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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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On Pisier type problems
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Low-Rank Exploiting Optimization Methods for Inverse Problems and Machine Learning
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Modeling the COVID-19 Pandemic: A Model-Driven and a Data-Driven Analyses
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In-silico analysis of the novel Caenorhabditis elegans tropomyosin with poor actin affinity
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A local-global principle for adjoint groups over function fields of p-adic curves
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Local-global principles for hermitian spaces over semi-global fields
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