| A Survey of Algorithms for Black-Box Safety Validation of Cyber-Physical Systems A Corso, RJ Moss, M Koren, R Lee, MJ Kochenderfer Journal of Artificial Intelligence Research 72, 377–428, 2021 | 168 | 2021 |
| ACAS Xu: Integrated Collision Avoidance and Detect and Avoid Capability for UAS MP Owen, A Panken, R Moss, L Alvarez, C Leeper IEEE/AIAA Digital Avionics Systems Conference (DASC), 1-10, 2019 | 65* | 2019 |
| Automated Dynamic Resource Allocation for Wildfire Suppression JD Griffith, MJ Kochenderfer, RJ Moss, VV Mišić, V Gupta, D Bertsimas Lincoln Laboratory Journal 22 (2), 38-59, 2017 | 24 | 2017 |
| Adaptive Stress Testing of Trajectory Predictions in Flight Management Systems RJ Moss, R Lee, N Visser, J Hochwarth, JG Lopez, MJ Kochenderfer AIAA/IEEE Digital Avionics Systems Conference (DASC), 1-10, 2020 | 18 | 2020 |
| A comparison of Monte Carlo tree search and mathematical optimization for large scale dynamic resource allocation D Bertsimas, JD Griffith, V Gupta, MJ Kochenderfer, VV Mišić, R Moss arXiv preprint arXiv:1405.5498, 2014 | 17 | 2014 |
| Rotation curve for the Milky Way galaxy in conformal gravity JG O'Brien, RJ Moss Journal of Physics: Conference Series 615 (1), 012002, 2015 | 12 | 2015 |
| Alternative gravity rotation curves for the LITTLE THINGS survey JG O’Brien, TL Chiarelli, J Dentico, M Stulge, B Stefanski, R Moss, ... The Astrophysical Journal 852 (1), 6, 2017 | 11 | 2017 |
| Cross-Entropy Method Variants for Optimization RJ Moss arXiv preprint arxiv:2009.09043, 2020 | 7 | 2020 |
| A Bayesian network model of pilot response to TCAS resolution advisories EH Londner, RJ Moss Proceedings of the Twelfth USA/Europe Air Traffic Management Research and …, 2017 | 7 | 2017 |
| Recent advancements in conformal gravity JG O’Brien, SS Chaykov, J Dentico, M Stulge, B Stefanski, RJ Moss Journal of Physics: Conference Series 845 (1), 012004, 2017 | 7 | 2017 |
| POMDPStressTesting.jl: Adaptive Stress Testing for Black-Box Systems RJ Moss Journal of Open Source Software 6 (60), 2749, 2021 | 5 | 2021 |
| Bayesian Safety Validation for Black-Box Systems RJ Moss, MJ Kochenderfer, M Gariel, A Dubois AIAA AVIATION Forum, 2023 | 4 | 2023 |
| Uncovering heterogeneous effects in computational models for sustainable decision-making M Kozlova, RJ Moss, JS Yeomans, J Caers Environmental Modelling & Software 171, 105898, 2024 | 3 | 2024 |
| 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 | 3 | 2023 |
| Certification Considerations for Adaptive Stress Testing of Airborne Software M Durling, H Herencia-Zapana, B Meng, M Meiners, J Hochwarth, ... IEEE/AIAA Digital Avionics Systems Conference (DASC), 1-9, 2021 | 3 | 2021 |
| Formal and Practical Elements for the Certification of Machine Learning Systems JG Durand, A Dubois, RJ Moss AIAA/IEEE Digital Avionics Systems Conference (DASC), 2023 | 2 | 2023 |
| Prioritizing emergency evacuations under compounding levels of uncertainty LJ Einstein, RJ Moss, MJ Kochenderfer IEEE Global Humanitarian Technology Conference (GHTC), 265-272, 2022 | 2 | 2022 |
| Bayesian Network Model of Pilot Response to Collision Avoidance System Resolution Advisories EH Londner, RJ Moss Journal of Air Transportation 26 (4), 171-182, 2018 | 2 | 2018 |
| Autonomous Vehicle Risk Assessment RJ Moss, S Gupta, RD ASL, KL ASL, MJ Kochenderfer, GX Gao, MP ASL, ... Stanford Center for AI Safety, 0 | 2* | |
| Algorithms for efficient validation of black-box systems RJ Moss Stanford University, 2021 | 1 | 2021 |
Mykel J. KochenderferAssociate Professor, Stanford UniversityVerified email at stanford.edu
