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
Gemini: a family of highly capable multimodal models
G Team, R Anil, S Borgeaud, Y Wu, JB Alayrac, J Yu, R Soricut, ...
arXiv preprint arXiv:2312.11805, 2023
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
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
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
Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context
M Reid, N Savinov, D Teplyashin, D Lepikhin, T Lillicrap, J Alayrac, ...
arXiv preprint arXiv:2403.05530, 2024
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
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
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
Out-of-distribution detection and selective generation for conditional language models
J Ren, J Luo, Y Zhao, K Krishna, M Saleh, B Lakshminarayanan, PJ Liu
The Eleventh International Conference on Learning Representations, 2022
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
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, ...
Journal of Machine Learning Research 24 (42), 1-63, 2023
Reliable graph neural networks for drug discovery under distributional shift
K Han, B Lakshminarayanan, J Liu
NeurIPS 2021 Workshop on Distribution Shifts, 2021
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
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
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