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Statistical limits of dictionary learning: random matrix theory and the
  spectral replica method

Statistical limits of dictionary learning: random matrix theory and the spectral replica method

14 September 2021
Jean Barbier
N. Macris
ArXivPDFHTML

Papers citing "Statistical limits of dictionary learning: random matrix theory and the spectral replica method"

6 / 6 papers shown
Title
On the phase diagram of extensive-rank symmetric matrix denoising beyond rotational invariance
On the phase diagram of extensive-rank symmetric matrix denoising beyond rotational invariance
Jean Barbier
Francesco Camilli
Justin Ko
Koki Okajima
70
6
0
04 Nov 2024
Bilinear Sequence Regression: A Model for Learning from Long Sequences of High-dimensional Tokens
Bilinear Sequence Regression: A Model for Learning from Long Sequences of High-dimensional Tokens
Vittorio Erba
Emanuele Troiani
Luca Biggio
Antoine Maillard
Lenka Zdeborová
122
1
0
24 Oct 2024
Information-Theoretic Limits for the Matrix Tensor Product
Information-Theoretic Limits for the Matrix Tensor Product
Galen Reeves
55
29
0
22 May 2020
Random matrix ensembles involving Gaussian Wigner and Wishart matrices,
  and biorthogonal structure
Random matrix ensembles involving Gaussian Wigner and Wishart matrices, and biorthogonal structure
Santosh Kumar
26
20
0
06 Apr 2015
Phase transitions and sample complexity in Bayes-optimal matrix
  factorization
Phase transitions and sample complexity in Bayes-optimal matrix factorization
Y. Kabashima
Florent Krzakala
M. Mézard
A. Sakata
Lenka Zdeborová
106
107
0
06 Feb 2014
Statistical Mechanics of Dictionary Learning
Statistical Mechanics of Dictionary Learning
A. Sakata
Y. Kabashima
62
24
0
28 Mar 2012
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