| Interpretable Goal-based Prediction and Planning for Autonomous Driving SV Albrecht, C Brewitt, J Wilhelm, B Gyevnar, F Eiras, M Dobre, ... IEEE International Conference on Robotics and Automation (ICRA), 2021, 2020 | 97 | 2020 |
| A Two-Stage Optimization-based Motion Planner for Safe Urban Driving F Eiras, M Hawasly, SV Albrecht, S Ramamoorthy IEEE Transactions on Robotics (T-RO), 2021 | 65 | 2021 |
| Near to Mid-term Risks and Opportunities of Open-Source Generative AI F Eiras, A Petrov, B Vidgen, CS de Witt, F Pizzati, K Elkins, ... International Conference of Machine Learning, 2024 | 63* | 2024 |
| Autonomous vehicle planning S Ramamoorthy, M Dobre, R Antolin, S Albrecht, S Lyons, SV Penkov, ... US Patent 11,900,797, 2024 | 48 | 2024 |
| Ancer: Anisotropic certification via sample-wise volume maximization F Eiras, M Alfarra, MP Kumar, PHS Torr, PK Dokania, B Ghanem, A Bibi Transactions on Machine Learning Research, 2022 | 45 | 2022 |
| PILOT: Efficient Planning by Imitation Learning and Optimisation for Safe Autonomous Driving H Pulver, F Eiras, L Carozza, M Hawasly, S Albrecht, S Ramamoorthy IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2021, 2020 | 36 | 2020 |
| Interpretable Goal Recognition in the Presence of Occluded Factors for Autonomous Vehicles JP Hanna, A Rahman, E Fosong, F Eiras, M Dobre, J Redford, ... IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2021, 2021 | 35 | 2021 |
| PaRoT: A Practical Framework for Robust Deep Neural Network Training E Ayers, F Eiras, M Hawasly, I Whiteside 12th NASA Formal Methods Symposium, NFM 2020, 63-84, 2020 | 22 | 2020 |
| Do as I do (Safely): Mitigating Task-Specific Fine-tuning Risks in Large Language Models F Eiras, A Petrov, PHS Torr, MP Kumar, A Bibi International Conference on Learning Representations, 2025 | 21* | 2025 |
| Risks and opportunities of open-source generative AI. arXiv F Eiras, A Petrov, B Vidgen, C Schroeder, F Pizzati, K Elkins, ... arXiv preprint arXiv:2405.08597, 2024 | 15* | 2024 |
| Planning in mobile robots H PULVER, M Hawasly, S Ramamoorthy, F Eiras, L CAROZZA US Patent App. 17/796,206, 2023 | 15* | 2023 |
| Driving scenarios for autonomous vehicles S Ramamoorthy, M Hawasly, F Eiras, M Antonello, S Lyons, R Sarkar US Patent 12,039,860, 2024 | 11 | 2024 |
| Efficient Error Certification for Physics-Informed Neural Networks F Eiras, A Bibi, R Bunel, KD Dvijotham, P Torr, MP Kumar International Conference of Machine Learning, 2024 | 10 | 2024 |
| Tools for performance testing and/or training autonomous vehicle planners F Eiras, M Hawasly, S Ramamoorthy US Patent App. 18/011,016, 2023 | 10 | 2023 |
| Rancer: Non-axis aligned anisotropic certification with randomized smoothing T Rumezhak, FG Eiras, PHS Torr, A Bibi Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2023 | 10 | 2023 |
| Analytical modeling of vanishing points and curves in catadioptric cameras P Miraldo, F Eiras, S Ramalingam Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018 | 10 | 2018 |
| Correct-by-Construction Advanced Driver Assistance Systems based on a Cognitive Architecture F Eiras, M Lahijanian, M Kwiatkowska Proceedings of the IEEE Connected and Automated Vehicles Symposium, 2019 | 7 | 2019 |
| The singapore consensus on global ai safety research priorities Y Bengio, T Maharaj, L Ong, S Russell, D Song, M Tegmark, L Xue, ... arXiv preprint arXiv:2506.20702, 2025 | 6 | 2025 |
| Know Thy Judge: On the Robustness Meta-Evaluation of LLM Safety Judges F Eiras, E Zemour, E Lin, V Mugunthan ICBINB Workshop ICLR 2025, 2025 | 5 | 2025 |
| Certifying ensembles: a general certification theory with S-Lipschitzness A Petrov, F Eiras, A Sanyal, PHS Torr, A Bibi International Conference of Machine Learning, 2023 | 5 | 2023 |