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James G. Nagy, Emory University
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Reducing Operator Complexity in Algebraic Multigrid with Machine Learning Approaches
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Efficient Preconditioner for Covariance Matrices Using Geometric Information
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Optimal Control Approaches for Designing Neural Ordinary Differential Equations
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Smart Initialization for Smooth and Sparse Tensor Factorization
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Year
Spring 2019
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Spring 2021
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School
Emory College
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Laney Graduate School
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Department / Specialty
Mathematics
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Computer Science and Informatics
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Honors Thesis
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Applied Mathematics
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Computer Science
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Committee
James G. Nagy, Emory University
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Yuanzhe Xi, Emory University
4
Joyce C. Ho, Emory University
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Lars Ruthotto, Emory University
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Daniel Weissman, Emory University
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Iterative Methods
2
Algebraic Multigrid Methods
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CP decomposition
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Deep Learning
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Gaussian Process
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