most citedSolution of physics-based inverse problems using conditional generative adversarial networks with full gradient penalty

3 citations · 3 across the 2 of their papers we have counts for

collaborators

2 papers

cs.CE2023

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 +2

We propose a novel modular inference approach combining two different generative models -- generative adversarial networks (GAN) and normalizing flows -- to approximate the posteri…

stat.ML2023★ 3 cited

Solution of physics-based inverse problems using conditional generative adversarial networks with full gradient penalty

Deep Ray, Javier Murgoitio-Esandi, Agnimitra Dasgupta +1

The solution of probabilistic inverse problems for which the corresponding forward problem is constrained by physical principles is challenging. This is especially true if the dime…