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Yuanzhe Xi, Emory University
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Resultados da Busca
Learning Structured Knowledge from Real-World Data without Excessive Annotations
Kernel and Lengthscale Selection on the Performance of the Sparse Cholesky Factorizati...
Mathematical modeling and simulation of coronary stents
Low Precision Preconditioning for Iterated Tikhonov Regularization
Reducing Operator Complexity in Algebraic Multigrid with Machine Learning Approaches
Low-Rank Exploiting Optimization Methods for Inverse Problems and Machine Learning
Efficient Preconditioner for Covariance Matrices Using Geometric Information
Improving Multigrid Methods with Deep Neural Networks
Large Scale Inverse Problems: Low-Rank Approximations and Optimization
Generating Graphs with Deep Learning and Graph Theory
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Year
Spring 2021
5
Spring 2022
5
Spring 2019
3
Spring 2023
2
Spring 2024
2
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Years
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School
Emory College
13
Laney Graduate School
7
Department
Mathematics
16
Computer Science
2
Computer Science and Informatics
2
Degree
B.S.
13
Ph.D.
7
Submission Type
Honors Thesis
13
Dissertation
7
Research Field
Mathematics
10
Applied Mathematics
9
Computer Science
7
Statistics
2
Artificial Intelligence
1
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Research Fields
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Committee
Yuanzhe Xi, Emory University
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20
James Nagy, Emory University
7
Lars Ruthotto, Emory University
6
James G. Nagy, Emory University
4
Alessandro Veneziani, Emory University
2
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Committees
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Keyword
Machine Learning
3
Deep Learning
2
Gaussian Process
2
Inverse Problems
2
Iterative Methods
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Keywords
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