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Francisco Girbal Eiras
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- affiliation: University of Oxford, UK
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2020 – today
- 2024
- [c10]Francisco Eiras, Adel Bibi, Rudy Bunel, Krishnamurthy Dj Dvijotham, Philip Torr, M. Pawan Kumar:
Efficient Error Certification for Physics-Informed Neural Networks. ICML 2024 - [c9]Francisco Eiras, Aleksandar Petrov, Bertie Vidgen, Christian Schröder de Witt, Fabio Pizzati, Katherine Elkins, Supratik Mukhopadhyay, Adel Bibi, Botos Csaba, Fabro Steibel, Fazl Barez, Genevieve Smith, Gianluca Guadagni, Jon Chun, Jordi Cabot, Joseph Marvin Imperial, Juan A. Nolazco-Flores, Lori Landay, Matthew Thomas Jackson, Paul Röttger, Philip H. S. Torr, Trevor Darrell, Yong Suk Lee, Jakob N. Foerster:
Position: Near to Mid-term Risks and Opportunities of Open-Source Generative AI. ICML 2024 - [i15]Francisco Eiras, Aleksandar Petrov, Bertie Vidgen, Christian Schröder de Witt, Fabio Pizzati, Katherine Elkins, Supratik Mukhopadhyay, Adel Bibi
, Botos Csaba, Fabro Steibel, Fazl Barez, Genevieve Smith, Gianluca Guadagni, Jon Chun, Jordi Cabot, Joseph Marvin Imperial, Juan A. Nolazco-Flores, Lori Landay, Matthew Thomas Jackson, Paul Röttger, Philip H. S. Torr, Trevor Darrell, Yong Suk Lee, Jakob N. Foerster:
Near to Mid-term Risks and Opportunities of Open Source Generative AI. CoRR abs/2404.17047 (2024) - [i14]Francisco Eiras, Aleksandar Petrov, Bertie Vidgen, Christian Schröder de Witt, Fabio Pizzati, Katherine Elkins, Supratik Mukhopadhyay, Adel Bibi
Risks and Opportunities of Open-Source Generative AI. CoRR abs/2405.08597 (2024) - [i13]Francisco Eiras, Aleksandar Petrov, Philip H. S. Torr, M. Pawan Kumar, Adel Bibi
Mimicking User Data: On Mitigating Fine-Tuning Risks in Closed Large Language Models. CoRR abs/2406.10288 (2024) - 2023
- [c8]Aleksandar Petrov, Francisco Eiras, Amartya Sanyal, Philip H. S. Torr, Adel Bibi:
Certifying Ensembles: A General Certification Theory with S-Lipschitzness. ICML 2023: 27709-27736 - [c7]Taras Rumezhak, Francisco Girbal Eiras, Philip H. S. Torr, Adel Bibi
RANCER: Non-Axis Aligned Anisotropic Certification with Randomized Smoothing. WACV 2023: 4661-4669 - [i12]Aleksandar Petrov, Francisco Eiras, Amartya Sanyal, Philip H. S. Torr, Adel Bibi
Certifying Ensembles: A General Certification Theory with S-Lipschitzness. CoRR abs/2304.13019 (2023) - [i11]Francisco Eiras, Adel Bibi
Provably Correct Physics-Informed Neural Networks. CoRR abs/2305.10157 (2023) - [i10]Tom A. Lamb, Rudy Bunel, Krishnamurthy (Dj) Dvijotham, M. Pawan Kumar, Philip H. S. Torr, Francisco Eiras:
Faithful Knowledge Distillation. CoRR abs/2306.04431 (2023) - [i9]Francisco Eiras, Kemal Oksuz, Adel Bibi
Segment, Select, Correct: A Framework for Weakly-Supervised Referring Segmentation. CoRR abs/2310.13479 (2023) - 2022
- [j2]Francisco Eiras, Motasem Alfarra, Philip H. S. Torr, M. Pawan Kumar, Puneet K. Dokania, Bernard Ghanem, Adel Bibi:
ANCER: Anisotropic Certification via Sample-wise Volume Maximization. Trans. Mach. Learn. Res. 2022 (2022) - [j1]Francisco Eiras
