31 citations · 32 across the 5 of their papers we have counts for
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math.NA2023
An autoencoder compression approach for accelerating large-scale inverse problems
Jonathan Wittmer, Jacob Badger, Hari Sundar +1
PDE-constrained inverse problems are some of the most challenging and computationally demanding problems in computational science today. Fine meshes that are required to accurately…
math.NA2023★ 1 cited
On Unifying Randomized Methods For Inverse Problems
Jonathan Wittmer, C. G. Krishnanunni, Hai V. Nguyen +1
This work unifies the analysis of various randomized methods for solving linear and nonlinear inverse problems by framing the problem in a stochastic optimization setting. By doing…