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Low Precision Preconditioning for Iterated Tikhonov Regularization
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Reducing Operator Complexity in Algebraic Multigrid with Machine Learning Approaches
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Efficient Preconditioner for Covariance Matrices Using Geometric Information
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Protocol Amendments and Probability of Success in Clinical Trials
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Analysis of Deep Learning-based Speech and Text Models for Early Detection of Alzheimer’s Disease
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Accelerated Alternating Minimization for X-ray Tomographic Reconstruction
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Physics-informed Deep Neural Networks for High Dimensional Integration
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Domain-Independent Sports Match Prediction using Dynamically Updated Database
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Fast Gaussian Process Solver
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Smart Initialization for Smooth and Sparse Tensor Factorization
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Edge Detection and Enriched Subspaces
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Region of Interest Image Reconstruction using IR Tools
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