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Anthony Corso
Anthony Corso
CTO, Terra AI, Visiting Scholar, Stanford
Verified email at stanford.edu - Homepage
Title
Cited by
Cited by
Year
A survey of algorithms for black-box safety validation of cyber-physical systems
A Corso, R Moss, M Koren, R Lee, M Kochenderfer
Journal of Artificial Intelligence Research 72, 377–428-377–428, 2021
2052021
Adaptive stress testing with reward augmentation for autonomous vehicle validation
A Corso, P Du, K Driggs-Campbell, MJ Kochenderfer
2019 IEEE Intelligent Transportation Systems Conference (ITSC), 163-168, 2019
1502019
Verification of image-based neural network controllers using generative models
SM Katz*, AL Corso*, CA Strong*, MJ Kochenderfer
Journal of Aerospace Information Systems 19 (9), 574-584, 2022
572022
Interpretable safety validation for autonomous vehicles
A Corso, MJ Kochenderfer
2020 IEEE 23rd International Conference on Intelligent Transportation …, 2020
332020
The adaptive stress testing formulation
M Koren, A Corso, MJ Kochenderfer
arXiv preprint arXiv:2004.04293, 2020
212020
Scalable autonomous vehicle safety validation through dynamic programming and scene decomposition
A Corso, R Lee, MJ Kochenderfer
2020 IEEE 23rd International Conference on Intelligent Transportation …, 2020
192020
An electrostatic method to model the expansion of hypervelocity impact plasma on positively biased surfaces
P Tarantino, A Goel, A Corso, N Lee, S Close
Physics of Plasmas 25 (9), 2018
172018
Online planning for constrained POMDPs with continuous spaces through dual ascent
A Jamgochian, A Corso, MJ Kochenderfer
Proceedings of the International Conference on Automated Planning and …, 2023
122023
Human vs. machine: Language models and wargames
M Lamparth, A Corso, J Ganz, O Skylar Mastro, J Schneider, H Trinkunas
arXiv e-prints, arXiv: 2403.03407, 2024
92024
A POMDP model for safe geological carbon sequestration
A Corso, Y Wang, M Zechner, J Caers, MJ Kochenderfer
arXiv preprint arXiv:2212.00669, 2022
92022
Model-based Validation as Probabilistic Inference
H Delecki, A Corso, M Kochenderfer
Learning for Dynamics and Control Conference, 825-837, 2023
82023
BetaZero: Belief-state planning for long-horizon POMDPs using learned approximations
RJ Moss, A Corso, J Caers, MJ Kochenderfer
arXiv preprint arXiv:2306.00249, 2023
82023
NASA ULI aircraft taxi dataset
SM Katz, A Corso, S Chinchali, A Elhafsi, A Sharma, M Pavone, ...
2021, stanford Research Data, 2021
82021
A holistic assessment of the reliability of machine learning systems
A Corso, D Karamadian, R Valentin, M Cooper, MJ Kochenderfer
arXiv preprint arXiv:2307.10586, 2023
72023
Risk-driven design of perception systems
A Corso, S Katz, C Innes, X Du, S Ramamoorthy, MJ Kochenderfer
Advances in Neural Information Processing Systems 35, 9894-9906, 2022
72022
Reflections from the Workshop on AI-Assisted Decision Making for Conservation
L Xu, E Rolf, S Beery, JR Bennett, T Berger-Wolf, T Birch, E Bondi-Kelly, ...
arXiv preprint arXiv:2307.08774, 2023
52023
Using Adaptive Stress Testing to Identify Paths to Ethical Dilemmas in Autonomous Systems.
AK Reuel, M Koren, A Corso, MJ Kochenderfer
SafeAI@ AAAI, 2022
52022
Transfer learning for efficient iterative safety validation
A Corso, MJ Kochenderfer
Proceedings of the AAAI Conference on Artificial Intelligence 35 (8), 7125-7132, 2021
42021
Human vs. machine: Behavioral differences between expert humans and language models in wargame simulations
M Lamparth, A Corso, J Ganz, OS Mastro, J Schneider, H Trinkunas
Proceedings of the AAAI/ACM Conference on AI, Ethics, and Society 7, 807-817, 2024
32024
Optimizing Carbon Storage Operations for Long-Term Safety
Y Wang, M Zechner, G Wen, AL Corso, JM Mern, MJ Kochenderfer, ...
arXiv preprint arXiv:2304.09352, 2023
32023
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