Παρακολούθηση
Dhruv Patel
Dhruv Patel
Postdoctoral fellow, Stanford
Η διεύθυνση ηλεκτρονικού ταχυδρομείου έχει επαληθευτεί στον τομέα stanford.edu - Αρχική σελίδα
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Παρατίθεται από
Παρατίθεται από
Έτος
Machine learning based predictors for COVID-19 disease severity
D Patel, V Kher, B Desai, X Lei, S Cen, N Nanda, A Gholamrezanezhad, ...
Scientific Reports 11 (1), 4673, 2021
702021
Circumventing the solution of inverse problems in mechanics through deep learning: Application to elasticity imaging
D Patel, R Tibrewala, A Vega, L Dong, N Hugenberg, AA Oberai
Computer Methods in Applied Mechanics and Engineering 353, 448-466, 2019
352019
Solution of physics-based Bayesian inverse problems with deep generative priors
DV Patel, D Ray, AA Oberai
Computer Methods in Applied Mechanics and Engineering 400, 115428, 2022
252022
Bayesian inference with generative adversarial network priors
D Patel, AA Oberai
arXiv preprint arXiv:1907.09987, 2019
222019
GAN-Based Priors for Quantifying Uncertainty in Supervised Learning
DV Patel, AA Oberai
SIAM/ASA Journal on Uncertainty Quantification 9 (3), 1314-1343, 2021
162021
The efficacy and generalizability of conditional GANs for posterior inference in physics-based inverse problems
D Ray, H Ramaswamy, DV Patel, AA Oberai
arXiv preprint arXiv:2202.07773, 2022
152022
Variationally mimetic operator networks
D Patel, D Ray, MRA Abdelmalik, TJR Hughes, AA Oberai
Computer Methods in Applied Mechanics and Engineering 419, 116536, 2024
122024
Deep learning-based detection, classification, and localization of defects in semiconductor processes
DV Patel, R Bonam, AA Oberai
Journal of Micro/nanolithography, MEMS, and MOEMS 19 (2), 024801-024801, 2020
122020
Engineering neural networks for improved defect detection and classification
D Patel, R Bonam, AA Oberai
Metrology, Inspection, and Process Control for Microlithography XXXIII 10959 …, 2019
82019
GAN-based Priors for Quantifying Uncertainty
DV Patel, AA Oberai
arXiv preprint arXiv:2003.12597, 2020
62020
Bayesian Inference in Physics-Driven Problems with Adversarial Priors
DV Patel, D Ray, H Ramaswamy, A Oberai
NeurIPS 2020 Workshop on Deep Learning and Inverse Problems, 2020
42020
Probabilistic medical image imputation via deep adversarial learning
R Raad, D Patel, CC Hsu, V Kothapalli, D Ray, B Varghese, D Hwang, ...
Engineering with Computers 38 (5), 3975-3986, 2022
32022
A dimension-reduced variational approach for solving physics-based inverse problems using generative adversarial network priors and normalizing flows
A Dasgupta, DV Patel, D Ray, EA Johnson, AA Oberai
Computer Methods in Applied Mechanics and Engineering 420, 116682, 2024
12024
Efficient posterior inference & generalization in physics-based Bayesian inference with conditional GANs
D Ray, DV Patel, H Ramaswamy, A Oberai
NeurIPS 2021 Workshop on Deep Learning and Inverse Problems, 2021
12021
Quantifying uncertainty with GAN-based priors
DV Patel, AA Oberai
12019
Overcoming Challenges of Practical Bayesian Inference: Black-box Forward Models meet Black-box Variational Inference
D Patel, JH Lee, M Farthing, T Hesser, PK Kitanidis, EF Darve
AGU23, 2023
2023
Improved Black-box Variational Inference for High-dimensional Bayesian Inversion involving Black-box Simulators
DV Patel, JH Lee, M Farthing, T Hesser, P Kitanidis, E Darve
NeurIPS 2023 Workshop on Deep Learning and Inverse Problems, 2023
2023
MP56-19 MACHINE LEARNING FRAMEWORK-BASED PROGNOSTIC CLASSIFIER FOR PREDICTING RECURRENCE-FREE SURVIVAL IN PATIENTS UNDERGOING RADICAL CYSTECTOMY FOR UROTHELIAL BLADDER CANCER
G Cacciamani, Y Xue, U Durairaj, S Roberts, D Patel, R Raad, G Miranda, ...
The Journal of Urology 209 (Supplement 4), e782, 2023
2023
GAN-Flow: A dimension-reduced variational framework for physics-based inverse problems
A Dasgupta, DV Patel, D Ray, EA Johnson, AA Oberai
NeurIPS 2020 Workshop on Machine Learning and the Physical Sciences, 2022
2022
Efficient Stochastic Subsurface Inversion using Deep Generative Modeling and Multi-fidelity Importance Sampling
D Patel, M Forghani, J Lee, M Farthing, T Hesser, P Kitanidis, E Darve
AGU Fall Meeting Abstracts 2021, H12E-06, 2021
2021
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