| Image reconstruction by domain-transform manifold learning B Zhu, JZ Liu, SF Cauley, BR Rosen, MS Rosen Nature 555 (7697), 487-492, 2018 | 1456 | 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 | 273 | 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 | 246 | 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 | 127 | 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 | 65 | 2015 |
| 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 | 60 | 2021 |
| Accurate uncertainty estimation and decomposition in ensemble learning J Liu, J Paisley, MA Kioumourtzoglou, B Coull Advances in neural information processing systems 32, 2019 | 60* | 2019 |
| 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 | 59 | 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 | 41* | 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 | 34 | 2017 |
| 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 | 25 | 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 | 21 | 2020 |
| 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 | 17 | 2018 |
| 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 | 17 | 2017 |
| Reliable graph neural networks for drug discovery under distributional shift K Han, B Lakshminarayanan, J Liu NeurIPS 2021 Workshop on Distribution Shifts, 2021 | 15 | 2021 |
| 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 | 15* | 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 | 14 | 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 | 14 | 2014 |
| 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 23, 1-63, 2022 | 12 | 2022 |
| 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 | 12 | 2019 |
Balaji LakshminarayananSenior Staff Research Scientist at Google BrainVahvistettu sähköpostiosoite verkkotunnuksessa google.com
