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High-dimensional Asymptotics of Denoising Autoencoders

High-dimensional Asymptotics of Denoising Autoencoders

18 May 2023
Hugo Cui
Lenka Zdeborová
ArXivPDFHTML

Papers citing "High-dimensional Asymptotics of Denoising Autoencoders"

8 / 8 papers shown
Title
KAE: Kolmogorov-Arnold Auto-Encoder for Representation Learning
Fangchen Yu
Ruilizhen Hu
Yidong Lin
Yuqi Ma
Zhenghao Huang
Wenye Li
37
0
0
03 Jan 2025
Statistical Mechanics of Min-Max Problems
Statistical Mechanics of Min-Max Problems
Yuma Ichikawa
Koji Hukushima
31
1
0
09 Sep 2024
On Regularization via Early Stopping for Least Squares Regression
On Regularization via Early Stopping for Least Squares Regression
Rishi Sonthalia
Jackie Lok
E. Rebrova
33
2
0
06 Jun 2024
Compression of Structured Data with Autoencoders: Provable Benefit of
  Nonlinearities and Depth
Compression of Structured Data with Autoencoders: Provable Benefit of Nonlinearities and Depth
Kevin Kögler
A. Shevchenko
Hamed Hassani
Marco Mondelli
MLT
25
0
0
07 Feb 2024
A phase transition between positional and semantic learning in a
  solvable model of dot-product attention
A phase transition between positional and semantic learning in a solvable model of dot-product attention
Hugo Cui
Freya Behrens
Florent Krzakala
Lenka Zdeborová
MLT
30
11
0
06 Feb 2024
Analysis of learning a flow-based generative model from limited sample
  complexity
Analysis of learning a flow-based generative model from limited sample complexity
Hugo Cui
Florent Krzakala
Eric Vanden-Eijnden
Lenka Zdeborová
DRL
41
17
0
05 Oct 2023
Mapping of attention mechanisms to a generalized Potts model
Mapping of attention mechanisms to a generalized Potts model
Riccardo Rende
Federica Gerace
A. Laio
Sebastian Goldt
17
22
0
14 Apr 2023
Spectrum Dependent Learning Curves in Kernel Regression and Wide Neural
  Networks
Spectrum Dependent Learning Curves in Kernel Regression and Wide Neural Networks
Blake Bordelon
Abdulkadir Canatar
C. Pehlevan
144
201
0
07 Feb 2020
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