| 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 | 91 | 2021 |
| 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 | 46 | 2022 |
| 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 | 42 | 2019 |
| Variationally mimetic operator networks D Patel, D Ray, MRA Abdelmalik, TJR Hughes, AA Oberai Computer Methods in Applied Mechanics and Engineering 419, 116536, 2024 | 31 | 2024 |
| Bayesian inference with generative adversarial network priors D Patel, AA Oberai arXiv preprint arXiv:1907.09987, 2019 | 27 | 2019 |
| GAN-Based Priors for Quantifying Uncertainty in Supervised Learning DV Patel, AA Oberai SIAM/ASA Journal on Uncertainty Quantification 9 (3), 1314-1343, 2021 | 25 | 2021 |
| 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 | 24 | 2022 |
| 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 | 19 | 2020 |
| 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 | 10 | 2019 |
| 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 | 8 | 2024 |
| 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 | 7 | 2020 |
| GAN-based Priors for Quantifying Uncertainty DV Patel, AA Oberai arXiv preprint arXiv:2003.12597, 2020 | 6 | 2020 |
| 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 | 4 | 2022 |
| Quantifying uncertainty with GAN-based priors DV Patel, AA Oberai | 1 | 2019 |
| 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, 0 | 1 | |
| 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, 0 | 1 | |
| Bayesian Inference in Geomechanics DV PATEL, JH LEE, PK KITANIDIS, EF DARVE Machine Learning in Geomechanics 2: Data‐Driven Modeling, Bayesian Inference …, 2024 | | 2024 |
| Multi-fidelity Hamiltonian Monte Carlo DV Patel, J Lee, MW Farthing, PK Kitanidis, EF Darve arXiv preprint arXiv:2405.05033, 2024 | | 2024 |
| 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 AGU Fall Meeting Abstracts 2023, H31I-06, 2023 | | 2023 |
| VarMiON: Variationally Mimetic Operator Network D Ray, D Patel, M Abdelmalik, A Oberai, T Hughes 2024 Spring Southeastern Sectional Meeting, 2023 | | 2023 |
