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Inverse Problems
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Low-Rank Exploiting Optimization Methods for Inverse Problems and Machine Learning
Large Scale Inverse Problems: Low-Rank Approximations and Optimization
Matrix Computations and Optimization for Spectral Computed Tomography
Assimilation of velocity data into fluid dynamic simulations, an application to computa...
Generalized Cross Validation for Ill-Posed Inverse Problems
Large-Scale Inverse Problems in Imaging: Two Case Studies
Line-to-Point Registration with Applications in Geometric Reconstruction of Coronary S...
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Laney Graduate School
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Nagy, James, Emory University
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Benzi, Michele, Emory University
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James Nagy, Emory University
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Lars Ruthotto, Emory University
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Veneziani, Alessandro, Emory University
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