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Francisco Eiras
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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
792020
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
512021
Autonomous vehicle planning
S Ramamoorthy, M Dobre, R Antolin, S Albrecht, S Lyons, SV Penkov, ...
US Patent 11,900,797, 2024
342024
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
322022
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
292020
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
282021
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
262024
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
202020
Planning in mobile robots
H Pulver, M Hawasly, S Ramamoorthy, F Eiras, L Carozza
US Patent App. 17/796,206, 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
92018
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
72023
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
6*2025
Tools for performance testing and/or training autonomous vehicle planners
F Eiras, M Hawasly, S Ramamoorthy
US Patent App. 18/011,016, 2023
62023
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
42019
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
32024
Path planning in mobile robots
A Blake, S Ramamoorthy, SV Penkov, M Hawasly, FMG Eiras, AB Mico, ...
US Patent App. 16/976,070, 2022
32022
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
22023
Prediction and planning for mobile robots
S Ramamoorthy, M Dobre, R Antolin, S Albrecht, S Lyons, SV Penkov, ...
US Patent App. 17/769,266, 2023
22023
Towards Provably Correct Driver Assistance Systems through Stochastic Cognitive Modeling
F Eiras, M Lahijanian
Robust autonomy: tools for safety in real-world uncertain environments, 2019
22019
Segment, Select, Correct: A Framework for Weakly-Supervised Referring Segmentation
F Eiras, K Oksuz, A Bibi, PHS Torr, PK Dokania
ECCV Workshop Proceedings, 2024
12024
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Articles 1–20