Fabio Arnez

19 papers A 1C 2Misc 1Journal 9Unranked 4
YearRankTypeTitle / Venue / Authors
2026 J jnl
Oracle-Guided Soft Shielding for Safe Move Prediction in Chess.
CoRR
Prajit T. Rajendran, Fabio Arnez, Huáscar Espinoza, Agnès Delaborde, Chokri Mraidha
2025 J jnl
Can Less Precise Be More Reliable? A Systematic Evaluation of Quantization's Impact on CLIP Beyond Accuracy.
CoRR
Aymen Bouguerra, Daniel Montoya, Alexandra Gomez-Villa, Fabio Arnez, Chokri Mraidha
2025 J jnl
FindMeIfYouCan: Bringing Open Set metrics to
CoRR
Daniel Montoya, Aymen Bouguerra, Alexandra Gomez-Villa, Fabio Arnez
2025 C conf
Oracle-Guided Soft Shielding for Safe Move Prediction in Chess.
ICMLA
Prajit T. Rajendran, Fabio Arnez, Huáscar Espinoza, Agnès Delaborde, Chokri Mraidha
2025 J jnl
The Map of Misbelief: Tracing Intrinsic and Extrinsic Hallucinations Through Attention Patterns.
CoRR
Elyes Hajji, Aymen Bouguerra, Fabio Arnez
2024 A conf
Latent Representation Entropy Density for Distribution Shift Detection.
UAI
Fabio Arnez, Daniel Alfonso Montoya Vasquez, Ansgar Radermacher, François Terrier
2024 — ed.
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.
AISafety@IJCAI
Gabriel Pedroza, Xiaowei Huang, Xin Cynthia Chen, Fabio Arnez, Huáscar Espinoza, José Hernández-Orallo, Mauricio Castillo-Effen, Richard Mallah, John A. McDermid, Andreas Theodorou
2023 — —
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).
Fabio Arnez
2023 — conf
Out-of-Distribution Detection Using Deep Neural Network Latent Space Uncertainty.
SafeAI@AAAI
Fabio Arnez, Ansgar Radermacher, François Terrier
2023 J jnl
Towards Dependable Autonomous Systems Based on Bayesian Deep Learning Components.
CoRR
Fabio Arnez, Huáscar Espinoza, Ansgar Radermacher, François Terrier
2023 — conf
Towards an Ontological Methodology for Dynamic Dependability Management of Unmanned Aerial Vehicles.
DroneSE/RAPIDO@HiPEAC
Guillaume Ollier, Fabio Arnez, Morayo Adedjouma, Raphaël Lallement, Simos Gerasimou, Chokri Mraidha
2022 J jnl
Design Considerations of an Unmanned Aerial Vehicle for Aerial Filming.
CoRR
Dennis Casazola, Fabio Arnez, Huáscar Espinoza
2022 J jnl
Quantifying and Using System Uncertainty in UAV Navigation.
CoRR
Fabio Arnez, Ansgar Radermacher, Huáscar Espinoza
2022 C conf
Skeptical Dynamic Dependability Management for Automated Systems.
DSD
Fabio Arnez, Guillaume Ollier, Ansgar Radermacher, Morayo Adedjouma, Simos Gerasimou, Chokri Mraidha, François Terrier
2022 Misc conf
Towards Dependable Autonomous Systems Based on Bayesian Deep Learning Components.
EDCC
Fabio Arnez, Huáscar Espinoza, Ansgar Radermacher, François Terrier
2021 — conf
Improving Robustness of Deep Neural Networks for Aerial Navigation by Incorporating Input Uncertainty.
SAFECOMP Workshops
Fabio Arnez, Huáscar Espinoza, Ansgar Radermacher, François Terrier
2021 J jnl
Improving Robustness of Deep Neural Networks for Aerial Navigation by Incorporating Input Uncertainty.
CoRR
Fabio Arnez, Huáscar Espinoza, Ansgar Radermacher, François Terrier
2020 — conf
A Comparison of Uncertainty Estimation Approaches in Deep Learning Components for Autonomous Vehicle Applications.
AISafety@IJCAI
Fabio Arnez, Huáscar Espinoza, Ansgar Radermacher, François Terrier
2020 J jnl
A Comparison of Uncertainty Estimation Approaches in Deep Learning Components for Autonomous Vehicle Applications.
CoRR
Fabio Arnez, Huáscar Espinoza, Ansgar Radermacher, François Terrier