Gérard Ben Arous

According to our database, Gérard Ben Arous authored at least 18 papers between 2003 and 2025.

Collaborative distances:

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

2025

Learning quadratic neural networks in high dimensions: SGD dynamics and scaling laws.

Gérard Ben Arous, Murat A. Erdogdu, Nuri Mert Vural, Denny Wu

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

2024

Permutation recovery of spikes in noisy high-dimensional tensor estimation.

Gérard Ben Arous, Cédric Gerbelot, Vanessa Piccolo

CoRR, 2024

Stochastic gradient descent in high dimensions for multi-spiked tensor PCA.

Gérard Ben Arous, Cédric Gerbelot, Vanessa Piccolo

CoRR, 2024

High-dimensional optimization for multi-spiked tensor PCA.

Gérard Ben Arous, Cédric Gerbelot, Vanessa Piccolo

CoRR, 2024

High-dimensional SGD aligns with emerging outlier eigenspaces.

Gérard Ben Arous, Reza Gheissari, Jiaoyang Huang, Aukosh Jagannath

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2022

High-dimensional limit theorems for SGD: Effective dynamics and critical scaling.

Gérard Ben Arous, Reza Gheissari, Aukosh Jagannath

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

Online stochastic gradient descent on non-convex losses from high-dimensional inference.

Gérard Ben Arous, Reza Gheissari, Aukosh Jagannath

J. Mach. Learn. Res., 2021

Long Random Matrices and Tensor Unfolding.

Gérard Ben Arous, Daniel Zhengyu Huang, Jiaoyang Huang

CoRR, 2021

2020

A classification for the performance of online SGD for high-dimensional inference.

Gérard Ben Arous, Reza Gheissari, Aukosh Jagannath

CoRR, 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

Free Energy Wells and Overlap Gap Property in Sparse PCA.

Gérard Ben Arous, Alexander S. Wein, Ilias Zadik

Proceedings of the Conference on Learning Theory, 2020

2018

Comparing Dynamics: Deep Neural Networks versus Glassy Systems.

Marco Baity-Jesi, Levent Sagun, Mario Geiger, Stefano Spigler, Gérard Ben Arous, Chiara Cammarota, Yann LeCun, Matthieu Wyart, Giulio Biroli

Proceedings of the 35th International Conference on Machine Learning, 2018

2015

Open Problem: The landscape of the loss surfaces of multilayer networks.

Anna Choromanska, Yann LeCun, Gérard Ben Arous

Proceedings of The 28th Conference on Learning Theory, 2015

The Loss Surfaces of Multilayer Networks.

Anna Choromanska, Mikael Henaff, Michaël Mathieu, Gérard Ben Arous, Yann LeCun

Proceedings of the Eighteenth International Conference on Artificial Intelligence and Statistics, 2015

2014

The Loss Surface of Multilayer Networks.

Anna Choromanska, Mikael Henaff, Michaël Mathieu, Gérard Ben Arous, Yann LeCun

CoRR, 2014

2003

A two armed bandit type problem.

Michel Benaïm, Gérard Ben Arous

Int. J. Game Theory, 2003

Algorithms for stochastic approximations of curvature flows.

Gozde B. Unal, Delphine Nain, Gérard Ben Arous, Nahum Shimkin, Allen R. Tannenbaum, Ofer Zeitouni

Proceedings of the 2003 International Conference on Image Processing, 2003

Crystalline Stochastic Systems and Curvature Driven Flows.

Gérard Ben Arous, Allen R. Tannenbaum, Ofer Zeitouni

Proceedings of the Mathematical Systems Theory in Biology, 2003