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. 1810.07924
  4. Cited By
Explaining Machine Learning Models using Entropic Variable Projection

Explaining Machine Learning Models using Entropic Variable Projection

18 October 2018
François Bachoc
Fabrice Gamboa
Max Halford
Jean-Michel Loubes
Laurent Risser
    FAtt
ArXivPDFHTML

Papers citing "Explaining Machine Learning Models using Entropic Variable Projection"

3 / 3 papers shown
Title
Quantile-constrained Wasserstein projections for robust interpretability
  of numerical and machine learning models
Quantile-constrained Wasserstein projections for robust interpretability of numerical and machine learning models
Marouane Il Idrissi
Nicolas Bousquet
Fabrice Gamboa
Bertrand Iooss
Jean-Michel Loubes
39
3
0
23 Sep 2022
Methods for Interpreting and Understanding Deep Neural Networks
Methods for Interpreting and Understanding Deep Neural Networks
G. Montavon
Wojciech Samek
K. Müller
FaML
234
2,238
0
24 Jun 2017
Density modification based reliability sensitivity analysis
Density modification based reliability sensitivity analysis
Paul Lemaître
Ekatarina Sergienko
A. Arnaud
Nicolas Bousquet
Fabrice Gamboa
Bertrand Iooss
62
61
0
03 Oct 2012
1