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11/30/2022
Statistical treatment of convolutional neural network super-resolution of inland surface wind for subgrid-scale variability quantification
Machine learning models are frequently employed to perform either purely...
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08/24/2022
Flash-X, a multiphysics simulation software instrument
Flash-X is a highly composable multiphysics software system that can be ...
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07/29/2021
Neural Networks for Parameter Estimation in Intractable Models
We propose to use deep learning to estimate parameters in statistical mo...
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12/12/2020
Parameter Estimation with Dense and Convolutional Neural Networks Applied to the FitzHugh-Nagumo ODE
Machine learning algorithms have been successfully used to approximate n...
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03/24/2020
