| 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 | 240 | 2020 |
| Evaluating prediction-time batch normalization for robustness under covariate shift Z Nado, S Padhy, D Sculley, A D'Amour, B Lakshminarayanan, J Snoek arXiv preprint arXiv:2006.10963, 2020 | 102 | 2020 |
| A simple fix to mahalanobis distance for improving near-ood detection J Ren, S Fort, J Liu, AG Roy, S Padhy, B Lakshminarayanan arXiv preprint arXiv:2106.09022, 2021 | 59 | 2021 |
| 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 | 59 | 2021 |
| Using deep Siamese neural networks for detection of brain asymmetries associated with Alzheimer's disease and mild cognitive impairment CF Liu, S Padhy, S Ramachandran, VX Wang, A Efimov, A Bernal, L Shi, ... Magnetic resonance imaging 64, 190-199, 2019 | 52 | 2019 |
| 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 | 25 | 2020 |
| Stochastic solutions to rough surface scattering using the finite element method UK Khankhoje, S Padhy IEEE transactions on antennas and propagation 65 (8), 4170-4180, 2017 | 21 | 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 23, 1-63, 2022 | 12 | 2022 |
| Kernel Regression with Infinite-Width Neural Networks on Millions of Examples B Adlam, J Lee, S Padhy, Z Nado, J Snoek arXiv preprint arXiv:2303.05420, 2023 | | 2023 |
| Sampling-based inference for large linear models, with application to linearised Laplace J Antorán, S Padhy, R Barbano, E Nalisnick, D Janz, ... arXiv preprint arXiv:2210.04994, 2022 | | 2022 |
| Analyzing shape and residual pose of subcortical structures in brains of subjects with schizophrenia S Padhy Johns Hopkins University, 2019 | | 2019 |
| Very High Energy Ground Based Gamma Ray Telescopy Using TACTIC M Reddy, A Gupta, S Padhy, PR Hebbar arXiv preprint arXiv:1812.03429, 2018 | | 2018 |
| Learning Generative Models with Invariance to Symmetries JU Allingham, J Antoran, S Padhy, E Nalisnick, JM Hernández-Lobato NeurIPS 2022 Workshop on Symmetry and Geometry in Neural Representations, 0 | | |
Balaji LakshminarayananSenior Staff Research Scientist at Google BrainVerified email at google.com
