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 | 106 | 2019 |
Islands of stability and recurrence times in AdS SR Green, A Maillard, L Lehner, SL Liebling Physical Review D 92 (8), 084001, 2015 | 69 | 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 | 59 | 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 | 52 | 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 | 48 | 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 | 42 | 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 | 40 | 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 | 34 | 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 | 32 | 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 | 18 | 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 | 17 | 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 | 14 | 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 | 12 | 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 |
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 |
Injectivity of ReLU networks: perspectives from statistical physics A Maillard, AS Bandeira, D Belius, I Dokmanić, S Nakajima arXiv preprint arXiv:2302.14112, 2023 | 3 | 2023 |
Fitting an ellipsoid to random points: predictions using the replica method A Maillard, D Kunisky IEEE Transactions on Information Theory, 2024 | 2 | 2024 |
Exact threshold for approximate ellipsoid fitting of random points A Maillard, AS Bandeira arXiv preprint arXiv:2310.05787, 2023 | 2 | 2023 |