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Journal Articles
- 2023
[j2]Iryna De Albuquerque Silva
, Thomas Carle, Adrien Gauffriau, Claire Pagetti:
Extending a predictable machine learning framework with efficient gemm-based convolution routines. Real Time Syst. 59(3): 408-437 (2023)- 2022
- [j1]Iryna De Albuquerque Silva, Thomas Carle, Adrien Gauffriau, Claire Pagetti:
ACETONE: Predictable Programming Framework for ML Applications in Safety-Critical Systems (Artifact). Dagstuhl Artifacts Ser. 8(1): 06:1-06:2 (2022)
Conference and Workshop Papers
- 2024
- [c7]Iryna De Albuquerque Silva, Thomas Carle, Adrien Gauffriau, Victor Jégu, Claire Pagetti:
A Predictable SIMD Library for GEMM Routines. RTAS 2024: 55-67 - 2022
- [c6]Iryna De Albuquerque Silva, Thomas Carle, Adrien Gauffriau, Claire Pagetti:
ACETONE: Predictable Programming Framework for ML Applications in Safety-Critical Systems. ECRTS 2022: 3:1-3:19 - [c5]Adrien Gauffriau, Damien Grasset, David Bertoin, Jayant Sen Gupta:
Autonomous Drone Interception with Reinforcement Learning. ATT@IJCAI 2022: 108-123 - 2021
- [c4]Adrien Gauffriau, François Malgouyres, Mélanie Ducoffe:
Overestimation Learning with Guarantees. SafeAI@AAAI 2021 - [c3]Mathieu Damour, Florence de Grancey, Christophe Gabreau, Adrien Gauffriau, Jean-Brice Ginestet, Alexandre Hervieu, Thomas Huraux, Claire Pagetti, Ludovic Ponsolle, Arthur Clavière:
Towards Certification of a Reduced Footprint ACAS-Xu System: A Hybrid ML-Based Solution. SAFECOMP 2021: 34-48 - 2019
- [c2]Keryan Didier, Albert Cohen, Dumitru Potop-Butucaru, Adrien Gauffriau:
Sheep in wolf's Clothing: Implementation Models for Dataflow Multi-Threaded Software. ACSD 2019: 43-52 - 2007
- [c1]César Torres-Huitzil, Bernard Girau, Adrien Gauffriau:
Hardware/Software Codesign for Embedded Implementation of Neural Networks. ARC 2007: 167-178
Informal and Other Publications
- 2024
- [i6]Benjamin Lesage, Frédéric Boniol, Kevin Delmas, Adrien Gauffriau, Alfonso Mascareñas González, Claire Pagetti:
Towards the Certification of Hybrid Architectures: Analysing Interference on Hardware Accelerators through PML. CoRR abs/2406.12346 (2024) - [i5]Cyril Cappi, Noémie Cohen, Mélanie Ducoffe, Christophe Gabreau, Laurent Gardes, Adrien Gauffriau, Jean-Brice Ginestet, Franck Mamalet, Vincent Mussot, Claire Pagetti, David Vigouroux:
How to design a dataset compliant with an ML-based system ODD? CoRR abs/2406.14027 (2024) - 2023
- [i4]Mélanie Ducoffe, Maxime Carrere, Léo Féliers, Adrien Gauffriau, Vincent Mussot, Claire Pagetti, Thierry Sammour:
LARD - Landing Approach Runway Detection - Dataset for Vision Based Landing. CoRR abs/2304.09938 (2023) - [i3]Adrien Gauffriau, Claire Pagetti:
Formal description of ML models for unambiguous implementation. CoRR abs/2307.12713 (2023) - 2021
- [i2]Adrien Gauffriau, François Malgouyres, Mélanie Ducoffe:
Overestimation learning with guarantees. CoRR abs/2101.11717 (2021) - [i1]Hervé Delseny, Christophe Gabreau, Adrien Gauffriau, Bernard Beaudouin, Ludovic Ponsolle, Lucian Alecu, Hugues Bonnin, Brice Beltran, Didier Duchel, Jean-Brice Ginestet, Alexandre Hervieu, Ghilaine Martinez, Sylvain Pasquet, Kevin Delmas, Claire Pagetti, Jean-Marc Gabriel, Camille Chapdelaine, Sylvaine Picard, Mathieu Damour, Cyril Cappi, Laurent Gardès, Florence de Grancey, Eric Jenn, Baptiste Lefèvre, Grégory Flandin, Sébastien Gerchinovitz, Franck Mamalet, Alexandre Albore:
White Paper Machine Learning in Certified Systems. CoRR abs/2103.10529 (2021)
Coauthor Index
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