Arous, Gerard Ben

7 publications

NeurIPS 2025 Learning Quadratic Neural Networks in High Dimensions: SGD Dynamics and Scaling Laws Gerard Ben Arous, Murat A Erdogdu, Nuri Mert Vural, Denny Wu

ICLR 2024 High-Dimensional SGD Aligns with Emerging Outlier Eigenspaces Gerard Ben Arous, Reza Gheissari, Jiaoyang Huang, Aukosh Jagannath

NeurIPS 2022 High-Dimensional Limit Theorems for SGD: Effective Dynamics and Critical Scaling Gerard Ben Arous, Reza Gheissari, Aukosh Jagannath

JMLR 2021 Online Stochastic Gradient Descent on Non-Convex Losses from High-Dimensional Inference Gerard Ben Arous, Reza Gheissari, Aukosh Jagannath

ICML 2018 Comparing Dynamics: Deep Neural Networks Versus Glassy Systems Marco Baity-Jesi, Levent Sagun, Mario Geiger, Stefano Spigler, Gerard Ben Arous, Chiara Cammarota, Yann LeCun, Matthieu Wyart, Giulio Biroli

COLT 2015 Open Problem: The Landscape of the Loss Surfaces of Multilayer Networks Anna Choromanska, Yann LeCun, Gérard Ben Arous

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