How Two-Layer Neural Networks Learn, One (Giant) Step at a Time

How Two-Layer Neural Networks Learn, One (Giant) Step at a Time

29 May 2023

Florent Krzakala

Ludovic Stephan

Papers citing "How Two-Layer Neural Networks Learn, One (Giant) Step at a Time"

11 / 11 papers shown

Title
Deep Linear Network Training Dynamics from Random Initialization: Data, Width, Depth, and Hyperparameter Transfer Blake Bordelon C. Pehlevan AI4CE 59 1 0 04 Feb 2025
Mean-Field Analysis for Learning Subspace-Sparse Polynomials with Gaussian Input Ziang Chen Rong Ge MLT 56 1 0 10 Jan 2025
An Analysis Framework for Understanding Deep Neural Networks Based on Network Dynamics Yuchen Lin Yong Zhang Sihan Feng Hong Zhao 26 0 0 05 Jan 2025
How Feature Learning Can Improve Neural Scaling Laws Blake Bordelon Alexander B. Atanasov C. Pehlevan 46 11 0 26 Sep 2024
A Theory of Non-Linear Feature Learning with One Gradient Step in Two-Layer Neural Networks Behrad Moniri Donghwan Lee Hamed Hassani Edgar Dobriban MLT 24 19 0 11 Oct 2023
SGD learning on neural networks: leap complexity and saddle-to-saddle dynamics Emmanuel Abbe Enric Boix-Adserà Theodor Misiakiewicz FedML MLT 76 72 0 21 Feb 2023
Learning Single-Index Models with Shallow Neural Networks A. Bietti Joan Bruna Clayton Sanford M. Song 160 65 0 27 Oct 2022
The Eigenlearning Framework: A Conservation Law Perspective on Kernel Regression and Wide Neural Networks James B. Simon Madeline Dickens Dhruva Karkada M. DeWeese 37 26 0 08 Oct 2021
The large learning rate phase of deep learning: the catapult mechanism Aitor Lewkowycz Yasaman Bahri Ethan Dyer Jascha Narain Sohl-Dickstein Guy Gur-Ari ODL 150 232 0 04 Mar 2020
Spectrum Dependent Learning Curves in Kernel Regression and Wide Neural Networks Blake Bordelon Abdulkadir Canatar C. Pehlevan 131 199 0 07 Feb 2020
Trainability and Accuracy of Neural Networks: An Interacting Particle System Approach Grant M. Rotskoff Eric Vanden-Eijnden 59 114 0 02 May 2018