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Julien Girard-Satabin
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2020 – today
- 2024
- [c4]Romain Xu-Darme, Aymeric Varasse, Alban Grastien, Julien Girard-Satabin, Zakaria Chihani:
CaBRNet, An Open-Source Library For Developing And Evaluating Case-Based Reasoning Models. xAI (Late-breaking Work, Demos, Doctoral Consortium) 2024: 265-272 - 2023
- [c3]Romain Xu-Darme, Julien Girard-Satabin, Darryl Hond, Gabriele Incorvaia, Zakaria Chihani:
Contextualised Out-of-Distribution Detection Using Pattern Identification. SAFECOMP Workshops 2023: 423-435 - [i5]Romain Xu-Darme, Julien Girard-Satabin, Darryl Hond, Gabriele Incorvaia, Zakaria Chihani:
Interpretable Out-Of-Distribution Detection Using Pattern Identification. CoRR abs/2302.10303 (2023) - [i4]Romain Xu-Darme, Julien Girard-Satabin, Darryl Hond, Gabriele Incorvaia, Zakaria Chihani:
Contextualised Out-of-Distribution Detection using Pattern Identication. CoRR abs/2311.12855 (2023) - 2022
- [c2]Julien Girard-Satabin, Michele Alberti, François Bobot, Zakaria Chihani, Augustin Lemesle:
CAISAR: A platform for Characterizing Artificial Intelligence Safety and Robustness. AISafety@IJCAI 2022 - [i3]Julien Girard-Satabin, Michele Alberti, François Bobot, Zakaria Chihani, Augustin Lemesle:
CAISAR: A platform for Characterizing Artificial Intelligence Safety and Robustness. CoRR abs/2206.03044 (2022) - 2021
- [b1]Julien Girard-Satabin:
Verification and validation of Machine Learning techniques. (Vérification et validation de techniques d'apprentissage machine). University of Paris-Saclay, France, 2021 - [i2]Julien Girard-Satabin, Aymeric Varasse, Marc Schoenauer, Guillaume Charpiat, Zakaria Chihani:
DISCO Verification: Division of Input Space into COnvex polytopes for neural network verification. CoRR abs/2105.07776 (2021) - 2020
- [c1]Julien Girard-Satabin, Guillaume Charpiat, Zakaria Chihani, Marc Schoenauer:
CAMUS: A Framework to Build Formal Specifications for Deep Perception Systems Using Simulators. ECAI 2020: 2497-2504
2010 – 2019
- 2019
- [i1]Julien Girard-Satabin, Guillaume Charpiat, Zakaria Chihani, Marc Schoenauer:
CAMUS: A Framework to Build Formal Specifications for Deep Perception Systems Using Simulators. CoRR abs/1911.10735 (2019)
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