| Sampling with flows, diffusion, and autoregressive neural networks from a spin-glass perspective D Ghio, Y Dandi, F Krzakala, L Zdeborová Proceedings of the National Academy of Sciences 121 (27), e2311810121, 2024 | 56 | 2024 |
| High-dimensional non-convex landscapes and gradient descent dynamics T Bonnaire, D Ghio, K Krishnamurthy, F Mignacco, A Yamamura, G Biroli Journal of Statistical Mechanics: Theory and Experiment 2024 (10), 104004, 2024 | 8 | 2024 |
| Bayes-optimal inference for spreading processes on random networks D Ghio, ALM Aragon, I Biazzo, L Zdeborová Phys. Rev. E 108 (4), 044308, 2023 | 8 | 2023 |
| Inference in spreading processes with neural-network priors D Ghio, F Boncoraglio, L Zdeborová Physical Review E 113 (1), 015301, 2026 | | 2026 |
| Tackling Hardness using Spin Glass Physics: from Inference to Sampling through Diffusions D Ghio École Polytechnique Fédérale de Lausanne, 2025 | | 2025 |
| Group ID U13824 Affiliated authors Arnaboldi, Luca D Barbier, G Dalle, Y Dandi, V Erba, H Francelet, D Ghio, F Krzakala, ... | | |
Lenka ZdeborováEPFL, SwitzerlandVerified email at epfl.ch
