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Influenciæ: A library for tracing the influence back to the data-points

 Agustin Martin Picard , Lucas Hervier , Thomas Fel , David Vigouroux
2023
Pré-publication, Document de travail hal-04284178v1
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FUNN: Flexible Unsupervised Neural Network

 David Vigouroux , Sylvain Picard
13èmes Journées d’Intelligence Artificielle Fondamentale (JIAF 2019), Jul 2019, Toulouse, France
Communication dans un congrès hal-02301983v1
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FUNN: Flexible Unsupervised Neural Network

 David Vigouroux , Sylvain Picard
2018
Pré-publication, Document de travail hal-01908392v1
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Guidelines to explain machine learning algorithms

 Frédéric Boisnard , Ryma Boumazouza , Mélanie Ducoffe , Thomas Fel , Estèle Glize , et al.
2023
Autre publication scientifique hal-04391691v1
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Efficient circuit implementation for coined quantum walks on binary trees and application to reinforcement learning

 Thomas Mullor , David Vigouroux , Louis Bethune
ACM/IEEE International Workshop on Quantum Computing, Dec 2022, Seattle, United States
Communication dans un congrès hal-03812297v2
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Leveraging Influence Functions for Dataset Exploration and Cleaning

 Agustin Martin Picard , David Vigouroux , Petr Zamolodtchikov , Quentin Vincenot , Jean-Michel Loubes , et al.
11th European Congress Embedded Real Time Systems (ERTS 2022), Jun 2022, Toulouse, France. pp.1-8
Communication dans un congrès hal-03617649v1
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Object Detection With Probabilistic Guarantees

 Florence de Grancey , Jean-Luc Adam , Lucian Alecu , Sébastien Gerchinovitz , Franck Mamalet , et al.
Fifth International Workshop on Artificial Intelligence Safety Engineering (WAISE 2022), Sep 2022, München, Germany
Communication dans un congrès hal-03769683v1
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Deep Sturm–Liouville: Learnable orthogonal basis functions parameterized by neural networks

 David Vigouroux , Joseba Dalmau , Louis Béthune
2024
Pré-publication, Document de travail hal-04446268v1
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How Good is your Explanation? Algorithmic Stability Measures to Assess the Quality of Explanations for Deep Neural Networks

 Thomas Fel , David Vigouroux , Rémi Cadène , Thomas Serre
2022 CVF Winter Conference on Applications of Computer Vision (WACV), Jan 2022, Hawaii, United States
Communication dans un congrès hal-02930949v3
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