publications

publications by categories in reversed chronological order. generated by jekyll-scholar.

2026

  1. Disentangling the Good From the Bad: Quantization-Induced Flips Are Not Random
    Aymen Bouguerra, Alexandra Gomez-Villa, Chokri Mraidha, and Fabio Arnez
    In Advances in Neural Information Processing Systems (NeurIPS), Dec 2026
    To appear
  2. Quantization and Corruption Robustness in Deployed Road-Scene Perception
    Aymen Bouguerra, Ansgar Radermacher, Chokri Mraidha, and Fabio Arnez
    In IEEE International Conference on Vehicular Electronics and Safety (ICVES), Nov 2026
    To appear
  3. Drive-SynOOD-OD: A Diffusion-Inpainted Synthetic Out-of-Distribution Object Detection Benchmark for Autonomous Driving
    Daniel Montoya, Mauricio Sayri Espinoza Mayzer, and Fabio Arnez
    In IEEE International Conference on Vehicular Electronics and Safety (ICVES), Nov 2026
    To appear
  4. The SIGReg Objective as Variational Free Energy: A Theoretical Active-Inference Account of JEPA World Models
    Fabio Arnez and Alexandra Gomez-Villa
    Jul 2026
  5. Less Precise Can Be More Reliable: A Systematic Evaluation of Quantization’s Impact on VLMs Beyond Accuracy
    Aymen Bouguerra, Daniel Montoya, Alexandra Gomez-Villa, Chokri Mraidha, and Fabio Arnez
    In International Conference on Machine Learning (ICML), Jul 2026
  6. FedSALAT: Adaptive Buffer-Based Active Learning for Federated Data Streams
    Prajit T Rajendran, Fabio Arnez, Huascar Espinoza, Agnes Delaborde, and Chokri Mraidha
    In 2026 2nd International Conference on Federated Learning and Intelligent Computing Systems (FLICS), Jun 2026
  7. Digital Twins and World Models: A Systematic Taxonomic Disambiguation
    Kunal Suri and Fabio Arnez
    In Advanced Information Systems Engineering Workshops (CAiSE 2026 Workshops, MIDas4CS), Jun 2026

2025

  1. Oracle-Guided Soft Shielding for Safe Move Prediction in Chess
    Prajit T Rajendran, Fabio Arnez, Huascar Espinoza, Agnes Delaborde, and Chokri Mraidha
    In 2025 International Conference on Machine Learning and Applications (ICMLA), Dec 2025
  2. The Map of Misbelief: Tracing Intrinsic and Extrinsic Hallucinations Through Attention Patterns
    Elyes Hajji, Aymen Bouguerra, and Fabio Arnez
    Proceedings of the AAAI Symposium Series, Nov 2025
  3. FindMeIfYouCan: Bringing Open Set metrics to near, far and farther Out-of-Distribution Object Detection
    Daniel Montoya, Aymen Bouguerra, Alexandra Gomez-Villa, and Fabio Arnez
    2025

2024

  1. Latent representation entropy density for distribution shift detection
    Fabio Arnez, Daniel Alfonso Montoya Vasquez, Ansgar Radermacher, and François Terrier
    In Conference on Uncertainty in Artificial Intelligence (UAI), 2024

2023

  1. Deep neural network uncertainty runtime monitoring for robust and safe AI-based automated navigation
    Fabio Alejandro Arnez Yagualca
    Dec 2023
  2. Out-of-Distribution Detection Using Deep Neural Network Latent Space Uncertainty.
    Fabio Arnez, Ansgar Radermacher, and François Terrier
    In SafeAI@ AAAI, 2023
  3. Towards an ontological methodology for dynamic dependability management of unmanned aerial vehicles
    Guillaume Ollier, Fabio Arnez, Morayo Adedjouma, Raphaël Lallement, Simos Gerasimou, and 1 more author
    In Proceedings of the DroneSE and RAPIDO: System Engineering for constrained embedded systems, 2023

2022

  1. Skeptical dynamic dependability management for automated systems
    Fabio Arnez, Guillaume Ollier, Ansgar Radermacher, Morayo Adedjouma, Simos Gerasimou, and 2 more authors
    In 2022 25th Euromicro Conference on Digital System Design (DSD), 2022
  2. Quantifying and using system uncertainty in uav navigation
    Fabio Arnez, Ansgar Radermacher, and Huascar Espinoza
    arXiv preprint arXiv:2206.01953, 2022
  3. Towards dependable autonomous systems based on bayesian deep learning components
    Fabio Arnez, Huascar Espinoza, Ansgar Radermacher, and François Terrier
    In 2022 18th European Dependable Computing Conference (EDCC), 2022

2021

  1. Improving robustness of deep neural networks for aerial navigation by incorporating input uncertainty
    Fabio Arnez, Huascar Espinoza, Ansgar Radermacher, and François Terrier
    In Computer Safety, Reliability, and Security. SAFECOMP 2021 Workshops, 2021
  2. A Comparison of Uncertainty Estimation Approaches in Deep Learning Components for Autonomous Vehicle Applications
    Fabio Arnez, Huascar Espinoza, Ansgar Radermacher, and François Terrier
    In IJCAI-PRICAI 2020, Workshop on Artificial Intelligence Safety - AISafety 2020, Jan 2021
    Accepted Workshop AISafety 2020 - Workshop in Artificial Intelligence Safety

2019

  1. SRESLi: Smart renewable energy street lighting system
    Fabiana Cañipa, Fabio Arnez, Omar Ormachea, Armando Rivero, Gian Carlo Dozio, and 1 more author
    Investigación & Desarrollo, 2019

2015

  1. Design Considerations of an Unmanned Aerial Vehicle for Aerial Filming
    Dennis Casazola, Fabio Arnez, and Huascar Espinoza
    2015

2014

  1. VIRMS A VEHICLE INFORMATION AND ROAD MONITORING SYSTEM
    Fabio Arnez and Alex Villazón
    Revista Investigación & Desarrollo, Jan 2014