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Jeremiah Zhe Liu
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Year
Image reconstruction by domain-transform manifold learning
B Zhu, JZ Liu, SF Cauley, BR Rosen, MS Rosen
Nature 555 (7697), 487-492, 2018
12212018
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
1342020
Training independent subnetworks for robust prediction
M Havasi, R Jenatton, S Fort, JZ Liu, J Snoek, B Lakshminarayanan, ...
International Conference on Learning Representations, 2021
862021
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
562015
Accurate uncertainty estimation and decomposition in ensemble learning
J Liu, J Paisley, MA Kioumourtzoglou, B Coull
Advances in neural information processing systems 32, 2019
362019
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
322017
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
272021
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
262021
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
212020
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
172017
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
142014
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 the 26th Scientific Meeting, International Society for …, 2018
132018
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
102020
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
92019
Robust hypothesis test for nonlinear effect with gaussian processes
J Liu, B Coull
Advances in Neural Information Processing Systems 30, 2017
92017
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
8*2021
Reliable graph neural networks for drug discovery under distributional shift
K Han, B Lakshminarayanan, J Liu
NeurIPS 2021 Workshop on Distribution Shifts, 2021
72021
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
42022
Deep classifiers with label noise modeling and distance awareness
V Fortuin, M Collier, F Wenzel, J Allingham, J Liu, D Tran, ...
arXiv preprint arXiv:2110.02609, 2021
42021
Measuring and improving model-moderator collaboration using uncertainty estimation
ID Kivlichan, Z Lin, J Liu, L Vasserman
Proceedings of the 5th Workshop on Online Abuse and Harms (WOAH 2021), 36–53, 2021
42021
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Articles 1–20