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Ian Char
Ian Char
PhD Student, Carnegie Mellon
Verified email at andrew.cmu.edu - Homepage
Title
Cited by
Cited by
Year
Toward a non-intrusive, physio-behavioral biometric for smartphones
E Vasiete, Y Chen, I Char, T Yeh, V Patel, L Davis, R Chellappa
Proceedings of the 16th international conference on Human-computer …, 2014
182014
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
122021
Offline Contextual Bayesian Optimization
I Char, Y Chung, W Neiswanger, K Kandasamy, AO Nelson, M Boyer, ...
Advances in Neural Information Processing Systems, 4629-4640, 2019
122019
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
112021
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
52021
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
52020
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
32022
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
22020
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
12021
Deep Attentive Variational Inference
I Apostolopoulou, I Char, E Rosenfeld, A Dubrawski
International Conference on Learning Representations, 2021
12021
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
12021
Stochastic Analysis of Minimal Automata Growth for Generalized Strings
IG Char, ME Lladser
Methodology and Computing in Applied Probability, 2019
1*2019
How Useful are Gradients for OOD Detection Really?
C Igoe, Y Chung, I Char, J Schneider
arXiv preprint arXiv:2205.10439, 2022
2022
BATS: Best Action Trajectory Stitching
I Char, V Mehta, A Villaflor, JM Dolan, J Schneider
arXiv preprint arXiv:2204.12026, 2022
2022
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Articles 1–14