| Entropy and mutual information in models of deep neural networks M Gabrié, A Manoel, C Luneau, J Barbier, N Macris, F Krzakala, ... Advances in Neural Information Processing Systems 2018 (31), 1821--183, 2019 | 109 | 2019 |
| Training Restricted Boltzmann Machine via the Thouless-Anderson-Palmer free energy M Gabrié, EW Tramel, F Krzakala Advances in Neural Information Processing Systems, 640-648, 2015 | 46 | 2015 |
| Deterministic and Generalized Framework for Unsupervised Learning with Restricted Boltzmann Machines EW Tramel, M Gabrié, A Manoel, F Caltagirone, F Krzakala Physical Review X 8 (4), 041006, 2018 | 28 | 2018 |
| Inferring sparsity: Compressed sensing using generalized restricted Boltzmann machines EW Tramel, A Manoel, F Caltagirone, M Gabrié, F Krzakala 2016 IEEE Information Theory Workshop (ITW), 265-269, 2016 | 25 | 2016 |
| Mean-field inference methods for neural networks M Gabrié Journal of Physics A: Mathematical and Theoretical 53 (22), 223002, 2020 | 21 | 2020 |
| Phase transitions in the q-coloring of random hypergraphs M Gabrié, V Dani, G Semerjian, L Zdeborová Journal of Physics A: Mathematical and Theoretical 50 (50), 505002, 2017 | 16 | 2017 |
| Adaptive Monte Carlo augmented with normalizing flows M Gabrié, GM Rotskoff, E Vanden-Eijnden arXiv preprint arXiv:2105.12603, 2021 | 2 | 2021 |
| Phase Retrieval with Holography and Untrained Priors: Tackling the Challenges of Low-Photon Nanoscale Imaging H Lawrence, DA Barmherzig, H Li, M Eickenberg, M Gabrié arXiv preprint arXiv:2012.07386, 2020 | 2 | 2020 |
| Towards an understanding of neural networks: mean-field incursions M Gabrié Paris Sciences et Lettres (ComUE), 2019 | 2 | 2019 |
| Efficient Bayesian Sampling Using Normalizing Flows to Assist Markov Chain Monte Carlo Methods M Gabrié, GM Rotskoff, E Vanden-Eijnden ICML Workshop on Invertible Neural Networks, Normalizing Flows, and Explicit …, 2021 | 1 | 2021 |
| Blind calibration for compressed sensing: State evolution and an online algorithm M Gabrié, J Barbier, F Krzakala, L Zdeborová Journal of Physics A: Mathematical and Theoretical 53 (33), 334004, 2020 | 1 | 2020 |
| Adaptation of the Independent Metropolis-Hastings Sampler with Normalizing Flow Proposals JA Brofos, M Gabrié, MA Brubaker, RR Lederman arXiv preprint arXiv:2110.13216, 2021 | | 2021 |
| Low-Photon Holographic Phase Retrieval via a Deep Decoder Neural Network H Lawrence, DA Barmherzig, M Eickenberg, M Gabrie Optics and Photonics for Sensing the Environment, JTu5A. 19, 2021 | | 2021 |
| Dual Training of Energy-Based Models with Overparametrized Shallow Neural Networks C Domingo-Enrich, A Bietti, M Gabrié, J Bruna, E Vanden-Eijnden arXiv preprint arXiv:2107.05134, 2021 | | 2021 |
| On the interplay between data structure and loss function in classification problems S d'Ascoli, M Gabrié, L Sagun, G Biroli arXiv preprint arXiv:2103.05524, 2021 | | 2021 |
| Blind Calibration for Sparse Regression: A State Evolution Analysis M Gabrié, J Barbier, F Krzakala, L Zdeborová 2019 IEEE 8th International Workshop on Computational Advances in Multi …, 2019 | | 2019 |
| Proceedings of the third" international Traveling Workshop on Interactions between Sparse models and Technology"(iTWIST'16) V Abrol, O Absil, PA Absil, S Anthoine, P Antoine, T Arildsen, N Bertin, ... arXiv preprint arXiv:1609.04167, 2016 | | 2016 |
Florent KrzakalaÉcole polytechnique fédérale de LausanneVerified email at epfl.ch
