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A Geometry-Aware Data-Driven Framework for Predictive Modeling and PDE Operators
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Improving Sampling and Function Approximation in Machine Learning Methods for Solving Partial Differential Equations
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Reinforcement Learning with Manifold Optimization
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Reducing Operator Complexity in Algebraic Multigrid with Machine Learning Approaches
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Low-Rank Exploiting Optimization Methods for Inverse Problems and Machine Learning
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Deep Learning for EHR-Based Diagnosis Prediction: A General Recipe
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Fast Gaussian Process Solver
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Multiresolution Methods for Convolutional Neural Networks
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