|Beyond pinball loss: Quantile methods for calibrated uncertainty quantification|
Y Chung, W Neiswanger, I Char, J Schneider
Advances in Neural Information Processing Systems 34, 2021
|Uncertainty toolbox: an open-source library for assessing, visualizing, and improving uncertainty quantification|
Y Chung, I Char, H Guo, J Schneider, W Neiswanger
arXiv preprint arXiv:2109.10254, 2021
|Offline contextual bayesian optimization|
I Char, Y Chung, W Neiswanger, K Kandasamy, AO Nelson, M Boyer, ...
Advances in Neural Information Processing Systems 32, 2019
|Offline contextual bayesian optimization for nuclear fusion|
Y Chung, I Char, W Neiswanger, K Kandasamy, AO Nelson, MD Boyer, ...
arXiv preprint arXiv:2001.01793, 2020
|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
|Neural dynamical systems|
V Mehta, I Char, W Neiswanger, Y Chung, AO Nelson, MD Boyer, ...
ICLR 2020 Workshop on Integration of Deep Neural Models and Differential …, 2020
|Machine learning for tokamak scenario optimization: combining accelerating physics models and empirical models|
M Boyer, J Wai, M Clement, E Kolemen, I Char, Y Chung, W Neiswanger, ...
Bulletin of the American Physical Society 66, 2021
|A Model-Based Reinforcement Learning Approach for Beta Control|
I Char, Y Chung, M Boyer, E Kolemen, J Schneider
APS Division of Plasma Physics Meeting Abstracts 2021, PP11. 150, 2021
|Post-nonlinear Causal Model with Deep Neural Networks|
Y Chung, J Kim, T Yan, H Zhou