| Uncertainty quantification in machine learning and nonlinear least squares regression models N Zhan, JR Kitchin AIChE Journal 68 (6), e17516, 2022 | 12 | 2022 |
| Graphical models for financial time series and portfolio selection N Zhan, Y Sun, A Jakhar, H Liu Proceedings of the first acm international conference on ai in finance, 1-6, 2020 | 9 | 2020 |
| Model-Specific to Model-General Uncertainty for Physical Properties N Zhan, JR Kitchin Industrial & Engineering Chemistry Research 61 (24), 8368-8377, 2022 | 3 | 2022 |
| Origin of the Stokes–Einstein deviation in liquid Al–Si N Zhan, JR Kitchin Molecular Simulation 48 (4), 303-313, 2022 | | 2022 |
| Where does the Stimulus go? Deep Generative Model for Commercial Banking Deposits N Zhan arXiv preprint arXiv:2101.09230, 2021 | | 2021 |
| Uncertainty Measurement Method for Machine Learned Potentials N Zhan, J Kitchin 2019 AIChE Annual Meeting, 2019 | | 2019 |
John KitchinCarnegie Mellon UniversityVerified email at andrew.cmu.edu
