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On the explainable properties of 1-Lipschitz Neural Networks: An Optimal
  Transport Perspective

On the explainable properties of 1-Lipschitz Neural Networks: An Optimal Transport Perspective

14 June 2022
M. Serrurier
Franck Mamalet
Thomas Fel
Louis Bethune
Thibaut Boissin
    AAML
    FAtt
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Papers citing "On the explainable properties of 1-Lipschitz Neural Networks: An Optimal Transport Perspective"

2 / 2 papers shown
Title
Wasserstein Distances Made Explainable: Insights into Dataset Shifts and Transport Phenomena
Wasserstein Distances Made Explainable: Insights into Dataset Shifts and Transport Phenomena
Philip Naumann
Jacob R. Kauffmann
G. Montavon
26
0
0
09 May 2025
Look at the Variance! Efficient Black-box Explanations with Sobol-based
  Sensitivity Analysis
Look at the Variance! Efficient Black-box Explanations with Sobol-based Sensitivity Analysis
Thomas Fel
Rémi Cadène
Mathieu Chalvidal
Matthieu Cord
David Vigouroux
Thomas Serre
MLAU
FAtt
AAML
114
58
0
07 Nov 2021
1