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Mathematics
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Conditional Sampling and Density Estimation with Triangular Convex Flows
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
In-silico analysis of the novel Caenorhabditis elegans tropomyosin with poor actin aff...
A local-global principle for adjoint groups over function fields of p-adic curves
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Emory College
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Laney Graduate School
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Lars Ruthotto, Emory University
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Yuanzhe Xi, Emory University
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James Nagy, Emory University
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