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Improving Multigrid Methods with Deep Neural Networks
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Large Scale Inverse Problems: Low-Rank Approximations and Optimization
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Recursive Phase Estimation with Applications to Heartbeat Processing
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Accelerated Alternating Minimization for X-ray Tomographic Reconstruction
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Fair Clustering Problems
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Estimating and Predicting the Effect of Quarantine in the COVID-19 Pandemic: Using a Modified SEIR Model
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Optimal Control Approaches for Designing Neural Ordinary Differential Equations
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Predicting Baseball Player Performance with OLS Regression and Out-of-Sample Forecasting
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Fast Gaussian Process Solver
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Nonparametric Regression for Assessing Time-Varying Effects in Survival Analysis
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