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Yuanzhe Xi, Emory University
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Resultados da Busca
Kernel and Lengthscale Selection on the Performance of the Sparse Cholesky Factorizati...
Reducing Operator Complexity in Algebraic Multigrid with Machine Learning Approaches
Efficient Preconditioner for Covariance Matrices Using Geometric Information
Improving Multigrid Methods with Deep Neural Networks
Generating Graphs with Deep Learning and Graph Theory
Physics-informed Deep Neural Networks for High Dimensional Integration
Optimal Control Approaches for Designing Neural Ordinary Differential Equations
Fast Gaussian Process Solver
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Year
Spring 2022
3
Spring 2021
2
Spring 2020
1
Spring 2023
1
Spring 2024
1
School
Emory College
5
Laney Graduate School
3
Department / Specialty
Mathematics
7
Computer Science and Informatics
1
Degree
B.S.
5
Ph.D.
3
Submission Type
Honors Thesis
5
Dissertation
3
Research Field
Applied Mathematics
5
Mathematics
5
Computer Science
4
Statistics
1
Committee
Yuanzhe Xi, Emory University
8
Lars Ruthotto, Emory University
4
James G. Nagy, Emory University
3
Alessandro Veneziani, Emory University
1
Benjamin Miller, Emory University
1
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Committees
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Keyword
Deep Learning
2
Gaussian Process
2
Iterative Methods
2
Machine Learning
2
Algebraic Multigrid Methods
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