Index Catalog // Emory Theses and Dissertations

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Reducing Operator Complexity in Algebraic Multigrid with Machine Learning Approaches

Semiparametric Efficient Designs with Staggered Rollouts

Efficient Training of Input Convex Neural Networks Using Variable Projection

An Analysis of Sampling Methods and Uncertainty Propagation for Shallow Water Modeling

On Pisier type problems

Low-Rank Exploiting Optimization Methods for Inverse Problems and Machine Learning

Modeling the COVID-19 Pandemic: A Model-Driven and a Data-Driven Analyses

A local-global principle for adjoint groups over function fields of p-adic curves

The Applications of Alternating Minimization Algorithms on Deep Learning Models

Local-global principles for hermitian spaces over semi-global fields

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