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1805.00915
Cited By
Trainability and Accuracy of Neural Networks: An Interacting Particle System Approach
2 May 2018
Grant M. Rotskoff
Eric Vanden-Eijnden
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Papers citing
"Trainability and Accuracy of Neural Networks: An Interacting Particle System Approach"
16 / 16 papers shown
Title
Information-theoretic reduction of deep neural networks to linear models in the overparametrized proportional regime
Francesco Camilli
D. Tieplova
Eleonora Bergamin
Jean Barbier
39
0
0
06 May 2025
Don't be lazy: CompleteP enables compute-efficient deep transformers
Nolan Dey
Bin Claire Zhang
Lorenzo Noci
Mufan Bill Li
Blake Bordelon
Shane Bergsma
C. Pehlevan
Boris Hanin
Joel Hestness
37
0
0
02 May 2025
Deep Linear Network Training Dynamics from Random Initialization: Data, Width, Depth, and Hyperparameter Transfer
Blake Bordelon
C. Pehlevan
AI4CE
59
1
0
04 Feb 2025
Mean-Field Analysis for Learning Subspace-Sparse Polynomials with Gaussian Input
Ziang Chen
Rong Ge
MLT
53
1
0
10 Jan 2025
Emergence of meta-stable clustering in mean-field transformer models
Giuseppe Bruno
Federico Pasqualotto
Andrea Agazzi
42
6
0
30 Oct 2024
From Lazy to Rich: Exact Learning Dynamics in Deep Linear Networks
Clémentine Dominé
Nicolas Anguita
A. Proca
Lukas Braun
D. Kunin
P. Mediano
Andrew M. Saxe
30
3
0
22 Sep 2024
Symmetries in Overparametrized Neural Networks: A Mean-Field View
Javier Maass Martínez
Joaquin Fontbona
FedML
MLT
29
2
0
30 May 2024
Repetita Iuvant: Data Repetition Allows SGD to Learn High-Dimensional Multi-Index Functions
Luca Arnaboldi
Yatin Dandi
Florent Krzakala
Luca Pesce
Ludovic Stephan
59
11
0
24 May 2024
High-dimensional scaling limits and fluctuations of online least-squares SGD with smooth covariance
Krishnakumar Balasubramanian
Promit Ghosal
Ye He
23
5
0
03 Apr 2023
Online Learning for the Random Feature Model in the Student-Teacher Framework
Roman Worschech
B. Rosenow
28
0
0
24 Mar 2023
Stochastic Modified Flows, Mean-Field Limits and Dynamics of Stochastic Gradient Descent
Benjamin Gess
Sebastian Kassing
Vitalii Konarovskyi
DiffM
16
6
0
14 Feb 2023
Learning threshold neurons via the "edge of stability"
Kwangjun Ahn
Sébastien Bubeck
Sinho Chewi
Y. Lee
Felipe Suarez
Yi Zhang
MLT
31
36
0
14 Dec 2022
Proximal Mean Field Learning in Shallow Neural Networks
Alexis M. H. Teter
Iman Nodozi
A. Halder
FedML
23
1
0
25 Oct 2022
A blob method for inhomogeneous diffusion with applications to multi-agent control and sampling
Katy Craig
Karthik Elamvazhuthi
M. Haberland
O. Turanova
17
15
0
25 Feb 2022
Deep limits and cut-off phenomena for neural networks
B. Avelin
A. Karlsson
AI4CE
15
2
0
21 Apr 2021
The Loss Surfaces of Multilayer Networks
A. Choromańska
Mikael Henaff
Michaël Mathieu
Gerard Ben Arous
Yann LeCun
ODL
175
1,182
0
30 Nov 2014
1