Jeremiah Zhe Liu
Title
Cited by
Cited by
Year
Image reconstruction by domain-transform manifold learning
B Zhu, JZ Liu, SF Cauley, BR Rosen, MS Rosen
Nature 555 (7697), 487-492, 2018
8492018
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
482015
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
462020
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
262017
Accurate uncertainty estimation and decomposition in ensemble learning
JZ Liu, J Paisley, MA Kioumourtzoglou, B Coull
arXiv preprint arXiv:1911.04061, 2019
202019
Training independent subnetworks for robust prediction
M Havasi, R Jenatton, S Fort, JZ Liu, J Snoek, B Lakshminarayanan, ...
arXiv preprint arXiv:2010.06610, 2020
172020
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
142017
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
122014
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
92020
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
92018
Robust hypothesis test for nonlinear effect with gaussian processes
JZ Liu, B Coull
arXiv preprint arXiv:1710.01406, 2017
72017
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
42021
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
42020
Gaussian Process Regression and Classification under Mathematical Constraints with Learning Guarantees
JZ Liu
arXiv preprint arXiv:1904.09632, 2019
42019
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
32019
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
22021
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
22020
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
22019
Variable selection with rigorous uncertainty quantification using bayesian deep neural networks
JZ Liu
Bayesian Deep Learning Workshop at NeurIPS, 2019
22019
Adaptive and calibrated ensemble learning with dependent tail-free process
JZ Liu, J Paisley, MA Kioumourtzoglou, BA Coull
arXiv preprint arXiv:1812.03350, 2018
22018
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Articles 1–20