Antoine Maillard

According to our database, Antoine Maillard authored at least 17 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Fitting an Ellipsoid to Random Points: Predictions Using the Replica Method.

Antoine Maillard, Dmitriy Kunisky

IEEE Trans. Inf. Theory, October, 2024

Bayes-optimal learning of an extensive-width neural network from quadratically many samples.

Antoine Maillard, Emanuele Troiani, Simon Martin, Florent Krzakala, Lenka Zdeborová

CoRR, 2024

2023

Phase Retrieval: From Computational Imaging to Machine Learning: A tutorial.

Jonathan Dong, Lorenzo Valzania, Antoine Maillard, Thanh-An Pham, Sylvain Gigan, Michael Unser

IEEE Signal Process. Mag., 2023

Exact threshold for approximate ellipsoid fitting of random points.

Antoine Maillard, Afonso S. Bandeira

CoRR, 2023

Fitting an ellipsoid to a quadratic number of random points.

Afonso S. Bandeira, Antoine Maillard, Shahar Mendelson, Elliot Paquette

CoRR, 2023

Injectivity of ReLU networks: perspectives from statistical physics.

Antoine Maillard, Afonso S. Bandeira, David Belius, Ivan Dokmanic, Shuta Nakajima

CoRR, 2023

2022

On free energy barriers in Gaussian priors and failure of MCMC for high-dimensional unimodal distributions.

Afonso S. Bandeira, Antoine Maillard, Richard Nickl, Sven Wang

CoRR, 2022

A remark on Kashin's discrepancy argument and partial coloring in the Komlós conjecture.

Afonso S. Bandeira, Antoine Maillard, Nikita Zhivotovskiy

CoRR, 2022

Optimal denoising of rotationally invariant rectangular matrices.

Emanuele Troiani, Vittorio Erba, Florent Krzakala, Antoine Maillard, Lenka Zdeborová

Proceedings of the Mathematical and Scientific Machine Learning, 2022

2021

The Spiked Matrix Model With Generative Priors.

Benjamin Aubin, Bruno Loureiro, Antoine Maillard, Florent Krzakala, Lenka Zdeborová

IEEE Trans. Inf. Theory, 2021

Perturbative construction of mean-field equations in extensive-rank matrix factorization and denoising.

Antoine Maillard, Florent Krzakala, Marc Mézard, Lenka Zdeborová

CoRR, 2021

Construction of optimal spectral methods in phase retrieval.

Antoine Maillard, Florent Krzakala, Yue M. Lu, Lenka Zdeborová

Proceedings of the Mathematical and Scientific Machine Learning, 2021

2020

Phase retrieval in high dimensions: Statistical and computational phase transitions.

Antoine Maillard, Bruno Loureiro, Florent Krzakala, Lenka Zdeborová

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Landscape Complexity for the Empirical Risk of Generalized Linear Models.

Antoine Maillard, Gérard Ben Arous, Giulio Biroli

Proceedings of Mathematical and Scientific Machine Learning, 2020

2019

High-temperature Expansions and Message Passing Algorithms.

Antoine Maillard, Laura Foini, Alejandro Lage Castellanos, Florent Krzakala, Marc Mézard, Lenka Zdeborová

CoRR, 2019

2018

The committee machine: Computational to statistical gaps in learning a two-layers neural network.

Benjamin Aubin, Antoine Maillard, Jean Barbier, Florent Krzakala, Nicolas Macris, Lenka Zdeborová

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

The Mutual Information in Random Linear Estimation Beyond i.i.d. Matrices.

Jean Barbier, Nicolas Macris, Antoine Maillard, Florent Krzakala

Proceedings of the 2018 IEEE International Symposium on Information Theory, 2018