Thibaut Boissin

23 papers A* 9Journal 14

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Orthogonium : A Unified, Efficient Library of Orthogonal and 1-Lipschitz Building Blocks. CoRR Thibaut Boissin, Franck Mamalet, Valentin Lafargue, Mathieu Serrurier
2025	A*	`conf`	An Adaptive Orthogonal Convolution Scheme for Efficient and Flexible CNN Architectures. ICML Thibaut Boissin, Franck Mamalet, Thomas Fel, Agustin Martin Picard, Thomas Massena, Mathieu Serrurier
2025	J	`jnl`	An Adaptive Orthogonal Convolution Scheme for Efficient and Flexible CNN Architectures. CoRR Thibaut Boissin, Franck Mamalet, Thomas Fel, Agustin Martin Picard, Thomas Massena, Mathieu Serrurier
2025	J	`jnl`	Back to the Baseline: Examining Baseline Effects on Explainability Metrics. CoRR Agustin Martin Picard, Thibaut Boissin, Varshini Subhash, Rémi Cadène, Thomas Fel
2025	A*	`conf`	Efficient Robust Conformal Prediction via Lipschitz-Bounded Networks. ICML Thomas Massena, Léo Andéol, Thibaut Boissin, Franck Mamalet, Corentin Friedrich, Mathieu Serrurier, Sébastien Gerchinovitz
2025	J	`jnl`	Efficient Robust Conformal Prediction via Lipschitz-Bounded Networks. CoRR Thomas Massena, Léo Andéol, Thibaut Boissin, Franck Mamalet, Corentin Friedrich, Mathieu Serrurier, Sébastien Gerchinovitz
2025	J	`jnl`	Turbo-Muon: Accelerating Orthogonality-Based Optimization with Pre-Conditioning. CoRR Thibaut Boissin, Thomas Massena, Franck Mamalet, Mathieu Serrurier
2024	A*	`conf`	DP-SGD Without Clipping: The Lipschitz Neural Network Way. ICLR Louis Béthune, Thomas Massena, Thibaut Boissin, Aurélien Bellet, Franck Mamalet, Yannick Prudent, Corentin Friedrich, Mathieu Serrurier, David Vigouroux
2024	J	`jnl`	Fairness seen as global sensitivity analysis. Mach. Learn. Clément Benesse, Fabrice Gamboa, Jean-Michel Loubes, Thibaut Boissin
2023	J	`jnl`	Adversarial alignment: Breaking the trade-off between the strength of an attack and its relevance to human perception. CoRR Drew Linsley, Pinyuan Feng, Thibaut Boissin, Alekh Karkada Ashok, Thomas Fel, Stephanie Olaiya, Thomas Serre
2023	A*	`conf`	CRAFT: Concept Recursive Activation FacTorization for Explainability. CVPR Thomas Fel, Agustin Martin Picard, Louis Béthune, Thibaut Boissin, David Vigouroux, Julien Colin, Rémi Cadène, Thomas Serre
2023	J	`jnl`	DP-SGD Without Clipping: The Lipschitz Neural Network Way. CoRR Louis Béthune, Thomas Massena, Thibaut Boissin, Yannick Prudent, Corentin Friedrich, Franck Mamalet, Aurélien Bellet, Mathieu Serrurier, David Vigouroux
2023	A*	`conf`	On the explainable properties of 1-Lipschitz Neural Networks: An Optimal Transport Perspective. NeurIPS Mathieu Serrurier, Franck Mamalet, Thomas Fel, Louis Béthune, Thibaut Boissin
2023	A*	`conf`	Robust One-Class Classification with Signed Distance Function using 1-Lipschitz Neural Networks. ICML Louis Béthune, Paul Novello, Guillaume Coiffier, Thibaut Boissin, Mathieu Serrurier, Quentin Vincenot, Andres Troya-Galvis
2023	J	`jnl`	Robust One-Class Classification with Signed Distance Function using 1-Lipschitz Neural Networks. CoRR Louis Béthune, Paul Novello, Thibaut Boissin, Guillaume Coiffier, Mathieu Serrurier, Quentin Vincenot, Andres Troya-Galvis
2023	A*	`conf`	Unlocking Feature Visualization for Deep Network with MAgnitude Constrained Optimization. NeurIPS Thomas Fel, Thibaut Boissin, Victor Boutin, Agustin M. Picard, Paul Novello, Julien Colin, Drew Linsley, Tom Rousseau, Rémi Cadène, Lore Goetschalckx, Laurent Gardes, Thomas Serre
2023	J	`jnl`	Unlocking Feature Visualization for Deeper Networks with MAgnitude Constrained Optimization. CoRR Thomas Fel, Thibaut Boissin, Victor Boutin, Agustin Martin Picard, Paul Novello, Julien Colin, Drew Linsley, Tom Rousseau, Rémi Cadène, Laurent Gardes, Thomas Serre
2022	J	`jnl`	CRAFT: Concept Recursive Activation FacTorization for Explainability. CoRR Thomas Fel, Agustin Martin Picard, Louis Béthune, Thibaut Boissin, David Vigouroux, Julien Colin, Rémi Cadène, Thomas Serre
2022	A*	`conf`	Pay attention to your loss : understanding misconceptions about Lipschitz neural networks. NeurIPS Louis Béthune, Thibaut Boissin, Mathieu Serrurier, Franck Mamalet, Corentin Friedrich, Alberto González-Sanz
2022	J	`jnl`	When adversarial attacks become interpretable counterfactual explanations. CoRR Mathieu Serrurier, Franck Mamalet, Thomas Fel, Louis Béthune, Thibaut Boissin
2022	J	`jnl`	Xplique: A Deep Learning Explainability Toolbox. CoRR Thomas Fel, Lucas Hervier, David Vigouroux, Antonin Poché, Justin Plakoo, Rémi Cadène, Mathieu Chalvidal, Julien Colin, Thibaut Boissin, Louis Béthune, Agustin Martin Picard, Claire Nicodeme, Laurent Gardes, Grégory Flandin, Thomas Serre
2021	A*	`conf`	Achieving Robustness in Classification Using Optimal Transport With Hinge Regularization. CVPR Mathieu Serrurier, Franck Mamalet, Alberto González-Sanz, Thibaut Boissin, Jean-Michel Loubes, Eustasio del Barrio
2020	J	`jnl`	Achieving robustness in classification using optimal transport with hinge regularization. CoRR Mathieu Serrurier, Franck Mamalet, Alberto González-Sanz, Thibaut Boissin, Jean-Michel Loubes, Eustasio del Barrio