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Books and Theses
- 2023
[b1]Fabio Arnez:
Deep neural network uncertainty runtime monitoring for robust and safe AI-based automated navigation. (Surveillance du temps d'exécution de l'incertitude du réseau neuronal profond pour une navigation automatisée robuste et sûre basée sur l'IA). University of Paris-Saclay, France, 2023
Conference and Workshop Papers
- 2023
- [c6]Fabio Arnez, Ansgar Radermacher, François Terrier:
Out-of-Distribution Detection Using Deep Neural Network Latent Space Uncertainty. SafeAI@AAAI 2023 - [c5]Guillaume Ollier
, Fabio Arnez, Morayo Adedjouma, Raphaël Lallement, Simos Gerasimou, Chokri Mraidha:
Towards an Ontological Methodology for Dynamic Dependability Management of Unmanned Aerial Vehicles. DroneSE/RAPIDO@HiPEAC 2023: 12-19 - 2022
- [c4]Fabio Arnez, Guillaume Ollier, Ansgar Radermacher, Morayo Adedjouma, Simos Gerasimou, Chokri Mraidha, François Terrier:
Skeptical Dynamic Dependability Management for Automated Systems. DSD 2022: 118-125 - [c3]Fabio Arnez, Huáscar Espinoza, Ansgar Radermacher, François Terrier:
Towards Dependable Autonomous Systems Based on Bayesian Deep Learning Components. EDCC 2022: 65-72 - 2021
- [c2]Fabio Arnez, Huáscar Espinoza, Ansgar Radermacher, François Terrier:
Improving Robustness of Deep Neural Networks for Aerial Navigation by Incorporating Input Uncertainty. SAFECOMP Workshops 2021: 219-225 - 2020
- [c1]Fabio Arnez, Huáscar Espinoza, Ansgar Radermacher, François Terrier:
A Comparison of Uncertainty Estimation Approaches in Deep Learning Components for Autonomous Vehicle Applications. AISafety@IJCAI 2020
Editorship
- 2024
- [e1]Gabriel Pedroza, Xiaowei Huang, Xin Cynthia Chen, Fabio Arnez, Huáscar Espinoza, José Hernández-Orallo, Mauricio Castillo-Effen, Richard Mallah, John A. McDermid, Andreas Theodorou:
Proceedings of the IJCAI 2024 Workshop on Artificial Intelligence Safety (AISafety 2024) co-located with the 33rd International Joint Conference on Artificial Intelligence (IJCAI 2024), Jeju, Korea, August 4, 2024. CEUR Workshop Proceedings 3856, CEUR-WS.org 2024 [contents]
Informal and Other Publications
- 2023
- [i5]Fabio Arnez, Huáscar Espinoza, Ansgar Radermacher, François Terrier:
Towards Dependable Autonomous Systems Based on Bayesian Deep Learning Components. CoRR abs/2301.05297 (2023) - 2022
- [i4]Fabio Arnez, Ansgar Radermacher, Huáscar Espinoza:
Quantifying and Using System Uncertainty in UAV Navigation. CoRR abs/2206.01953 (2022) - [i3]Dennis Casazola, Fabio Arnez, Huáscar Espinoza:
Design Considerations of an Unmanned Aerial Vehicle for Aerial Filming. CoRR abs/2212.11402 (2022) - 2021
- [i2]Fabio Arnez, Huáscar Espinoza, Ansgar Radermacher, François Terrier:
Improving Robustness of Deep Neural Networks for Aerial Navigation by Incorporating Input Uncertainty. CoRR abs/2110.13729 (2021) - 2020
- [i1]Fabio Arnez, Huáscar Espinoza, Ansgar Radermacher, François Terrier:
A Comparison of Uncertainty Estimation Approaches in Deep Learning Components for Autonomous Vehicle Applications. CoRR abs/2006.15172 (2020)
Coauthor Index
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