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Lars Ruthotto, Emory University
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Applications of Closed-loop Control in Biomedical Interventions: From Neural Modulatio...
Reinforcement Learning with Manifold Optimization
Randomized Sketching for Data Fitting
Conditional Sampling and Density Estimation with Triangular Convex Flows
Reducing Operator Complexity in Algebraic Multigrid with Machine Learning Approaches
Efficient Training of Input Convex Neural Networks Using Variable Projection
Low-Rank Exploiting Optimization Methods for Inverse Problems and Machine Learning
Pre-Training Graph Neural Networks for Data-Efficient Brain Network Analysis
The Applications of Alternating Minimization Algorithms on Deep Learning Models
Linear Programming Approach for Q-Learning
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Year
Spring 2022
7
Spring 2023
4
Spring 2019
3
Spring 2024
3
Spring 2021
2
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School
Emory College
12
Laney Graduate School
9
Department
Mathematics
17
Computer Science and Informatics
3
Computer Science
1
Degree
B.S.
12
Ph.D.
9
Submission Type
Honors Thesis
12
Dissertation
9
Research Field
Mathematics
13
Applied Mathematics
11
Computer Science
10
Artificial Intelligence
2
Geophysics
1
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Committee
Lars Ruthotto, Emory University
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21
James Nagy, Emory University
6
Yuanzhe Xi, Emory University
6
Carl Yang, Emory University
3
Elizabeth Newman, Emory University
3
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Keyword
Machine Learning
6
Optimization
3
Reinforcement Learning
3
Inverse Problems
2
Multigrid
2
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