Articoli con mandati relativi all'accesso pubblico - Youngseog ChungUlteriori informazioni
Disponibili pubblicamente: 6
Beyond pinball loss: Quantile methods for calibrated uncertainty quantification
Y Chung, W Neiswanger, I Char, J Schneider
Advances in Neural Information Processing Systems 34, 10971-10984, 2021
Mandati: US National Science Foundation, US Department of Energy, US Department of …
Offline contextual bayesian optimization
I Char, Y Chung, W Neiswanger, K Kandasamy, AO Nelson, M Boyer, ...
Advances in Neural Information Processing Systems 32, 2019
Mandati: US National Science Foundation
Neural dynamical systems: Balancing structure and flexibility in physical prediction
V Mehta, I Char, W Neiswanger, Y Chung, A Nelson, M Boyer, E Kolemen, ...
2021 60th IEEE Conference on Decision and Control (CDC), 3735-3742, 2021
Mandati: US National Science Foundation
DIII-D research advancing the physics basis for optimizing the tokamak approach to fusion energy
ME Fenstermacher, J Abbate, S Abe, T Abrams, M Adams, B Adamson, ...
Nuclear Fusion 62 (4), 042024, 2022
Mandati: US Department of Energy
Offline model-based reinforcement learning for tokamak control
I Char, J Abbate, L Bardóczi, M Boyer, Y Chung, R Conlin, K Erickson, ...
Learning for Dynamics and Control Conference, 1357-1372, 2023
Mandati: US National Science Foundation, US Department of Energy
Parity Calibration
Y Chung, A Rumack, C Gupta
Proceedings of the Thirty-Ninth Conference on Uncertainty in Artificial …, 2023
Mandati: US Department of Energy
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