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Improving Sampling and Function Approximation in Machine Learning Methods for Solving Partial Differential Equations
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Applications of Closed-loop Control in Biomedical Interventions: From Neural Modulation to Diabetes Management
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Automatic Hyperparameter Tuning in Physics-Based Distortion Correction for Diffusion Tensor Imaging
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Modified Functional Principal Component Regression
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Estimating Population Parameters of Fatal Police Shootings in America
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Reinforcement Learning with Manifold Optimization
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Parameter Tuning for SIR-Related Models With Variational and Bayesian Methods
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By Virtue Or By Vote: Modeling Impacts of State Accountability and Regime Type on Crisis Responses
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Mathematical modeling and simulation of coronary stents
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Generalized Quantile Random Forest with Smoothed Estimating Equations
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