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How Useful are Gradients for OOD Detection Really?


May 20, 2022
Conor Igoe, Youngseog Chung, Ian Char, Jeff Schneider


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BATS: Best Action Trajectory Stitching


Apr 26, 2022
Ian Char, Viraj Mehta, Adam Villaflor, John M. Dolan, Jeff Schneider

* Accepted to NeurIPS Offline RL Workshop 2021 

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Uncertainty Toolbox: an Open-Source Library for Assessing, Visualizing, and Improving Uncertainty Quantification


Sep 21, 2021
Youngseog Chung, Ian Char, Han Guo, Jeff Schneider, Willie Neiswanger


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Beyond Pinball Loss: Quantile Methods for Calibrated Uncertainty Quantification


Dec 04, 2020
Youngseog Chung, Willie Neiswanger, Ian Char, Jeff Schneider


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Neural Dynamical Systems: Balancing Structure and Flexibility in Physical Prediction


Jun 23, 2020
Viraj Mehta, Ian Char, Willie Neiswanger, Youngseog Chung, Andrew Oakleigh Nelson, Mark D Boyer, Egemen Kolemen, Jeff Schneider


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Offline Contextual Bayesian Optimization for Nuclear Fusion


Jan 06, 2020
Youngseog Chung, Ian Char, Willie Neiswanger, Kirthevasan Kandasamy, Andrew Oakleigh Nelson, Mark D Boyer, Egemen Kolemen, Jeff Schneider

* 6 pages, 2 figures, Machine Learning and Physical Sciences workshop 

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