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 | 103 | 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 | 63 | 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 | 57 | 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 | 49 | 2020 |
Landscape complexity for the empirical risk of generalized linear models A Maillard, GB Arous, G Biroli Mathematical and Scientific Machine Learning, 287-327, 2020 | 40 | 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 | 39 | 2019 |
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 | 35 | 2023 |
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 |
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 | 29 | 2022 |
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 | 16 | 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 | 13 | 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 | 7 | 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 | 3 | 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 | 3 | 2017 |
Experiments and theory on beam stabilization with second-order chromaticity M Schenk, X Buffat, LR Carver, K Li, E Métral Proc. of ICFA Advanced Beam Dynamics Workshop on High-Intensity and High …, 2018 | 2 | 2018 |
Exact threshold for approximate ellipsoid fitting of random points A Maillard, AS Bandeira arXiv preprint arXiv:2310.05787, 2023 | 1 | 2023 |
Fitting an ellipsoid to random points: predictions using the replica method A Maillard, D Kunisky arXiv preprint arXiv:2310.01169, 2023 | 1 | 2023 |