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12/23/2022
Hyper-differential sensitivity analysis in the context of Bayesian inference applied to ice-sheet problems
Inverse problems constrained by partial differential equations (PDEs) pl...
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10/17/2022
Hyper-differential sensitivity analysis with respect to model discrepancy: Calibration and optimal solution updating
Optimization constrained by computational models is common across scienc...
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10/17/2022
Hyper-differential sensitivity analysis with respect to model discrepancy: Mathematics and computation
Model discrepancy, defined as the difference between model predictions a...
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08/18/2022
Estimating and using information in inverse problems
For inverse problems one attempts to infer spatially variable functions ...
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02/04/2022
Hyper-differential sensitivity analysis for nonlinear Bayesian inverse problems
We consider hyper-differential sensitivity analysis (HDSA) of nonlinear ...
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06/22/2021
Enabling and interpreting hyper-differential sensitivity analysis for Bayesian inverse problems
Inverse problems constrained by partial differential equations (PDEs) pl...
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07/26/2020
Train Like a (Var)Pro: Efficient Training of Neural Networks with Variable Projection
Deep neural networks (DNNs) have achieved state-of-the-art performance a...
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02/07/2020
