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

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2310.02250
  4. Cited By
Why should autoencoders work?

Why should autoencoders work?

3 October 2023
Matthew D. Kvalheim
E.D. Sontag
ArXivPDFHTML

Papers citing "Why should autoencoders work?"

3 / 3 papers shown
Title
Topological Obstructions to Autoencoding
Topological Obstructions to Autoencoding
Joshua D. Batson
C. G. Haaf
Yonatan Kahn
Daniel A. Roberts
AI4CE
34
37
0
16 Feb 2021
Geometric deep learning: going beyond Euclidean data
Geometric deep learning: going beyond Euclidean data
M. Bronstein
Joan Bruna
Yann LeCun
Arthur Szlam
P. Vandergheynst
GNN
247
3,236
0
24 Nov 2016
Benefits of depth in neural networks
Benefits of depth in neural networks
Matus Telgarsky
133
602
0
14 Feb 2016
1