Egemen Kolemen

27 papers A* 3B 2Journal 20Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Beyond the Loss Curve: Scaling Laws, Active Learning, and the Limits of Learning from Exact Posteriors. CoRR Arian Khorasani, Nathaniel Chen, Yug D. Oswal, Akshat Santhana Gopalan, Egemen Kolemen, Ravid Shwartz-Ziv
2026	A*	`conf`	Multimodal Super-Resolution: Discovering Hidden Physics and Its Application to Fusion Plasmas (Abstract Reprint). AAAI Azarakhsh Jalalvand, SangKyeun Kim, Jaemin Seo, Qiming Hu, Max Curie, Peter Steiner, Andrew Oakleigh Nelson, Yong-Su Na, Egemen Kolemen
2026	J	`jnl`	TokEye: Fast Signal Extraction for Fluctuating Time Series via Offline Self-Supervised Learning From Fusion Diagnostics to Bioacoustics. CoRR Nathaniel Chen, Kouroche Bouchiat, Peter Steiner, Andrew Rothstein, David R. Smith, Max Austin, Michael Van Zeeland, Azarakhsh Jalalvand, Egemen Kolemen
2025	J	`jnl`	Enabling Integrated AI Control on DIII-D: A Control System Design with State-of-the-art Experiments. CoRR Andrew Rothstein, Hiro Josep Farre Kaga, Jalal Butt, Ricardo Shousha, Keith Erickson, Takuma Wakatsuki, Azarakhsh Jalalvand, Peter Steiner, SangKyeun Kim, Egemen Kolemen
2025	A*	`conf`	Multi-Timescale Dynamics Model Bayesian Optimization for Plasma Stabilization in Tokamaks. ICML Rohit Sonker, Alexandre Capone, Andrew Rothstein, Hiro Josep Farre Kaga, Egemen Kolemen, Jeff Schneider
2025	J	`jnl`	Multi-Timescale Dynamics Model Bayesian Optimization for Plasma Stabilization in Tokamaks. CoRR Rohit Sonker, Alexandre Capone, Andrew Rothstein, Hiro Josep Farre Kaga, Egemen Kolemen, Jeff G. Schneider
2025	J	`jnl`	PCGBandit: One-shot acceleration of transient PDE solvers via online-learned preconditioners. CoRR Mikhail Khodak, Min Ki Jung, Brian Wynne, Edmond Chow, Egemen Kolemen
2025	J	`jnl`	Regulation Compliant AI for Fusion: Real-Time Image Analysis-Based Control of Divertor Detachment in Tokamaks. CoRR Nathaniel Chen, Cheolsik Byun, Azarakhsh Jalalvand, SangKyeun Kim, Andrew Rothstein, Filippo Scotti, Steve Allen, David Eldon, Keith Erickson, Egemen Kolemen
2025	J	`jnl`	ZERNIPAX: A fast and accurate Zernike polynomial calculator in Python. Appl. Math. Comput. Yigit Gunsur Elmacioglu, Rory Conlin, Daniel W. Dudt, Dario Panici, Egemen Kolemen
2024	J	`jnl`	Avoiding fusion plasma tearing instability with deep reinforcement learning. Nat. Jaemin Seo, SangKyeun Kim, Azarakhsh Jalalvand, Rory Conlin, Andrew Rothstein, Joseph Abbate, Keith Erickson, Josiah Wai, Ricardo Shousha, Egemen Kolemen
2024	J	`jnl`	Diag2Diag: Multimodal super-resolution diagnostics for physics discovery with application to fusion. CoRR Azarakhsh Jalalvand, Max Curie, SangKyeun Kim, Peter Steiner, Jaemin Seo, Qiming Hu, Andrew Oakleigh Nelson, Egemen Kolemen
2024	J	`jnl`	Full Shot Predictions for the DIII-D Tokamak via Deep Recurrent Networks. CoRR Ian Char, Youngseog Chung, Joseph Abbate, Egemen Kolemen, Jeff G. Schneider
2024	J	`jnl`	High Order Free Boundary MHD Equilibria in DESC. CoRR Rory Conlin, Jonathan Schilling, Daniel W. Dudt, Dario Panici, Rogerio Jorge, Egemen Kolemen
