Solving inverse problems in stochastic models using deep neural networks and adversarial training
Kailai Xu, Eric Darve
Topics & Concepts
Discriminative modelComputer scienceArtificial neural networkMarkov chain Monte CarloLeverage (statistics)Mathematical optimizationInverse problemMonte Carlo methodMatching (statistics)Stochastic neural networkProbability distributionInverseApplied mathematicsArtificial intelligenceAlgorithmMachine learningMathematicsRecurrent neural networkStatisticsBayesian probabilityMathematical analysisGeometryGaussian Processes and Bayesian InferenceProbabilistic and Robust Engineering DesignModel Reduction and Neural Networks