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04/04/2023
High-resolution tomographic reconstruction of optical absorbance through scattering media using neural fields
Light scattering imposes a major obstacle for imaging objects seated dee...
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06/14/2022
Hybrid Projection Methods for Solution Decomposition in Large-scale Bayesian Inverse Problems
We develop hybrid projection methods for computing solutions to large-sc...
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11/25/2021
Model Reduction of Linear Dynamical Systems via Balancing for Bayesian Inference
We consider the Bayesian approach to the linear Gaussian inference probl...
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04/15/2021
Learn an index operator by CNN for solving diffusive optical tomography: a deep direct sampling method
In this work, we investigate the diffusive optical tomography (DOT) prob...
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03/31/2021
Low-CP-rank Tensor Completion via Practical Regularization
Dimension reduction techniques are often used when the high-dimensional ...
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09/17/2020
Construct Deep Neural Networks Based on Direct Sampling Methods for Solving Electrical Impedance Tomography
This work investigates the electrical impedance tomography (EIT) problem...
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07/01/2020
Hybrid Projection Methods with Recycling for Inverse Problems
Iterative hybrid projection methods have proven to be very effective for...
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03/30/2020
Hybrid Projection Methods for Large-scale Inverse Problems with Mixed Gaussian Priors
When solving ill-posed inverse problems, a good choice of the prior is c...
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11/06/2019