2024	J	`jnl`	Model-free stabilization via Extremum Seeking using a cost neural estimator. Expert Syst. Appl. Sara Dubbioso, Azarakhsh Jalalvand, Josiah Wai, Gianmaria De Tommasi, Egemen Kolemen
2024	J	`jnl`	Real-time confinement regime detection in fusion plasmas with convolutional neural networks and high-bandwidth edge fluctuation measurements. Mach. Learn. Sci. Technol. Kevin Gill, David R. Smith, Semin Joung, Benedikt Geiger, George McKee, J. Zimmerman, Ryan N. Coffee, Azarakhsh Jalalvand, Egemen Kolemen
2024	J	`jnl`	Stellarator Optimization with Constraints. CoRR Rory Conlin, Patrick Kim, Daniel W. Dudt, Dario Panici, Egemen Kolemen
2024	J	`jnl`	ZERNIPAX: A Fast and Accurate Zernike Polynomial Calculator in Python. CoRR Yigit Gunsur Elmacioglu, Rory Conlin, Daniel W. Dudt, Dario Panici, Egemen Kolemen
2023	B	`conf`	Alfvén eigenmode detection using Long-Short Term Memory Networks and CO2 Interferometer data on the DIII-D National Fusion Facility. IJCNN Alvin V. Garcia, Azarakhsh Jalalvand, Peter Steiner, Andrew Rothstein, Michael Van Zeeland, William W. Heidbrink, Egemen Kolemen
2023	B	`conf`	Multimodal Prediction of Tearing Instabilities in a Tokamak. IJCNN Jaemin Seo, Rory Conlin, Andrew Rothstein, SangKyeun Kim, Joseph Abbate, Azarakhsh Jalalvand, Egemen Kolemen
2023	—	`conf`	Offline Model-Based Reinforcement Learning for Tokamak Control. L4DC Ian Char, Joseph Abbate, Laszlo Bardoczi, Mark D. Boyer, Youngseog Chung, Rory Conlin, Keith Erickson, Viraj Mehta, Nathan Richner, Egemen Kolemen, Jeff G. Schneider
2022	J	`jnl`	Real-Time and Adaptive Reservoir Computing With Application to Profile Prediction in Fusion Plasma. IEEE Trans. Neural Networks Learn. Syst. Azarakhsh Jalalvand, Joseph Abbate, Rory Conlin, Geert Verdoolaege, Egemen Kolemen
2022	J	`jnl`	The DESC Stellarator Code Suite Part II: Perturbation and continuation methods. CoRR Rory Conlin, Daniel W. Dudt, Dario Panici, Egemen Kolemen
2021	J	`jnl`	Keras2c: A library for converting Keras neural networks to real-time compatible C. Eng. Appl. Artif. Intell. Rory Conlin, Keith Erickson, Joseph Abbate, Egemen Kolemen
2021	—	`conf`	Neural Dynamical Systems: Balancing Structure and Flexibility in Physical Prediction. CDC Viraj Mehta, Ian Char, Willie Neiswanger, Youngseog Chung, Andrew Oakleigh Nelson, Mark D. Boyer, Egemen Kolemen, Jeff G. Schneider
2020	J	`jnl`	Neural Dynamical Systems: Balancing Structure and Flexibility in Physical Prediction. CoRR Viraj Mehta, Ian Char, Willie Neiswanger, Youngseog Chung, Andrew Oakleigh Nelson, Mark D. Boyer, Egemen Kolemen, Jeff Schneider
2020	J	`jnl`	Offline Contextual Bayesian Optimization for Nuclear Fusion. CoRR Youngseog Chung, Ian Char, Willie Neiswanger, Kirthevasan Kandasamy, Andrew Oakleigh Nelson, Mark D. Boyer, Egemen Kolemen, Jeff Schneider
2019	A*	`conf`	Offline Contextual Bayesian Optimization. NeurIPS Ian Char, Youngseog Chung, Willie Neiswanger, Kirthevasan Kandasamy, Oak Nelson, Mark D. Boyer, Egemen Kolemen