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. 2302.06210
  4. Cited By
Precise Asymptotic Analysis of Deep Random Feature Models

Precise Asymptotic Analysis of Deep Random Feature Models

13 February 2023
David Bosch
Ashkan Panahi
B. Hassibi
ArXivPDFHTML

Papers citing "Precise Asymptotic Analysis of Deep Random Feature Models"

14 / 14 papers shown
Title
Information-theoretic reduction of deep neural networks to linear models in the overparametrized proportional regime
Information-theoretic reduction of deep neural networks to linear models in the overparametrized proportional regime
Francesco Camilli
D. Tieplova
Eleonora Bergamin
Jean Barbier
109
0
0
06 May 2025
Asymptotic Analysis of Two-Layer Neural Networks after One Gradient Step under Gaussian Mixtures Data with Structure
Asymptotic Analysis of Two-Layer Neural Networks after One Gradient Step under Gaussian Mixtures Data with Structure
Samet Demir
Zafer Dogan
MLT
34
0
0
02 Mar 2025
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
Yatin Dandi
Luca Pesce
Hugo Cui
Florent Krzakala
Yue M. Lu
Bruno Loureiro
MLT
37
1
0
24 Oct 2024
MUSO: Achieving Exact Machine Unlearning in Over-Parameterized Regimes
MUSO: Achieving Exact Machine Unlearning in Over-Parameterized Regimes
Ruikai Yang
M. He
Zhengbao He
Youmei Qiu
X. Huang
MU
BDL
37
1
0
11 Oct 2024
Random Features Outperform Linear Models: Effect of Strong Input-Label
  Correlation in Spiked Covariance Data
Random Features Outperform Linear Models: Effect of Strong Input-Label Correlation in Spiked Covariance Data
Samet Demir
Zafer Dogan
35
1
0
30 Sep 2024
Asymptotics of Learning with Deep Structured (Random) Features
Asymptotics of Learning with Deep Structured (Random) Features
Dominik Schröder
Daniil Dmitriev
Hugo Cui
Bruno Loureiro
53
6
0
21 Feb 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
55
16
0
07 Feb 2024
Towards Understanding the Word Sensitivity of Attention Layers: A Study
  via Random Features
Towards Understanding the Word Sensitivity of Attention Layers: A Study via Random Features
Simone Bombari
Marco Mondelli
31
3
0
05 Feb 2024
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
Edgar Dobriban
MLT
37
19
0
11 Oct 2023
How Two-Layer Neural Networks Learn, One (Giant) Step at a Time
How Two-Layer Neural Networks Learn, One (Giant) Step at a Time
Yatin Dandi
Florent Krzakala
Bruno Loureiro
Luca Pesce
Ludovic Stephan
MLT
34
25
0
29 May 2023
Learning curves for deep structured Gaussian feature models
Learning curves for deep structured Gaussian feature models
Jacob A. Zavatone-Veth
C. Pehlevan
MLT
20
11
0
01 Mar 2023
Deterministic equivalent and error universality of deep random features
  learning
Deterministic equivalent and error universality of deep random features learning
Dominik Schröder
Hugo Cui
Daniil Dmitriev
Bruno Loureiro
MLT
29
28
0
01 Feb 2023
Bayes-optimal Learning of Deep Random Networks of Extensive-width
Bayes-optimal Learning of Deep Random Networks of Extensive-width
Hugo Cui
Florent Krzakala
Lenka Zdeborová
BDL
18
35
0
01 Feb 2023
Spectral Evolution and Invariance in Linear-width Neural Networks
Spectral Evolution and Invariance in Linear-width Neural Networks
Zhichao Wang
A. Engel
Anand D. Sarwate
Ioana Dumitriu
Tony Chiang
40
14
0
11 Nov 2022
1