Следене
Shreyas Padhy
Shreyas Padhy
Google Brain, Cambridge
Потвърден имейл адрес: google.com - Начална страница
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Позовавания
Година
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
1002020
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
502020
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
322019
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
182021
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
182021
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
172017
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
152020
Analyzing shape and residual pose of subcortical structures in brains of subjects with schizophrenia
S Padhy
Johns Hopkins University, 2019
12019
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, ...
arXiv preprint arXiv:2205.00403, 2022
2022
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
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