Resolution-independent generative models based on operator learning for physics-constrained Bayesian inverse problems
Xinchao Jiang, Xin Wang, Ziming Wen, Hu Wang, Hu Wang
Topics & Concepts
Markov chain Monte CarloComputer scienceBayesian inferenceInferencePrior probabilityMachine learningArtificial intelligenceBayesian probabilitySampling (signal processing)AlgorithmJoint probability distributionOperator (biology)Bayes' theoremMathematicsStatisticsGeneBiochemistryTranscription factorChemistryFilter (signal processing)RepressorComputer visionGaussian Processes and Bayesian InferenceGenerative Adversarial Networks and Image SynthesisModel Reduction and Neural Networks