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Inverse problem application in the field of biomedical image reconstruction
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Generalized Quantile Random Forest with Smoothed Estimating Equations
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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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Recursive Phase Estimation with Applications to Heartbeat Processing
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Protocol Amendments and Probability of Success in Clinical Trials
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Physics-informed Deep Neural Networks for High Dimensional Integration
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Predicting Baseball Player Performance with OLS Regression and Out-of-Sample Forecasting
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Statistical Assessment of the Impact of Coronary Geometry on their
Functionality
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