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Reducing Operator Complexity in Algebraic Multigrid with Machine Learning Approaches
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Semiparametric Efficient Designs with Staggered Rollouts
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Efficient Training of Input Convex Neural Networks Using Variable Projection
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An Analysis of Sampling Methods and Uncertainty Propagation for Shallow Water Modeling
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Modeling the COVID-19 Pandemic: A Model-Driven and a Data-Driven Analyses
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Linear Programming Approach for Q-Learning
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Representation Theory of Finite Groups and its Applications
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Regularization of ill-posed inverse problems under mixed precision arithmetics
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Nonnegative Matrix Factorization for Music - Tuning the NMF Algorithm with Regularization
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The Wave Equation and the Timpani: An Exploration into Various Models for the Vibration of a Timpani Drumhead
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