Dhruv Patel

According to our database, Dhruv Patel authored at least 9 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of five.

2024

Multi-fidelity Hamiltonian Monte Carlo.

Dhruv V. Patel, Jonghyun Lee, Matthew W. Farthing, Peter K. Kitanidis, Eric F. Darve

CoRR, 2024

2023

A dimension-reduced variational approach for solving physics-based inverse problems using generative adversarial network priors and normalizing flows.

Agnimitra Dasgupta, Dhruv V. Patel, Deep Ray, Erik A. Johnson, Assad A. Oberai

CoRR, 2023

2022

Probabilistic medical image imputation via deep adversarial learning.

Ragheb Raad, Dhruv Patel, Chiao-Chih Hsu, Vijay Kothapalli, Deep Ray, Bino A. Varghese, Darryl Hwang, Inderbir S. Gill, Vinay A. Duddalwar, Assad A. Oberai

Eng. Comput., 2022

Variationally Mimetic Operator Networks.

Dhruv Patel, Deep Ray, Michael R. A. Abdelmalik, Thomas J. R. Hughes, Assad A. Oberai

CoRR, 2022

The efficacy and generalizability of conditional GANs for posterior inference in physics-based inverse problems.

Deep Ray, Harisankar Ramaswamy, Dhruv V. Patel, Assad A. Oberai

CoRR, 2022

2021

GAN-Based Priors for Quantifying Uncertainty in Supervised Learning.

Dhruv V. Patel, Assad A. Oberai

SIAM/ASA J. Uncertain. Quantification, 2021

Solution of Physics-based Bayesian Inverse Problems with Deep Generative Priors.

Dhruv V. Patel, Deep Ray, Assad A. Oberai

CoRR, 2021

2020

GAN-based Priors for Quantifying Uncertainty.

Dhruv V. Patel, Assad A. Oberai

CoRR, 2020

2019

Bayesian Inference with Generative Adversarial Network Priors.

Dhruv Patel, Assad A. Oberai

CoRR, 2019