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

3 citations · 3 across the 1 of their papers we have counts for

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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…