ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2410.18938
  4. Cited By
A Random Matrix Theory Perspective on the Spectrum of Learned Features
  and Asymptotic Generalization Capabilities

A Random Matrix Theory Perspective on the Spectrum of Learned Features and Asymptotic Generalization Capabilities

24 October 2024
Yatin Dandi
Luca Pesce
Hugo Cui
Florent Krzakala
Yue M. Lu
Bruno Loureiro
    MLT
ArXiv (abs)PDFHTML

Papers citing "A Random Matrix Theory Perspective on the Spectrum of Learned Features and Asymptotic Generalization Capabilities"

4 / 4 papers shown
Title
LIFT the Veil for the Truth: Principal Weights Emerge after Rank Reduction for Reasoning-Focused Supervised Fine-Tuning
LIFT the Veil for the Truth: Principal Weights Emerge after Rank Reduction for Reasoning-Focused Supervised Fine-Tuning
Zihang Liu
Tianyu Pang
Oleg Balabanov
Chaoqun Yang
Tianjin Huang
L. Yin
Yaoqing Yang
Shiwei Liu
LRM
64
1
0
01 Jun 2025
Survey on Algorithms for multi-index models
Survey on Algorithms for multi-index models
Joan Bruna
Daniel Hsu
105
3
0
07 Apr 2025
A Theory of Non-Linear Feature Learning with One Gradient Step in Two-Layer Neural Networks
A Theory of Non-Linear Feature Learning with One Gradient Step in Two-Layer Neural Networks
Behrad Moniri
Donghwan Lee
Hamed Hassani
Yan Sun
MLT
104
23
0
11 Oct 2023
Learning time-scales in two-layers neural networks
Learning time-scales in two-layers neural networks
Raphael Berthier
Andrea Montanari
Kangjie Zhou
198
38
0
28 Feb 2023
1