ResearchTrend.AI
  • Papers
  • Communities
  • Organizations
  • Events
  • Blog
  • Pricing
  • Feedback
  • Contact Sales
Papers
Communities
Social Events
Terms and Conditions
Pricing
Contact Sales
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1708.03735
  4. Cited By
Sparse Coding and Autoencoders
v1v2 (latest)

Sparse Coding and Autoencoders

12 August 2017
Akshay Rangamani
Anirbit Mukherjee
A. Basu
T. Ganapathi
Ashish Arora
S. Chin
T. Tran
ArXiv (abs)PDFHTML

Papers citing "Sparse Coding and Autoencoders"

11 / 11 papers shown
Title
Sparse Autoencoder Neural Operators: Model Recovery in Function Spaces
Sparse Autoencoder Neural Operators: Model Recovery in Function Spaces
Bahareh Tolooshams
Ailsa Shen
A. Anandkumar
0
0
0
03 Sep 2025
From Flat to Hierarchical: Extracting Sparse Representations with Matching Pursuit
From Flat to Hierarchical: Extracting Sparse Representations with Matching Pursuit
Valérie Costa
Thomas Fel
Ekdeep Singh Lubana
Bahareh Tolooshams
Demba Ba
121
2
0
03 Jun 2025
Measuring Progress in Dictionary Learning for Language Model
  Interpretability with Board Game Models
Measuring Progress in Dictionary Learning for Language Model Interpretability with Board Game Models
Adam Karvonen
Benjamin Wright
Can Rager
Rico Angell
Jannik Brinkmann
Logan Smith
C. M. Verdun
David Bau
Samuel Marks
141
35
0
31 Jul 2024
Robust Representation Learning for Privacy-Preserving Machine Learning:
  A Multi-Objective Autoencoder Approach
Robust Representation Learning for Privacy-Preserving Machine Learning: A Multi-Objective Autoencoder Approach
Sofiane Ouaari
Ali Burak Ünal
Mete Akgün
Nícolas Pfeifer
114
0
0
08 Sep 2023
Sparse-Inductive Generative Adversarial Hashing for Nearest Neighbor
  Search
Sparse-Inductive Generative Adversarial Hashing for Nearest Neighbor Search
Hong Liu
GAN
67
0
0
12 Jun 2023
Fundamental Limits of Two-layer Autoencoders, and Achieving Them with
  Gradient Methods
Fundamental Limits of Two-layer Autoencoders, and Achieving Them with Gradient Methods
Aleksandr Shevchenko
Kevin Kögler
Hamed Hassani
Marco Mondelli
DRLMLT
91
3
0
27 Dec 2022
Stable and Interpretable Unrolled Dictionary Learning
Stable and Interpretable Unrolled Dictionary Learning
Bahareh Tolooshams
Demba E. Ba
150
18
0
31 May 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
89
2
0
13 Feb 2021
Benefits of Jointly Training Autoencoders: An Improved Neural Tangent
  Kernel Analysis
Benefits of Jointly Training Autoencoders: An Improved Neural Tangent Kernel Analysis
THANH VAN NGUYEN
Raymond K. W. Wong
Chinmay Hegde
115
13
0
27 Nov 2019
Convergence guarantees for RMSProp and ADAM in non-convex optimization
  and an empirical comparison to Nesterov acceleration
Convergence guarantees for RMSProp and ADAM in non-convex optimization and an empirical comparison to Nesterov acceleration
Soham De
Anirbit Mukherjee
Enayat Ullah
187
106
0
18 Jul 2018
Autoencoders Learn Generative Linear Models
Autoencoders Learn Generative Linear Models
THANH VAN NGUYEN
Raymond K. W. Wong
Chinmay Hegde
DRL
105
4
0
02 Jun 2018
1