Antoine Maillard

35 papers A* 5B 1Journal 26Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A Noise Sensitivity Exponent Controls Large Statistical-to-Computational Gaps in Single- and Multi-Index Models. CoRR Leonardo Defilippis, Florent Krzakala, Bruno Loureiro, Antoine Maillard
2026	J	`jnl`	Optimal scaling laws in learning hierarchical multi-index models. CoRR Leonardo Defilippis, Florent Krzakala, Bruno Loureiro, Antoine Maillard
2026	J	`jnl`	Topological Exploration of High-Dimensional Empirical Risk Landscapes: general approach, and applications to phase retrieval. CoRR Antoine Maillard, Tony Bonnaire, Giulio Biroli
2025	A*	`conf`	Fundamental Limits of Matrix Sensing: Exact Asymptotics, Universality, and Applications. COLT Yizhou Xu, Antoine Maillard, Lenka Zdeborová, Florent Krzakala
2025	J	`jnl`	Fundamental Limits of Matrix Sensing: Exact Asymptotics, Universality, and Applications. CoRR Yizhou Xu, Antoine Maillard, Lenka Zdeborová, Florent Krzakala
2025	J	`jnl`	Randomstrasse101: Open Problems of 2024. CoRR Afonso S. Bandeira, Anastasia Kireeva, Antoine Maillard, Almut Rödder
2024	J	`jnl`	Average-case matrix discrepancy: satisfiability bounds. CoRR Antoine Maillard
2024	A*	`conf`	Bayes-optimal learning of an extensive-width neural network from quadratically many samples. NeurIPS Antoine Maillard, Emanuele Troiani, Simon Martin, Florent Krzakala, Lenka Zdeborová
2024	J	`jnl`	Bayes-optimal learning of an extensive-width neural network from quadratically many samples. CoRR Antoine Maillard, Emanuele Troiani, Simon Martin, Florent Krzakala, Lenka Zdeborová
2024	J	`jnl`	Bilinear Sequence Regression: A Model for Learning from Long Sequences of High-dimensional Tokens. CoRR Vittorio Erba, Emanuele Troiani, Luca Biggio, Antoine Maillard, Lenka Zdeborová
2024	J	`jnl`	Fitting an Ellipsoid to Random Points: Predictions Using the Replica Method. IEEE Trans. Inf. Theory Antoine Maillard, Dmitriy Kunisky
2023	J	`jnl`	Exact threshold for approximate ellipsoid fitting of random points. CoRR Antoine Maillard, Afonso S. Bandeira
2023	J	`jnl`	Fitting an ellipsoid to a quadratic number of random points. CoRR Afonso S. Bandeira, Antoine Maillard, Shahar Mendelson, Elliot Paquette
2023	J	`jnl`	Fitting an ellipsoid to random points: predictions using the replica method. CoRR Antoine Maillard, Dmitriy Kunisky
2023	J	`jnl`	Injectivity of ReLU networks: perspectives from statistical physics. CoRR Antoine Maillard, Afonso S. Bandeira, David Belius, Ivan Dokmanic, Shuta Nakajima
2023	J	`jnl`	Phase Retrieval: From Computational Imaging to Machine Learning: A tutorial. IEEE Signal Process. Mag. Jonathan Dong, Lorenzo Valzania, Antoine Maillard, Thanh-An Pham, Sylvain Gigan, Michael Unser
2022	J	`jnl`	A remark on Kashin's discrepancy argument and partial coloring in the Komlós conjecture. CoRR Afonso S. Bandeira, Antoine Maillard, Nikita Zhivotovskiy
2022	J	`jnl`	On free energy barriers in Gaussian priors and failure of MCMC for high-dimensional unimodal distributions. CoRR Afonso S. Bandeira, Antoine Maillard, Richard Nickl, Sven Wang
2022	—	`conf`	Optimal denoising of rotationally invariant rectangular matrices. MSML Emanuele Troiani, Vittorio Erba, Florent Krzakala, Antoine Maillard, Lenka Zdeborová
2022	J	`jnl`	Optimal denoising of rotationally invariant rectangular matrices. CoRR Emanuele Troiani, Vittorio Erba, Florent Krzakala, Antoine Maillard, Lenka Zdeborová
2021	—	`conf`	Construction of optimal spectral methods in phase retrieval. MSML Antoine Maillard, Florent Krzakala, Yue M. Lu, Lenka Zdeborová
2021	J	`jnl`	Perturbative construction of mean-field equations in extensive-rank matrix factorization and denoising. CoRR Antoine Maillard, Florent Krzakala, Marc Mézard, Lenka Zdeborová
2021	J	`jnl`	The Spiked Matrix Model With Generative Priors. IEEE Trans. Inf. Theory Benjamin Aubin, Bruno Loureiro, Antoine Maillard, Florent Krzakala, Lenka Zdeborová
2020	J	`jnl`	Construction of optimal spectral methods in phase retrieval. CoRR Antoine Maillard, Florent Krzakala, Yue M. Lu, Lenka Zdeborová
2020	—	`conf`	Landscape Complexity for the Empirical Risk of Generalized Linear Models. MSML Antoine Maillard, Gérard Ben Arous, Giulio Biroli
2020	A*	`conf`	Phase retrieval in high dimensions: Statistical and computational phase transitions. NeurIPS Antoine Maillard, Bruno Loureiro, Florent Krzakala, Lenka Zdeborová
2020	J	`jnl`	Phase retrieval in high dimensions: Statistical and computational phase transitions. CoRR Antoine Maillard, Bruno Loureiro, Florent Krzakala, Lenka Zdeborová
2019	J	`jnl`	High-temperature Expansions and Message Passing Algorithms. CoRR Antoine Maillard, Laura Foini, Alejandro Lage Castellanos, Florent Krzakala, Marc Mézard, Lenka Zdeborová
2019	J	`jnl`	Landscape Complexity for the Empirical Risk of Generalized Linear Models. CoRR Antoine Maillard, Gérard Ben Arous, Giulio Biroli
2019	A*	`conf`	The spiked matrix model with generative priors. NeurIPS Benjamin Aubin, Bruno Loureiro, Antoine Maillard, Florent Krzakala, Lenka Zdeborová
2019	J	`jnl`	The spiked matrix model with generative priors. CoRR Benjamin Aubin, Bruno Loureiro, Antoine Maillard, Florent Krzakala, Lenka Zdeborová
2018	B	`conf`	The Mutual Information in Random Linear Estimation Beyond i.i.d. Matrices. ISIT Jean Barbier, Nicolas Macris, Antoine Maillard, Florent Krzakala
2018	J	`jnl`	The Mutual Information in Random Linear Estimation Beyond i.i.d. Matrices. CoRR Jean Barbier, Nicolas Macris, Antoine Maillard, Florent Krzakala
2018	A*	`conf`	The committee machine: Computational to statistical gaps in learning a two-layers neural network. NeurIPS Benjamin Aubin, Antoine Maillard, Jean Barbier, Florent Krzakala, Nicolas Macris, Lenka Zdeborová
2018	J	`jnl`	The committee machine: Computational to statistical gaps in learning a two-layers neural network. CoRR Benjamin Aubin, Antoine Maillard, Jean Barbier, Florent Krzakala, Nicolas Macris, Lenka Zdeborová