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. 2407.19353
  4. Cited By
A spring-block theory of feature learning in deep neural networks

A spring-block theory of feature learning in deep neural networks

28 July 2024
Chengzhi Shi
Liming Pan
Ivan Dokmanić
    AI4CE
ArXivPDFHTML

Papers citing "A spring-block theory of feature learning in deep neural networks"

3 / 3 papers shown
Title
A Law of Next-Token Prediction in Large Language Models
A Law of Next-Token Prediction in Large Language Models
Hangfeng He
Weijie J. Su
27
5
0
24 Aug 2024
Asymptotics of feature learning in two-layer networks after one
  gradient-step
Asymptotics of feature learning in two-layer networks after one gradient-step
Hugo Cui
Luca Pesce
Yatin Dandi
Florent Krzakala
Yue M. Lu
Lenka Zdeborová
Bruno Loureiro
MLT
44
16
0
07 Feb 2024
The Benefits of Reusing Batches for Gradient Descent in Two-Layer
  Networks: Breaking the Curse of Information and Leap Exponents
The Benefits of Reusing Batches for Gradient Descent in Two-Layer Networks: Breaking the Curse of Information and Leap Exponents
Yatin Dandi
Emanuele Troiani
Luca Arnaboldi
Luca Pesce
Lenka Zdeborová
Florent Krzakala
MLT
59
24
0
05 Feb 2024
1