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
Measuring Calibration in Deep Learning
J Nixon, M Dusenberry, G Jerfel, T Nguyen, J Liu, L Zhang, D Tran
arXiv preprint arXiv:1904.01685, 2019
Simple and principled uncertainty estimation with deterministic deep learning via distance awareness
J Liu, Z Lin, S Padhy, D Tran, T Bedrax Weiss, B Lakshminarayanan
Advances in Neural Information Processing Systems 33, 7498-7512, 2020
Training independent subnetworks for robust prediction
M Havasi, R Jenatton, S Fort, JZ Liu, J Snoek, B Lakshminarayanan, ...
International Conference on Learning Representations, 2021
A simple fix to mahalanobis distance for improving near-ood detection
J Ren, S Fort, J Liu, AG Roy, S Padhy, B Lakshminarayanan
ICML 2021 Workshop on Uncertainty and Robustness in Deep Learning, 2021
Uncertainty Baselines: Benchmarks for uncertainty & robustness in deep learning
Z Nado, N Band, M Collier, J Djolonga, MW Dusenberry, S Farquhar, ...
NeurIPS 2021 Workshop in Bayesian Deep Learning, 2021
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
Accurate uncertainty estimation and decomposition in ensemble learning
J Liu, J Paisley, MA Kioumourtzoglou, B Coull
Advances in neural information processing systems 32, 2019
Plex: Towards reliability using pretrained large model extensions
D Tran, J Liu, MW Dusenberry, D Phan, M Collier, J Ren, K Han, Z Wang, ...
arXiv preprint arXiv:2207.07411, 2022
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
ICML 2020 Workshop on Uncertainty & Robustness in Deep Learning, 2020
Pruning redundant mappings in transformer models via spectral-normalized identity prior
Z Lin, JZ Liu, Z Yang, N Hua, D Roth
Findings of the Empirical Methods in Natural Language Processing (EMNLP …, 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
Reliable graph neural networks for drug discovery under distributional shift
K Han, B Lakshminarayanan, J Liu
NeurIPS 2021 Workshop on Distribution Shifts, 2021
A Simple Approach to Improve Single-Model Deep Uncertainty via Distance-Awareness.
JZ Liu, S Padhy, J Ren, Z Lin, Y Wen, G Jerfel, Z Nado, J Snoek, D Tran, ...
J. Mach. Learn. Res. 24, 42:1-42:63, 2023
AUTOmated pulse SEQuence generation (AUTOSEQ) using Bayesian reinforcement learning in an MRI physics simulation environment
B Zhu, J Liu, N Koonjoo, BR Rosen, MS Rosen
Proceedings of Joint Annual Meeting ISMRM-ESMRMB, 2018
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
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
Health effects of air pollutant mixtures on overall mortality among the elderly population using Bayesian kernel machine regression (BKMR)
H Li, W Deng, R Small, J Schwartz, J Liu, L Shi
Chemosphere 286, 131566, 2022
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
Incident dementia and long-term exposure to constituents of fine particle air pollution: A national cohort study in the United States
L Shi, Q Zhu, Y Wang, H Hao, H Zhang, J Schwartz, H Amini, ...
Proceedings of the National Academy of Sciences 120 (1), e2211282119, 2023
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