| Structured Context and High-Coverage Grammar for Conversational Question Answering over Knowledge Graphs P Marion, PK Nowak, F Piccinno EMNLP 2021, 8813–8829, 2021 | 42 | 2021 |
| Framing RNN as a kernel method: A neural ODE approach A Fermanian, P Marion, JP Vert, G Biau Advances in Neural Information Processing Systems 34, 3121-3134, 2021 | 36 | 2021 |
| A tool for custom construction of QMC and RQMC point sets P L’Ecuyer, P Marion, M Godin, F Puchhammer International Conference on Monte Carlo and Quasi-Monte Carlo Methods in …, 2020 | 26 | 2020 |
| Humanity's Last Exam L Phan, A Gatti, Z Han, N Li, J Hu, H Zhang, CBC Zhang, M Shaaban, ... arXiv preprint arXiv:2501.14249, 2025 | 24 | 2025 |
| Implicit regularization of deep residual networks towards neural ODEs P Marion, YH Wu, ME Sander, G Biau The Twelfth International Conference on Learning Representations, 2023 | 19 | 2023 |
| Generalization bounds for neural ordinary differential equations and deep residual networks P Marion Advances in Neural Information Processing Systems 36, 2023 | 19 | 2023 |
| Scaling resnets in the large-depth regime P Marion, A Fermanian, G Biau, JP Vert arXiv preprint arXiv:2206.06929, 2022 | 14 | 2022 |
| Implicit Diffusion: Efficient Optimization through Stochastic Sampling P Marion, A Korba, P Bartlett, M Blondel, V De Bortoli, A Doucet, ... arXiv preprint arXiv:2402.05468, 2024 | 13 | 2024 |
| An algorithm to compute the t-value of a digital net and of its projections P Marion, M Godin, P L’Ecuyer Journal of Computational and Applied Mathematics 371, 112669, 2020 | 10 | 2020 |
| Leveraging the two-timescale regime to demonstrate convergence of neural networks P Marion, R Berthier Advances in Neural Information Processing Systems 36, 2023 | 8 | 2023 |
| Deep linear networks for regression are implicitly regularized towards flat minima P Marion, L Chizat NeurIPS 2024, 2024 | 5 | 2024 |
| LatNet Builder: A general software tool for constructing highly uniform point sets P L’Ecuyer, M Godin, A Jemel, P Marion, D Munger | 5 | 2019 |
| Attention layers provably solve single-location regression P Marion, R Berthier, G Biau, C Boyer arXiv preprint arXiv:2410.01537, 2024 | 2 | 2024 |
| Taking a Big Step: Large Learning Rates in Denoising Score Matching Prevent Memorization YH Wu, P Marion, G Biau, C Boyer arXiv preprint arXiv:2502.03435, 2025 | | 2025 |
| Mathematics of deep learning: generalization, optimization, continuous-time models P Marion Sorbonne Université, 2023 | | 2023 |
Gérard BiauProfessor, Sorbonne University, ParisDirección de correo verificada de sorbonne-universite.fr
