Anthony Corso

According to our database, Anthony Corso authored at least 28 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Human vs. Machine: Language Models and Wargames.

Max Lamparth, Anthony Corso, Jacob Ganz, Oriana Skylar Mastro, Jacquelyn Schneider, Harold Trinkunas

CoRR, 2024

2023

Constrained Hierarchical Monte Carlo Belief-State Planning.

Arec L. Jamgochian, Hugo Buurmeijer, Kyle Hollins Wray, Anthony Corso, Mykel J. Kochenderfer

CoRR, 2023

A Holistic Assessment of the Reliability of Machine Learning Systems.

Anthony Corso, David Karamadian, Romeo Valentin, Mary Cooper, Mykel J. Kochenderfer

CoRR, 2023

Reflections from the Workshop on AI-Assisted Decision Making for Conservation.

Lily Xu, Esther Rolf, Sara Beery, Joseph R. Bennett, Tanya Y. Berger-Wolf, Tanya Birch, Elizabeth Bondi-Kelly, Justin Brashares, Melissa S. Chapman, Anthony Corso, Andrew Davies, Nikhil Garg, Angela Gaylard, Robert Heilmayr, Hannah Kerner, Konstantin Klemmer, Vipin Kumar, Lester Mackey, Claire Monteleoni, Paul Moorcroft, Jonathan Palmer, Andrew Perrault, David Thau, Milind Tambe

CoRR, 2023

Efficient Determination of Safety Requirements for Perception Systems.

Sydney M. Katz, Anthony L. Corso, Esen Yel, Mykel J. Kochenderfer

CoRR, 2023

BetaZero: Belief-State Planning for Long-Horizon POMDPs using Learned Approximations.

Robert J. Moss, Anthony Corso, Jef Caers, Mykel J. Kochenderfer

CoRR, 2023

Optimizing Carbon Storage Operations for Long-Term Safety.

Yizheng Wang, Markus Zechner, Gege Wen, Anthony Louis Corso, John Michael Mern, Mykel J. Kochenderfer, Jef Karel Caers

CoRR, 2023

AVOIDDS: Aircraft Vision-based Intruder Detection Dataset and Simulator.

Elysia Q. Smyers, Sydney M. Katz, Anthony Corso, Mykel J. Kochenderfer

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Model-based Validation as Probabilistic Inference.

Harrison Delecki, Anthony Corso, Mykel J. Kochenderfer

Proceedings of the Learning for Dynamics and Control Conference, 2023

Experience Filter: Using Past Experiences on Unseen Tasks or Environments.

Anil Yildiz, Esen Yel, Anthony L. Corso, Kyle Hollins Wray, Stefan J. Witwicki, Mykel J. Kochenderfer

Proceedings of the IEEE Intelligent Vehicles Symposium, 2023

SAVME: Efficient Safety Validation for Autonomous Systems Using Meta-Learning.

Marc R. Schlichting, Nina V. Boord, Anthony L. Corso, Mykel J. Kochenderfer

Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2023

Leveraging Compositional Methods for Modeling and Verification of an Autonomous Taxi System.

Alessandro Pinto, Anthony Corso, Edward Schmerling

Proceedings of the IEEE International Conference on Assured Autonomy, 2023

Online Planning for Constrained POMDPs with Continuous Spaces through Dual Ascent.

Arec L. Jamgochian, Anthony Corso, Mykel J. Kochenderfer

Proceedings of the Thirty-Third International Conference on Automated Planning and Scheduling, 2023

2022

Verification of Image-Based Neural Network Controllers Using Generative Models.

Sydney M. Katz, Anthony L. Corso, Christopher A. Strong, Mykel J. Kochenderfer

J. Aerosp. Inf. Syst., September, 2022

A POMDP Model for Safe Geological Carbon Sequestration.

Anthony Corso, Yizheng Wang, Markus Zechner, Jef Caers, Mykel J. Kochenderfer

CoRR, 2022

A Deep Reinforcement Learning Approach to Rare Event Estimation.

Anthony Corso, Kyu-Young Kim, Shubh Gupta, Grace Gao, Mykel J. Kochenderfer

CoRR, 2022

Verifying Inverse Model Neural Networks.

Chelsea Sidrane, Sydney M. Katz, Anthony Corso, Mykel J. Kochenderfer

CoRR, 2022

Risk-Driven Design of Perception Systems.

Anthony Corso, Sydney M. Katz, Craig Innes, Xin Du, Subramanian Ramamoorthy, Mykel J. Kochenderfer

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

ZoPE: A Fast Optimizer for ReLU Networks with Low-Dimensional Inputs.

Christopher A. Strong, Sydney M. Katz, Anthony L. Corso, Mykel J. Kochenderfer

Proceedings of the NASA Formal Methods - 14th International Symposium, 2022

Using Adaptive Stress Testing to Identify Paths to Ethical Dilemmas in Autonomous Systems.

Ann-Katrin Reuel, Mark Koren, Anthony Corso, Mykel J. Kochenderfer

Proceedings of the Workshop on Artificial Intelligence Safety 2022 (SafeAI 2022) co-located with the Thirty-Sixth AAAI Conference on Artificial Intelligence (AAAI2022), 2022

2021

A Survey of Algorithms for Black-Box Safety Validation of Cyber-Physical Systems.

Anthony Corso, Robert J. Moss, Mark Koren, Ritchie Lee, Mykel J. Kochenderfer

J. Artif. Intell. Res., 2021

Transfer Learning for Efficient Iterative Safety Validation.

Anthony Corso, Mykel J. Kochenderfer

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

A Survey of Algorithms for Black-Box Safety Validation.

Anthony Corso, Robert J. Moss, Mark Koren, Ritchie Lee, Mykel J. Kochenderfer

CoRR, 2020

The Adaptive Stress Testing Formulation.

Mark Koren, Anthony Corso, Mykel J. Kochenderfer

CoRR, 2020

Scalable Autonomous Vehicle Safety Validation through Dynamic Programming and Scene Decomposition.

Anthony Corso, Ritchie Lee, Mykel J. Kochenderfer

Proceedings of the 23rd IEEE International Conference on Intelligent Transportation Systems, 2020

Interpretable Safety Validation for Autonomous Vehicles.

Anthony Corso, Mykel J. Kochenderfer

Proceedings of the 23rd IEEE International Conference on Intelligent Transportation Systems, 2020

2019

Adaptive Stress Testing with Reward Augmentation for Autonomous Vehicle Validation.

Anthony Corso, Peter Du, Katherine Rose Driggs-Campbell, Mykel J. Kochenderfer

CoRR, 2019

Adaptive Stress Testing with Reward Augmentation for Autonomous Vehicle Validatio.

Anthony Corso, Peter Du, Katherine Rose Driggs-Campbell, Mykel J. Kochenderfer

Proceedings of the 2019 IEEE Intelligent Transportation Systems Conference, 2019