publications

2023

1. Towards LLMs as Operational Copilots for Fusion Reactors

   Viraj Mehta, Joseph Abbate, Allen Wang, and 6 more authors

   NeurIPS 2023 AI for Science Workshop, 2023
2. Hybridizing Physics and Neural ODEs for Predicting Plasma Inductance Dynamics in Tokamak Fusion Reactors

   Allen Wang, Darren T Garnier, and Cristina Rea

   Neurips 2023 Workshop on Tackling Climate Change with Machine Learning, 2023
3. The impact of disruptions on the economics of a tokamak power plant

   Andrew D Maris, Allen Wang, Cristina Rea, and 2 more authors

   Fusion Science and Technology, 2023

2022

1. Fast nonlinear risk assessment for autonomous vehicles using learned conditional probabilistic models of agent futures

   Ashkan Jasour, Xin Huang, Allen Wang, and 1 more author

   Autonomous Robots, 2022

2021

1. Moment-based exact uncertainty propagation through nonlinear stochastic autonomous systems

   Ashkan Jasour, Allen Wang, and Brian C Williams

   arXiv preprint arXiv:2101.12490, 2021

2020

1. Non-Gaussian Chance-Constrained Trajectory Planning for Autonomous Vehicles under Agent Uncertainty

   Allen Wang, Ashkan Jasour, and Brian Williams

   IEEE Robotics and Automation Letters, 2020
2. Robust lane detection with binary integer optimization

   Kathleen Brandes, Allen Wang, and Rushina Shah

   In 2020 IEEE International Conference on Robotics and Automation (ICRA), 2020
3. Fast Risk Assessment for Autonomous Vehicles Using Learned Models of Agent Futures

   Allen Wang, Xin Huang, Ashkan Jasour, and 1 more author

   In Robotics: Science and Systems (RSS), 2020
4. Moment state dynamical systems for nonlinear chance-constrained motion planning

   Allen Wang, Ashkan Jasour, and Brian Williams

   arXiv preprint arXiv:2003.10379, 2020

2018

1. Beyond Mean–Variance: The Mean–Gini Approach to Optimization Under Uncertainty

   Mengyu Wang, Hanumanthrao Kannan, and Christina Bloebaum

   Journal of Mechanical Design, 2018