ResearchTrend.AI
  • Communities
  • Connect sessions
  • AI calendar
  • Organizations
  • Join Slack
  • Contact Sales
Papers
Communities
Social Events
Terms and Conditions
Pricing
Contact Sales
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2026 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2008.03072
  4. Cited By
Optimizing Information Loss Towards Robust Neural Networks
v1v2 (latest)

Optimizing Information Loss Towards Robust Neural Networks

7 August 2020
Philip Sperl
Konstantin Böttinger
    AAML
ArXiv (abs)PDFHTML

Papers citing "Optimizing Information Loss Towards Robust Neural Networks"

1 / 1 papers shown
Towards quantifying information flows: relative entropy in deep neural
  networks and the renormalization group
Towards quantifying information flows: relative entropy in deep neural networks and the renormalization groupSciPost Physics (SciPost Phys.), 2021
J. Erdmenger
Kevin T. Grosvenor
R. Jefferson
233
25
0
14 Jul 2021
1
Page 1 of 1