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On the explainable properties of 1-Lipschitz Neural Networks: An Optimal Transport Perspective
Feb. 5, 2024, 6:44 a.m. | Mathieu SerrurierIRIT-ADRIA, UT Franck MamaletUT Thomas FelUT Louis B\'ethuneUT3, UT, IRIT-ADRIA Thibaut BoissinUT
cs.LG updates on arXiv.org arxiv.org
adversarial ai techniques algorithms applications counterfactual cs.ai cs.cr cs.cv cs.lg explainable ai generated insights maps model robustness networks neural networks paper perspective pivotal robustness role stat.ml transport
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