publications
publications by categories in reversed chronological order. generated by jekyll-scholar.
2026
- Disentangling the Good From the Bad: Quantization-Induced Flips Are Not RandomIn Advances in Neural Information Processing Systems (NeurIPS), Dec 2026To appear
- Quantization and Corruption Robustness in Deployed Road-Scene PerceptionIn IEEE International Conference on Vehicular Electronics and Safety (ICVES), Nov 2026To appear
- Drive-SynOOD-OD: A Diffusion-Inpainted Synthetic Out-of-Distribution Object Detection Benchmark for Autonomous DrivingIn IEEE International Conference on Vehicular Electronics and Safety (ICVES), Nov 2026To appear
2025
2024
2023
- Out-of-Distribution Detection Using Deep Neural Network Latent Space Uncertainty.In SafeAI@ AAAI, 2023
- Towards an ontological methodology for dynamic dependability management of unmanned aerial vehiclesIn Proceedings of the DroneSE and RAPIDO: System Engineering for constrained embedded systems, 2023
2022
- Skeptical dynamic dependability management for automated systemsIn 2022 25th Euromicro Conference on Digital System Design (DSD), 2022
- Quantifying and using system uncertainty in uav navigationarXiv preprint arXiv:2206.01953, 2022
- Towards dependable autonomous systems based on bayesian deep learning componentsIn 2022 18th European Dependable Computing Conference (EDCC), 2022
2021
- Improving robustness of deep neural networks for aerial navigation by incorporating input uncertaintyIn Computer Safety, Reliability, and Security. SAFECOMP 2021 Workshops, 2021
- A Comparison of Uncertainty Estimation Approaches in Deep Learning Components for Autonomous Vehicle ApplicationsIn IJCAI-PRICAI 2020, Workshop on Artificial Intelligence Safety - AISafety 2020, Jan 2021Accepted Workshop AISafety 2020 - Workshop in Artificial Intelligence Safety