Rory Conlin

According to our database, Rory Conlin authored at least 9 papers between 2021 and 2024.

Collaborative distances:

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

2024

Avoiding fusion plasma tearing instability with deep reinforcement learning.

Jaemin Seo, SangKyeun Kim, Azarakhsh Jalalvand, Rory Conlin, Andrew Rothstein, Joseph Abbate, Keith Erickson, Josiah Wai, Ricardo Shousha, Egemen Kolemen

Nat., 2024

ZERNIPAX: A Fast and Accurate Zernike Polynomial Calculator in Python.

Yigit Gunsur Elmacioglu, Rory Conlin, Daniel W. Dudt, Dario Panici, Egemen Kolemen

CoRR, 2024

Stellarator Optimization with Constraints.

Rory Conlin, Patrick Kim, Daniel W. Dudt, Dario Panici, Egemen Kolemen

CoRR, 2024

2023

Offline Model-Based Reinforcement Learning for Tokamak Control.

Ian Char, Joseph Abbate, Laszlo Bardoczi, Mark D. Boyer, Youngseog Chung, Rory Conlin, Keith Erickson, Viraj Mehta, Nathan Richner, Egemen Kolemen, Jeff G. Schneider

Proceedings of the Learning for Dynamics and Control Conference, 2023

Multimodal Prediction of Tearing Instabilities in a Tokamak.

Jaemin Seo, Rory Conlin, Andrew Rothstein, SangKyeun Kim, Joseph Abbate, Azarakhsh Jalalvand, Egemen Kolemen

Proceedings of the International Joint Conference on Neural Networks, 2023

2022

Real-Time and Adaptive Reservoir Computing With Application to Profile Prediction in Fusion Plasma.

Azarakhsh Jalalvand, Joseph Abbate, Rory Conlin, Geert Verdoolaege, Egemen Kolemen

IEEE Trans. Neural Networks Learn. Syst., 2022

The DESC Stellarator Code Suite Part II: Perturbation and continuation methods.

Rory Conlin, Daniel W. Dudt, Dario Panici, Egemen Kolemen

CoRR, 2022

Exploration via Planning for Information about the Optimal Trajectory.

Viraj Mehta, Ian Char, Joseph Abbate, Rory Conlin, Mark D. Boyer, Stefano Ermon, Jeff Schneider, Willie Neiswanger

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

2021

Keras2c: A library for converting Keras neural networks to real-time compatible C.

Rory Conlin, Keith Erickson, Joseph Abbate, Egemen Kolemen

Eng. Appl. Artif. Intell., 2021