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2020 – today
- 2024
[j4]Sara Dubbioso
, Azarakhsh Jalalvand, Josiah Wai, Gianmaria De Tommasi, Egemen Kolemen:
Model-free stabilization via Extremum Seeking using a cost neural estimator. Expert Syst. Appl. 258: 125204 (2024)- [j3]Jaemin Seo, SangKyeun Kim, Azarakhsh Jalalvand, Rory Conlin, Andrew Rothstein, Joseph Abbate, Keith Erickson, Josiah Wai, Ricardo Shousha, Egemen Kolemen:
Avoiding fusion plasma tearing instability with deep reinforcement learning. Nat. 626(8000): 746-751 (2024) - [i7]Rory Conlin, Patrick Kim, Daniel W. Dudt, Dario Panici, Egemen Kolemen:
Stellarator Optimization with Constraints. CoRR abs/2403.11033 (2024) - [i6]Ian Char, Youngseog Chung, Joseph Abbate, Egemen Kolemen, Jeff G. Schneider:
Full Shot Predictions for the DIII-D Tokamak via Deep Recurrent Networks. CoRR abs/2404.12416 (2024) - [i5]Azarakhsh Jalalvand, Max Curie, SangKyeun Kim, Peter Steiner, Jaemin Seo, Qiming Hu, Andrew Oakleigh Nelson, Egemen Kolemen:
Diag2Diag: Multimodal super-resolution diagnostics for physics discovery with application to fusion. CoRR abs/2405.05908 (2024) - [i4]Yigit Gunsur Elmacioglu, Rory Conlin, Daniel W. Dudt, Dario Panici, Egemen Kolemen:
ZERNIPAX: A Fast and Accurate Zernike Polynomial Calculator in Python. CoRR abs/2409.19156 (2024) - 2023
- [c5]Alvin V. Garcia, Azarakhsh Jalalvand, Peter Steiner, Andrew Rothstein, Michael Van Zeeland, William W. Heidbrink, Egemen Kolemen:
Alfvén eigenmode detection using Long-Short Term Memory Networks and CO2 Interferometer data on the DIII-D National Fusion Facility. IJCNN 2023: 1-8 - [c4]Jaemin Seo, Rory Conlin, Andrew Rothstein, SangKyeun Kim, Joseph Abbate, Azarakhsh Jalalvand, Egemen Kolemen:
Multimodal Prediction of Tearing Instabilities in a Tokamak. IJCNN 2023: 1-8 - [c3]Ian Char, Joseph Abbate, Laszlo Bardoczi, Mark D. Boyer, Youngseog Chung, Rory Conlin, Keith Erickson, Viraj Mehta, Nathan Richner, Egemen Kolemen, Jeff G. Schneider:
Offline Model-Based Reinforcement Learning for Tokamak Control. L4DC 2023: 1357-1372 - 2022
- [j2]Azarakhsh Jalalvand, Joseph Abbate, Rory Conlin, Geert Verdoolaege, Egemen Kolemen:
Real-Time and Adaptive Reservoir Computing With Application to Profile Prediction in Fusion Plasma. IEEE Trans. Neural Networks Learn. Syst. 33(6): 2630-2641 (2022) - [i3]Rory Conlin, Daniel W. Dudt, Dario Panici, Egemen Kolemen:
The DESC Stellarator Code Suite Part II: Perturbation and continuation methods. CoRR abs/2203.15927 (2022) - 2021
- [j1]Rory Conlin, Keith Erickson, Joseph Abbate, Egemen Kolemen:
Keras2c: A library for converting Keras neural networks to real-time compatible C. Eng. Appl. Artif. Intell. 100: 104182 (2021) - [c2]Viraj Mehta, Ian Char, Willie Neiswanger, Youngseog Chung, Andrew Oakleigh Nelson, Mark D. Boyer, Egemen Kolemen, Jeff G. Schneider:
Neural Dynamical Systems: Balancing Structure and Flexibility in Physical Prediction. CDC 2021: 3735-3742 - 2020
- [i2]Youngseog Chung, Ian Char, Willie Neiswanger, Kirthevasan Kandasamy, Andrew Oakleigh Nelson, Mark D. Boyer, Egemen Kolemen, Jeff Schneider:
Offline Contextual Bayesian Optimization for Nuclear Fusion. CoRR abs/2001.01793 (2020) - [i1]Viraj Mehta, Ian Char, Willie Neiswanger, Youngseog Chung, Andrew Oakleigh Nelson, Mark D. Boyer, Egemen Kolemen, Jeff Schneider:
Neural Dynamical Systems: Balancing Structure and Flexibility in Physical Prediction. CoRR abs/2006.12682 (2020)
2010 – 2019
- 2019
- [c1]Ian Char, Youngseog Chung, Willie Neiswanger, Kirthevasan Kandasamy, Oak Nelson, Mark D. Boyer, Egemen Kolemen:
Offline Contextual Bayesian Optimization. NeurIPS 2019: 4629-4640
Coauthor Index
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