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Conviformers: Convolutionally guided Vision Transformer

Mohit Vaishnav , Thomas Fel , Ivań Felipe Rodríguez , Thomas Serre
2022
Pré-publication, Document de travail hal-03819600v1
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Can we reconcile safety objectives with machine learning performances?

Lucian Alecu , Hugues Bonnin , Thomas Fel , Laurent Gardes , Sébastien Gerchinovitz , et al.
ERTS 2022, Jun 2022, TOULOUSE, France
Communication dans un congrès hal-03765471v1
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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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On the explainable properties of 1-Lipschitz Neural Networks: An Optimal Transport Perspective

Mathieu Serrurier , Franck Mamalet , Thomas Fel , Louis Béthune , Thibaut Boissin
Conference on Neural Information Processing Systems (NeurIPS), Neural Information Processing Systems Foundation, Dec 2023, New Orleans (Louisiana), United States
Communication dans un congrès hal-03693355v3
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What I Cannot Predict, I Do Not Understand: A Human-Centered Evaluation Framework for Explainability Methods

Thomas Fel , Julien Colin , Rémi Cadène , Thomas Serre
2021
Pré-publication, Document de travail hal-03473101v1

Xplique: A Deep Learning Explainability Toolbox

Thomas Fel , Lucas Hervier , David Vigouroux , Antonin Poche , Justin Plakoo , et al.
The Conference on Computer Vision and Pattern Recognition, Workshop: Explainable Artificial Intelligence for Computer Vision (XAI4CV), Jun 2022, Nouvelle-Orléans, United States
Communication dans un congrès hal-03696248v1
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Making Sense of Dependence: Efficient Black-box Explanations Using Dependence Measure

Paul Novello , Thomas Fel , David Vigouroux
Advances in Neural Information Processing Systems (NeurIPS), Nov 2022, New Orleans, United States
Communication dans un congrès hal-03715558v2
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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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Unlocking Feature Visualization for Deeper Networks with Magnitude Constrained Optimization

Thomas Fel , Thibaut Boissin , Victor Boutin , Agustin Picard , Paul Novello , et al.
Conference on Neural Information Processing Systems (NeurIPS), 2023, Dec 2023, New Orleans (Louisiana), United States
Communication dans un congrès hal-04391346v1
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Confident Object Detection via Conformal Prediction and Conformal Risk Control: an Application to Railway Signaling

Léo Andéol , Thomas Fel , Florence De Grancey , Luca Mossina
Conformal and Probabilistic Prediction with Applications, Proceedings of Machine Learning Research, 2023
Proceedings/Recueil des communications hal-04063441v2
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Conformal prediction for trustworthy detection of railway signals

Léo Andéol , Thomas Fel , Florence De Grancey , Luca Mossina
AAAI Spring Symposium 2023: AI Trustworthiness Assessment, Mar 2023, San Francisco, United States
Communication dans un congrès hal-03946071v1
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Look at the Variance! Efficient Black-box Explanations with Sobol-based Sensitivity Analysis

Thomas Fel , Rémi Cadène , Mathieu Chalvidal , Matthieu Cord , David Vigouroux , et al.
Conference on Neural Information Processing Systems (NeurIPS), Dec 2022, Sydney, Australia
Communication dans un congrès hal-03473083v1
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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