A Two-Stage Optimization-Based Motion Planner for Safe Urban Driving. IEEE Trans. Robotics 38(2): 822-834 (2022) - 2021
- [c6]Stefano V. Albrecht, Cillian Brewitt, John Wilhelm, Balint Gyevnar
Interpretable Goal-based Prediction and Planning for Autonomous Driving. ICRA 2021: 1043-1049 - [c5]Henry Pulver, Francisco Eiras, Ludovico Carozza, Majd Hawasly, Stefano V. Albrecht, Subramanian Ramamoorthy:
PILOT: Efficient Planning by Imitation Learning and Optimisation for Safe Autonomous Driving. IROS 2021: 1442-1449 - [c4]Josiah P. Hanna, Arrasy Rahman, Elliot Fosong, Francisco Eiras, Mihai Dobre, John Redford, Subramanian Ramamoorthy, Stefano V. Albrecht:
Interpretable Goal Recognition in the Presence of Occluded Factors for Autonomous Vehicles. IROS 2021: 7044-7051 - [i8]Francisco Eiras, Motasem Alfarra, M. Pawan Kumar, Philip H. S. Torr, Puneet K. Dokania, Bernard Ghanem
ANCER: Anisotropic Certification via Sample-wise Volume Maximization. CoRR abs/2107.04570 (2021) - [i7]Josiah P. Hanna, Arrasy Rahman, Elliot Fosong, Francisco Eiras, Mihai Dobre, John Redford, Subramanian Ramamoorthy, Stefano V. Albrecht:
Interpretable Goal Recognition in the Presence of Occluded Factors for Autonomous Vehicles. CoRR abs/2108.02530 (2021) - 2020
- [c3]Edward W. Ayers, Francisco Eiras, Majd Hawasly, Iain Whiteside:
PaRoT: A Practical Framework for Robust Deep Neural Network Training. NFM 2020: 63-84 - [i6]Edward W. Ayers, Francisco Eiras, Majd Hawasly, Iain Whiteside:
PaRoT: A Practical Framework for Robust Deep Neural Network Training. CoRR abs/2001.02152 (2020) - [i5]Francisco Eiras, Majd Hawasly, Stefano V. Albrecht, Subramanian Ramamoorthy:
A Two-Stage Optimization Approach to Safe-by-Design Planning for Autonomous Driving. CoRR abs/2002.02215 (2020) - [i4]Stefano V. Albrecht, Cillian Brewitt, John Wilhelm, Francisco Eiras, Mihai Dobre, Subramanian Ramamoorthy:
Integrating Planning and Interpretable Goal Recognition for Autonomous Driving. CoRR abs/2002.02277 (2020) - [i3]Henry Pulver, Francisco Eiras, Ludovico Carozza, Majd Hawasly, Stefano V. Albrecht, Subramanian Ramamoorthy:
PILOT: Efficient Planning by Imitation Learning and Optimisation for Safe Autonomous Driving. CoRR abs/2011.00509 (2020)
2010 – 2019
- 2019
- [c2]Francisco Eiras, Morteza Lahijanian, Marta Kwiatkowska:
Correct-by-Construction Advanced Driver Assistance Systems Based on a Cognitive Architecture. CAVS 2019: 1-7 - [i2]Francisco Eiras, Morteza Lahijanian, Marta Kwiatkowska:
Correct-by-Construction Advanced Driver Assistance Systems based on a Cognitive Architecture. CoRR abs/1907.09603 (2019) - 2018
- [c1]Pedro Miraldo, Francisco Eiras, Srikumar Ramalingam:
Analytical Modeling of Vanishing Points and Curves in Catadioptric Cameras. CVPR 2018: 2012-2021 - [i1]Pedro Miraldo, Francisco Eiras, Srikumar Ramalingam:
Analytical Modeling of Vanishing Points and Curves in Catadioptric Cameras. CoRR abs/1804.09460 (2018)
Coauthor Index
aka: Philip H. S. Torr
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last updated on 2024-10-07 21:20 CEST by the dblp team
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