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Reducing Operator Complexity in Algebraic Multigrid with Machine Learning Approaches
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Fast Gaussian Process Solver
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Image Deblurring using Radial Basis functions for Interpolating Weights of Spatially Variant Blur
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Generating Graphs with Deep Learning and Graph Theory
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Deep Learning for EHR-Based Diagnosis Prediction: A General Recipe
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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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NLP Rankings: Publication-based Ranking System and Platform for NLP Research
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Differential Equation Interpretation of Deep Neural Networks
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Fair Clustering Problems
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Large-Scale Parameter Estimation in Geophysics and Machine Learning
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Reduced Models and Parallel Computing for Uncertainty Quantification in Cardiovascular Mathematics
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Smoothing Tensor Factorization on Spatio-Temporal Data
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Smart Initialization for Smooth and Sparse Tensor Factorization
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Multiresolution Methods for Convolutional Neural Networks
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Cryptanalysis of Small-Valued Secret Exponents in RSA Cryptosystems
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