Crystalline Stochastic Systems and Curvature Driven Flows. - Gérard Ben Arous; Allen R. Tannenbaum; Ofer Zeitouni (Mathematical Systems Theory in Biology, Communications, Computation, and Finance, 2003)

Algorithms for stochastic approximations of curvature flows. - Gozde B. Unal; Delphine Nain; Gérard Ben Arous; Nahum Shimkin; Allen R. Tannenbaum; Ofer Zeitouni (ICIP (2), 2003)

A two armed bandit type problem. - Michel Benaïm; Gérard Ben Arous (Int. J. Game Theory, 2003)

The Loss Surface of Multilayer Networks. - Anna Choromanska; Mikael Henaff; Michaël Mathieu; Gérard Ben Arous; Yann LeCun (CoRR, 2014)

The Loss Surfaces of Multilayer Networks. - Anna Choromanska; Mikael Henaff; Michaël Mathieu; Gérard Ben Arous; Yann LeCun (AISTATS, 2015)

Open Problem: The landscape of the loss surfaces of multilayer networks. - Anna Choromanska; Yann LeCun; Gérard Ben Arous (COLT, 2015)

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 (ICML, 2018)

Free Energy Wells and Overlap Gap Property in Sparse PCA. - Gérard Ben Arous; Alexander S. Wein; Ilias Zadik (COLT, 2020)

Landscape Complexity for the Empirical Risk of Generalized Linear Models. - Antoine Maillard; Gérard Ben Arous; Giulio Biroli (MSML, 2020)

A classification for the performance of online SGD for high-dimensional inference. - Gérard Ben Arous; Reza Gheissari; Aukosh Jagannath (CoRR, 2020)

Long Random Matrices and Tensor Unfolding. - Gérard Ben Arous; Daniel Zhengyu Huang; Jiaoyang Huang (CoRR, 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)

High-dimensional limit theorems for SGD: Effective dynamics and critical scaling. - Gérard Ben Arous; Reza Gheissari; Aukosh Jagannath (NeurIPS, 2022)

High-dimensional SGD aligns with emerging outlier eigenspaces. - Gérard Ben Arous; Reza Gheissari; Jiaoyang Huang; Aukosh Jagannath (ICLR, 2024)

High-dimensional optimization for multi-spiked tensor PCA. - 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)

Permutation recovery of spikes in noisy high-dimensional tensor estimation. - Gérard Ben Arous; Cédric Gerbelot; Vanessa Piccolo (CoRR, 2024)