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. 2305.15598
  4. Cited By
ReLU Neural Networks with Linear Layers are Biased Towards Single- and Multi-Index Models

ReLU Neural Networks with Linear Layers are Biased Towards Single- and Multi-Index Models

24 May 2023
Suzanna Parkinson
Greg Ongie
Rebecca Willett
ArXivPDFHTML

Papers citing "ReLU Neural Networks with Linear Layers are Biased Towards Single- and Multi-Index Models"

15 / 15 papers shown
Title
Emergence in non-neural models: grokking modular arithmetic via average
  gradient outer product
Emergence in non-neural models: grokking modular arithmetic via average gradient outer product
Neil Rohit Mallinar
Daniel Beaglehole
Libin Zhu
Adityanarayanan Radhakrishnan
Parthe Pandit
Misha Belkin
35
3
0
29 Jul 2024
Efficient adjustment for complex covariates: Gaining efficiency with
  DOPE
Efficient adjustment for complex covariates: Gaining efficiency with DOPE
Alexander Mangulad Christgau
Niels Richard Hansen
29
2
0
20 Feb 2024
Feature learning as alignment: a structural property of gradient descent
  in non-linear neural networks
Feature learning as alignment: a structural property of gradient descent in non-linear neural networks
Daniel Beaglehole
Ioannis Mitliagkas
Atish Agarwala
MLT
24
2
0
07 Feb 2024
Linear Recursive Feature Machines provably recover low-rank matrices
Linear Recursive Feature Machines provably recover low-rank matrices
Adityanarayanan Radhakrishnan
Misha Belkin
D. Drusvyatskiy
51
8
0
09 Jan 2024
Function-Space Optimality of Neural Architectures with Multivariate Nonlinearities
Function-Space Optimality of Neural Architectures with Multivariate Nonlinearities
Rahul Parhi
Michael Unser
39
4
0
05 Oct 2023
Mechanism of feature learning in convolutional neural networks
Mechanism of feature learning in convolutional neural networks
Daniel Beaglehole
Adityanarayanan Radhakrishnan
Parthe Pandit
Misha Belkin
FAtt
MLT
24
14
0
01 Sep 2023
Autoencoders for discovering manifold dimension and coordinates in data
  from complex dynamical systems
Autoencoders for discovering manifold dimension and coordinates in data from complex dynamical systems
Kevin Zeng
Carlos E. Pérez De Jesús
Andrew J Fox
M. Graham
AI4CE
35
12
0
01 May 2023
Learning Single-Index Models with Shallow Neural Networks
Learning Single-Index Models with Shallow Neural Networks
A. Bietti
Joan Bruna
Clayton Sanford
M. Song
134
65
0
27 Oct 2022
Implicit Bias of Large Depth Networks: a Notion of Rank for Nonlinear
  Functions
Implicit Bias of Large Depth Networks: a Notion of Rank for Nonlinear Functions
Arthur Jacot
31
24
0
29 Sep 2022
Neural Networks Efficiently Learn Low-Dimensional Representations with
  SGD
Neural Networks Efficiently Learn Low-Dimensional Representations with SGD
Alireza Mousavi-Hosseini
Sejun Park
M. Girotti
Ioannis Mitliagkas
Murat A. Erdogdu
MLT
307
48
0
29 Sep 2022
Parallel Deep Neural Networks Have Zero Duality Gap
Parallel Deep Neural Networks Have Zero Duality Gap
Yifei Wang
Tolga Ergen
Mert Pilanci
59
10
0
13 Oct 2021
Understanding neural networks with reproducing kernel Banach spaces
Understanding neural networks with reproducing kernel Banach spaces
Francesca Bartolucci
E. De Vito
Lorenzo Rosasco
S. Vigogna
36
48
0
20 Sep 2021
Near-Minimax Optimal Estimation With Shallow ReLU Neural Networks
Near-Minimax Optimal Estimation With Shallow ReLU Neural Networks
Rahul Parhi
Robert D. Nowak
46
37
0
18 Sep 2021
Initialization and Regularization of Factorized Neural Layers
Initialization and Regularization of Factorized Neural Layers
M. Khodak
Neil A. Tenenholtz
Lester W. Mackey
Nicolò Fusi
52
56
0
03 May 2021
Norm-Based Capacity Control in Neural Networks
Norm-Based Capacity Control in Neural Networks
Behnam Neyshabur
Ryota Tomioka
Nathan Srebro
111
551
0
27 Feb 2015
1