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Mean-field Analysis on Two-layer Neural Networks from a Kernel
Perspective

v1v2 (latest)

Mean-field Analysis on Two-layer Neural Networks from a Kernel Perspective

International Conference on Machine Learning (ICML), 2024

22 March 2024

Shokichi Takakura

ArXiv (abs)PDF HTML

Papers citing "Mean-field Analysis on Two-layer Neural Networks from a Kernel Perspective"

5 / 5 papers shown

Mirror Mean-Field Langevin Dynamics

Mirror Mean-Field Langevin Dynamics

273

1

0

05 May 2025

Ultra-fast feature learning for the training of two-layer neural networks in the two-timescale regime

Ultra-fast feature learning for the training of two-layer neural networks in the two-timescale regime

Raphael Barboni

François-Xavier Vialard

305

2

0

25 Apr 2025

Learning Multi-Index Models with Neural Networks via Mean-Field Langevin Dynamics

Learning Multi-Index Models with Neural Networks via Mean-Field Langevin DynamicsInternational Conference on Learning Representations (ICLR), 2024

Alireza Mousavi-Hosseini

Murat A. Erdogdu

343

12

0

14 Aug 2024

Neural network learns low-dimensional polynomials with SGD near the
information-theoretic limit

Neural network learns low-dimensional polynomials with SGD near the information-theoretic limit

369

32

0

03 Jun 2024

Learning with Norm Constrained, Over-parameterized, Two-layer Neural
Networks

Learning with Norm Constrained, Over-parameterized, Two-layer Neural Networks

415

8

0

29 Apr 2024