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Flexible Multi-layer Sparse Approximations of Matrices and Applications
v1v2 (latest)

Flexible Multi-layer Sparse Approximations of Matrices and Applications

24 June 2015
Luc Le Magoarou
Rémi Gribonval
ArXiv (abs)PDFHTML

Papers citing "Flexible Multi-layer Sparse Approximations of Matrices and Applications"

14 / 14 papers shown
Title
Two Sparse Matrices are Better than One: Sparsifying Neural Networks with Double Sparse Factorization
Two Sparse Matrices are Better than One: Sparsifying Neural Networks with Double Sparse Factorization
Vladimír Boža
Vladimír Macko
86
1
0
27 Sep 2024
Learning distributed representations with efficient SoftMax normalization
Learning distributed representations with efficient SoftMax normalization
Lorenzo DallÁmico
Enrico Belliardo
46
1
0
30 Mar 2023
Monarch: Expressive Structured Matrices for Efficient and Accurate
  Training
Monarch: Expressive Structured Matrices for Efficient and Accurate Training
Tri Dao
Beidi Chen
N. Sohoni
Arjun D Desai
Michael Poli
Jessica Grogan
Alexander Liu
Aniruddh Rao
Atri Rudra
Christopher Ré
141
97
0
01 Apr 2022
Identifiability in Two-Layer Sparse Matrix Factorization
Identifiability in Two-Layer Sparse Matrix Factorization
Léon Zheng
E. Riccietti
Rémi Gribonval
CML
44
6
0
04 Oct 2021
Efficient Identification of Butterfly Sparse Matrix Factorizations
Efficient Identification of Butterfly Sparse Matrix Factorizations
Léon Zheng
E. Riccietti
Rémi Gribonval
72
6
0
04 Oct 2021
A Flexible Optimization Framework for Regularized Matrix-Tensor
  Factorizations with Linear Couplings
A Flexible Optimization Framework for Regularized Matrix-Tensor Factorizations with Linear Couplings
Carla Schenker
Jérémy E. Cohen
E. Acar
56
22
0
19 Jul 2020
QuicK-means: Acceleration of K-means by learning a fast transform
QuicK-means: Acceleration of K-means by learning a fast transform
Luc Giffon
Valentin Emiya
L. Ralaivola
Hachem Kadri
21
2
0
23 Aug 2019
Approximation spaces of deep neural networks
Approximation spaces of deep neural networks
Rémi Gribonval
Gitta Kutyniok
M. Nielsen
Felix Voigtländer
111
126
0
03 May 2019
Learning Fast Algorithms for Linear Transforms Using Butterfly
  Factorizations
Learning Fast Algorithms for Linear Transforms Using Butterfly Factorizations
Tri Dao
Albert Gu
Matthew Eichhorn
Atri Rudra
Christopher Ré
144
108
0
14 Mar 2019
Stable safe screening and structured dictionaries for faster L1
  regularization
Stable safe screening and structured dictionaries for faster L1 regularization
C. Dantas
Rémi Gribonval
83
5
0
17 Dec 2018
Multi-Layer Convolutional Sparse Modeling: Pursuit and Dictionary
  Learning
Multi-Layer Convolutional Sparse Modeling: Pursuit and Dictionary Learning
Jeremias Sulam
Vardan Papyan
Yaniv Romano
Michael Elad
140
111
0
29 Aug 2017
Compressive K-means
Compressive K-means
Nicolas Keriven
Nicolas M Tremblay
Y. Traonmilin
Rémi Gribonval
93
53
0
27 Oct 2016
Recursive nearest agglomeration (ReNA): fast clustering for
  approximation of structured signals
Recursive nearest agglomeration (ReNA): fast clustering for approximation of structured signals
Andrés Hoyos-Idrobo
Gaël Varoquaux
J. Kahn
Bertrand Thirion
76
22
0
15 Sep 2016
Sketching for Large-Scale Learning of Mixture Models
Sketching for Large-Scale Learning of Mixture Models
Nicolas Keriven
Anthony Bourrier
Rémi Gribonval
Patrick Pérez
76
75
0
09 Jun 2016
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