Jeremiah Zhe Liu
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Image reconstruction by domain-transform manifold learning
B Zhu, JZ Liu, SF Cauley, BR Rosen, MS Rosen
Nature 555 (7697), 487-492, 2018
Human metabolic responses to chronic environmental polycyclic aromatic hydrocarbon exposure by a metabolomic approach
Z Wang, Y Zheng, B Zhao, Y Zhang, Z Liu, J Xu, Y Chen, Z Yang, F Wang, ...
Journal of proteome research 14 (6), 2583-2593, 2015
Simple and principled uncertainty estimation with deterministic deep learning via distance awareness
JZ Liu, Z Lin, S Padhy, D Tran, T Bedrax-Weiss, B Lakshminarayanan
arXiv preprint arXiv:2006.10108, 2020
Use of a digital health application for influenza surveillance in China
Y Hswen, JS Brownstein, J Liu, JB Hawkins
American journal of public health 107 (7), 1130-1136, 2017
Accurate uncertainty estimation and decomposition in ensemble learning
JZ Liu, J Paisley, MA Kioumourtzoglou, B Coull
arXiv preprint arXiv:1911.04061, 2019
Training independent subnetworks for robust prediction
M Havasi, R Jenatton, S Fort, JZ Liu, J Snoek, B Lakshminarayanan, ...
arXiv preprint arXiv:2010.06610, 2020
Neural network MR image reconstruction with AUTOMAP: Automated transform by manifold approximation
B Zhu, JZ Liu, BR Rosen, MS Rosen
Proceedings of the 25st Annual Meeting of ISMRM, Honolulu, HI, USA 1 (2), 3, 2017
Population-based reference for birth weight for gestational age in northern China
Z Liu, J Zhang, B Zhao, X Xue, L Xu, F Wang, Y Zhang
Early human development 90 (4), 177-187, 2014
Revisiting one-vs-all classifiers for predictive uncertainty and out-of-distribution detection in neural networks
S Padhy, Z Nado, J Ren, J Liu, J Snoek, B Lakshminarayanan
arXiv preprint arXiv:2007.05134, 2020
AUTOmated pulse SEQuence generation (AUTOSEQ) using Bayesian reinforcement learning in an MRI physics simulation environment
B Zhu, J Liu, N Koonjoo, B Rosen, M Rosen
Proc. 26th Annu. Meeting ISMRM, 16-21, 2018
Robust hypothesis test for nonlinear effect with gaussian processes
JZ Liu, B Coull
arXiv preprint arXiv:1710.01406, 2017
Uncertainty Baselines: Benchmarks for Uncertainty & Robustness in Deep Learning
Z Nado, N Band, M Collier, J Djolonga, MW Dusenberry, S Farquhar, ...
arXiv preprint arXiv:2106.04015, 2021
Pruning Redundant Mappings in Transformer Models via Spectral-Normalized Identity Prior
Z Lin, JZ Liu, Z Yang, N Hua, D Roth
arXiv preprint arXiv:2010.01791, 2020
Gaussian Process Regression and Classification under Mathematical Constraints with Learning Guarantees
JZ Liu
arXiv preprint arXiv:1904.09632, 2019
AUTOmated pulse SEQuence generation (AUTOSEQ) and neural network decoding for fast quantitative MR parameter measurement using continuous and simultaneous RF transmit and receive
B Zhu, J Liu, N Koonjoo, B Rosen, MS Rosen
ISMRM Annual Meeting & Exhibition 1090, 2019
Variable selection with rigorous uncertainty quantification using deep bayesian neural networks: Posterior concentration and bernstein-von mises phenomenon
J Liu
International Conference on Artificial Intelligence and Statistics, 3124-3132, 2021
Simple and Principled Uncertainty Estimation with Deterministic Deep Learning via Distance Awareness
B Lakshminarayanan, D Tran, J Liu, S Padhy, T Bedrax-Weiss, Z Lin
Adaptive ensemble learning of spatiotemporal processes with calibrated predictive uncertainty: A bayesian nonparametric approach
JZ Liu, J Paisley, MA Kioumourtzoglou, BA Coull
arXiv preprint arXiv:1904.00521, 2019
Variable selection with rigorous uncertainty quantification using bayesian deep neural networks
JZ Liu
Bayesian Deep Learning Workshop at NeurIPS, 2019
Adaptive and calibrated ensemble learning with dependent tail-free process
JZ Liu, J Paisley, MA Kioumourtzoglou, BA Coull
arXiv preprint arXiv:1812.03350, 2018
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