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Scalable Convolutional Dictionary Learning with Constrained Recurrent
  Sparse Auto-encoders

Scalable Convolutional Dictionary Learning with Constrained Recurrent Sparse Auto-encoders

12 July 2018
Bahareh Tolooshams
Sourav Dey
Demba E. Ba
    BDL
ArXiv (abs)PDFHTML

Papers citing "Scalable Convolutional Dictionary Learning with Constrained Recurrent Sparse Auto-encoders"

13 / 13 papers shown
RoseCDL: Robust and Scalable Convolutional Dictionary Learning for Rare-event Detection
RoseCDL: Robust and Scalable Convolutional Dictionary Learning for Rare-event Detection
Jad Yehya
Mansour Benbakoura
Cédric Allain
Benoit Malézieux
M. Kowalski
Thomas Moreau
381
0
0
09 Sep 2025
Mixture Model Auto-Encoders: Deep Clustering through Dictionary Learning
Mixture Model Auto-Encoders: Deep Clustering through Dictionary LearningIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2021
Alexander Lin
Andrew H. Song
Demba E. Ba
343
5
0
10 Oct 2021
Stable and Interpretable Unrolled Dictionary Learning
Stable and Interpretable Unrolled Dictionary Learning
Bahareh Tolooshams
Demba E. Ba
574
22
0
31 May 2021
Learning to Optimize: A Primer and A Benchmark
Learning to Optimize: A Primer and A BenchmarkJournal of machine learning research (JMLR), 2021
Tianlong Chen
Xiaohan Chen
Wuyang Chen
Howard Heaton
Jialin Liu
Zinan Lin
W. Yin
693
315
0
23 Mar 2021
On the convergence of group-sparse autoencoders
On the convergence of group-sparse autoencoders
Emmanouil Theodosis
Bahareh Tolooshams
Pranay Tankala
Abiy Tasissa
Demba E. Ba
382
2
0
13 Feb 2021
K-Deep Simplex: Deep Manifold Learning via Local Dictionaries
K-Deep Simplex: Deep Manifold Learning via Local DictionariesIEEE Transactions on Signal Processing (TSP), 2020
Pranay Tankala
Abiy Tasissa
James M. Murphy
Demba E. Ba
492
12
0
03 Dec 2020
Unfolding Neural Networks for Compressive Multichannel Blind
  Deconvolution
Unfolding Neural Networks for Compressive Multichannel Blind Deconvolution
Bahareh Tolooshams
S. Mulleti
Demba E. Ba
Yonina C. Eldar
236
9
0
22 Oct 2020
Super-efficiency of automatic differentiation for functions defined as a
  minimum
Super-efficiency of automatic differentiation for functions defined as a minimumInternational Conference on Machine Learning (ICML), 2020
Pierre Ablin
Gabriel Peyré
Thomas Moreau
242
42
0
10 Feb 2020
RandNet: deep learning with compressed measurements of images
RandNet: deep learning with compressed measurements of imagesInternational Workshop on Machine Learning for Signal Processing (MLSP), 2019
Thomas Chang
Bahareh Tolooshams
Demba E. Ba
261
13
0
25 Aug 2019
Convolutional Dictionary Learning in Hierarchical Networks
Convolutional Dictionary Learning in Hierarchical NetworksIEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP), 2019
Javier Zazo
Bahareh Tolooshams
Demba E. Ba
BDL
173
5
0
23 Jul 2019
Convolutional dictionary learning based auto-encoders for natural
  exponential-family distributions
Convolutional dictionary learning based auto-encoders for natural exponential-family distributions
Bahareh Tolooshams
Andrew H. Song
S. Temereanca
Demba E. Ba
BDL
393
0
0
07 Jul 2019
Deep Residual Autoencoders for Expectation Maximization-inspired
  Dictionary Learning
Deep Residual Autoencoders for Expectation Maximization-inspired Dictionary Learning
Bahareh Tolooshams
Sourav Dey
Demba E. Ba
262
4
0
18 Apr 2019
Deeply-Sparse Signal rePresentations ($\text{D}\text{S}^2\text{P}$)
Deeply-Sparse Signal rePresentations (DS2P\text{D}\text{S}^2\text{P}DS2P)IEEE Transactions on Signal Processing (IEEE Trans. Signal Process.), 2018
Demba E. Ba
486
7
0
05 Jul 2018
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