Influenciæ: A Library for Tracing the Influence Back to the Data-Points von Picard, Agustin, Hervier, Lucas, Fel, Thomas, Vigouroux, David

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Object Detection with Probabilistic Guarantees: A Conformal Prediction Approach von de Grancey, Florence, Adam, Jean-Luc, Alecu, Lucian, Gerchinovitz, Sébastien, Mamalet, Franck, Vigouroux, David

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Efficient circuit implementation for coined quantum walks on binary trees and application to reinforcement learning von Mullor, Thomas, Vigouroux, David, Bethune, Louis

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Making Sense of Dependence: Efficient Black-box Explanations Using Dependence Measure von Novello, Paul, Fel, Thomas, Vigouroux, David

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FUNN: Flexible Unsupervised Neural Network von Vigouroux, David, Picard, Sylvain

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CRAFT: Concept Recursive Activation FacTorization for Explainability von Fel, Thomas, Picard, Agustin, Bethune, Louis, Boissin, Thibaut, Vigouroux, David, Colin, Julien, Cadène, Rémi, Serre, Thomas

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How to design a dataset compliant with an ML-based system ODD? von Cappi, Cyril, Cohen, Noémie, Ducoffe, Mélanie, Gabreau, Christophe, Gardes, Laurent, Gauffriau, Adrien, Ginestet, Jean-Brice, Mamalet, Franck, Mussot, Vincent, Pagetti, Claire, Vigouroux, David

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DP-SGD Without Clipping: The Lipschitz Neural Network Way von Bethune, Louis, Massena, Thomas, Boissin, Thibaut, Prudent, Yannick, Friedrich, Corentin, Mamalet, Franck, Bellet, Aurelien, Serrurier, Mathieu, Vigouroux, David

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How Good is your Explanation? Algorithmic Stability Measures to Assess the Quality of Explanations for Deep Neural Networks von Fel, Thomas, Vigouroux, David, Cadène, Rémi, Serre, Thomas

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Efficient circuit implementation for coined quantum walks on binary trees and application to reinforcement learning von Mullor, Thomas, Vigouroux, David, Bethune, Louis

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Don't Lie to Me! Robust and Efficient Explainability with Verified Perturbation Analysis von Fel, Thomas, Ducoffe, Melanie, Vigouroux, David, Cadene, Remi, Capelle, Mikael, Nicodeme, Claire, Serre, Thomas

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Making Sense of Dependence: Efficient Black-box Explanations Using Dependence Measure von Novello, Paul, Fel, Thomas, Vigouroux, David

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Look at the Variance! Efficient Black-box Explanations with Sobol-based Sensitivity Analysis von Fel, Thomas, Cadene, Remi, Chalvidal, Mathieu, Cord, Matthieu, Vigouroux, David, Serre, Thomas

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Xplique: A Deep Learning Explainability Toolbox von Fel, Thomas, Hervier, Lucas, Vigouroux, David, Poche, Antonin, Plakoo, Justin, Cadene, Remi, Chalvidal, Mathieu, Colin, Julien, Boissin, Thibaut, Bethune, Louis, Picard, Agustin, Nicodeme, Claire, Gardes, Laurent, Flandin, Gregory, Serre, Thomas

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How Good is your Explanation? Algorithmic Stability Measures to Assess the Quality of Explanations for Deep Neural Networks von Fel, Thomas, Vigouroux, David, Cadène, Rémi, Serre, Thomas

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Method and device for predicting optimum attack and defence solutions in a military conflict scenario von Alexandre KOTENKOFF, David VIGOUROUX, Ronan FRUIT, Stephane LE MENEC, Charlotte TOUCHARD, Mathias FORMOSO

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DP-SGD Without Clipping: The Lipschitz Neural Network Way von Bethune, Louis, Massena, Thomas, Boissin, Thibaut, Prudent, Yannick, Friedrich, Corentin, Mamalet, Franck, Bellet, Aurelien, Serrurier, Mathieu, Vigouroux, David

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Method and device for predicting optimum attack and defence solutions in a military conflict scenario von Alexandre KOTENKOFF, David VIGOUROUX, Ronan FRUIT, Stephane LE MENEC, Charlotte TOUCHARD, Mathias FORMOSO

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CRAFT: Concept Recursive Activation FacTorization for Explainability von Fel, Thomas, Picard, Agustin, Bethune, Louis, Boissin, Thibaut, Vigouroux, David, Julien, Colin, Cadène, Rémi, Serre, Thomas

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Don't Lie to Me! Robust and Efficient Explainability with Verified Perturbation Analysis von Fel, Thomas, Ducoffe, Melanie, Vigouroux, David, Cadene, Remi, Capelle, Mikael, Nicodeme, Claire, Serre, Thomas

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