic Graph Coupling View of Dimension Reduction H Van Assel, T Espinasse, J Chiquet, F Picard Advances in Neural Information Processing Systems 35, 10696-10708, 2022 | 10 | 2022 |
| Interpolating between Clustering and Dimensionality Reduction with Gromov-Wasserstein H Van Assel, C Vincent-Cuaz, T Vayer, R Flamary, N Courty OTML@NeurIPS2023, 2023 | 4 | 2023 |
| SNEkhorn: Dimension Reduction with Symmetric Entropic Affinities H Van Assel, T Vayer, R Flamary, N Courty Advances in Neural Information Processing Systems 36, 2024 | 3 | 2024 |
| Distributional Reduction: Unifying Dimensionality Reduction and Clustering with Gromov-Wasserstein Projection H Van Assel, C Vincent-Cuaz, N Courty, R Flamary, P Frossard, T Vayer arXiv preprint arXiv:2402.02239, 2024 | | 2024 |
| Apparatus and method for training parametric policy V Moens, H Van Assel, H Bou-Ammar US Patent App. 18/364,601, 2023 | | 2023 |
| Optimal Transport with Adaptive Regularisation H Van Assel, T Vayer, R Flamary, N Courty OTML@NeurIPS2023, 2023 | | 2023 |
| Objective unsupervised learning of behavioral dynamics at the frontier of information bottleneck principles, physics informed priors, and maximum mean discrepancy statistical … A Blanc, C Barré, H Van Assel, CL Vestergaard, JB Masson Biophysical Journal 121 (3), 272a, 2022 | | 2022 |
