JinlongAug 131 minData-Driven Stochastic Closure Modeling via Conditional Diffusion Model and Neural Operator
JinlongAug 131 minConditional Gaussian Neural Stochastic Differential Equation for Modeling Complex Systems and Data Assimilation
JinlongAug 131 minNeural Dynamical Operator with Gradient-Based and Derivative-Free Optimization Methods
JinlongOct 29, 20212 minEpidemic Management and Control Through Risk-Dependent Individual Contact Interventions
JinlongOct 29, 20211 minEnsemble Kalman Inversion for Sparse Learning of Dynamical Systems from Time-Averaged Data
JinlongOct 29, 20212 minEnforcing statistical constraints in generative adversarial networks for modeling chaotic dynamical
JinlongNov 8, 20181 minPhysics-informed machine learning approach for reconstructing Reynolds stress modeling discrepancies
JinlongNov 8, 20182 minQuantifying and reducing model-form uncertainties in Reynolds-averaged Navier–Stokes simulations
JinlongNov 2, 20181 minSeeing permeability from images: fast prediction with convolutional neural networks