research
          
      
      ∙
      02/15/2022
    The efficacy and generalizability of conditional GANs for posterior inference in physics-based inverse problems
In this work, we train conditional Wasserstein generative adversarial ne...
          
            research
          
      
      ∙
      07/06/2021
    Solution of Physics-based Bayesian Inverse Problems with Deep Generative Priors
Inverse problems are notoriously difficult to solve because they can hav...
          
            research
          
      
      ∙
      03/27/2020