| The committee machine: Computational to statistical gaps in learning a two-layers neural network B Aubin, A Maillard, J Barbier, F Krzakala, N Macris, L Zdeborová Journal of Statistical Mechanics: Theory and Experiment 2019 (12), 124023, 2019 | 113 | 2019 |
| Islands of stability and recurrence times in AdS SR Green, A Maillard, L Lehner, SL Liebling Physical Review D 92 (8), 084001, 2015 | 70 | 2015 |
| The mutual information in random linear estimation beyond iid matrices J Barbier, N Macris, A Maillard, F Krzakala 2018 IEEE International Symposium on Information Theory (ISIT), 1390-1394, 2018 | 64 | 2018 |
| The spiked matrix model with generative priors B Aubin, B Loureiro, A Maillard, F Krzakala, L Zdeborová IEEE Transactions on Information Theory 67 (2), 1156-1181, 2020 | 61 | 2020 |
| Phase retrieval in high dimensions: Statistical and computational phase transitions A Maillard, B Loureiro, F Krzakala, L Zdeborová Advances in Neural Information Processing Systems 33, 11071-11082, 2020 | 60 | 2020 |
| Phase Retrieval: From Computational Imaging to Machine Learning: A tutorial J Dong, L Valzania, A Maillard, T Pham, S Gigan, M Unser IEEE Signal Processing Magazine 40 (1), 45-57, 2023 | 59 | 2023 |
| Landscape complexity for the empirical risk of generalized linear models A Maillard, GB Arous, G Biroli Mathematical and Scientific Machine Learning, 287-327, 2020 | 43 | 2020 |
| High-temperature expansions and message passing algorithms A Maillard, L Foini, AL Castellanos, F Krzakala, M Mézard, L Zdeborová Journal of Statistical Mechanics: Theory and Experiment 2019 (11), 113301, 2019 | 41 | 2019 |
| Perturbative construction of mean-field equations in extensive-rank matrix factorization and denoising A Maillard, F Krzakala, M Mézard, L Zdeborová Journal of Statistical Mechanics: Theory and Experiment 2022 (8), 083301, 2022 | 36 | 2022 |
| Quantum Monte Carlo algorithm for out-of-equilibrium Green's functions at long times C Bertrand, O Parcollet, A Maillard, X Waintal Physical Review B 100 (12), 125129, 2019 | 33 | 2019 |
| Vlasov description of the effects of nonlinear chromaticity on transverse coherent beam instabilities M Schenk, X Buffat, K Li, A Maillard Physical Review Accelerators and Beams 21 (8), 084402, 2018 | 20 | 2018 |
| Optimal denoising of rotationally invariant rectangular matrices E Troiani, V Erba, F Krzakala, A Maillard, L Zdeborová Mathematical and Scientific Machine Learning, 97-112, 2022 | 18 | 2022 |
| Construction of optimal spectral methods in phase retrieval A Maillard, F Krzakala, YM Lu, L Zdeborová Mathematical and Scientific Machine Learning, 693-720, 2022 | 16 | 2022 |
| On free energy barriers in Gaussian priors and failure of cold start MCMC for high-dimensional unimodal distributions AS Bandeira, A Maillard, R Nickl, S Wang Philosophical Transactions of the Royal Society A 381 (2247), 20220150, 2023 | 15 | 2023 |
| Large deviations of extreme eigenvalues of generalized sample covariance matrices A Maillard Europhysics Letters 133 (2), 20005, 2021 | 7 | 2021 |
| Fitting an ellipsoid to a quadratic number of random points AS Bandeira, A Maillard, S Mendelson, E Paquette arXiv preprint arXiv:2307.01181, 2023 | 5 | 2023 |
| Injectivity of ReLU networks: perspectives from statistical physics A Maillard, AS Bandeira, D Belius, I Dokmanić, S Nakajima arXiv preprint arXiv:2302.14112, 2023 | 5 | 2023 |
| RF Quadrupole Structures for Transverse Landau Damping in Circular Accelerators M Schenk, X Buffat, LR Carver, A Grudiev, K Li, A Maillard, E Métral, ... Proc. of International Particle Accelerator Conference, 2516-2519, 2017 | 4 | 2017 |
| Bayes-optimal learning of an extensive-width neural network from quadratically many samples A Maillard, E Troiani, S Martin, F Krzakala, L Zdeborová arXiv preprint arXiv:2408.03733, 2024 | 2 | 2024 |
| Fitting an ellipsoid to random points: predictions using the replica method A Maillard, D Kunisky IEEE Transactions on Information Theory, 2024 | 2 | 2024 |
Florent KrzakalaÉcole polytechnique fédérale de LausanneVerified email at epfl.ch
