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Incentives for Digital Monitoring: A Privacy Model
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There are 27 Lines on a Smooth Cubic Surface
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A Geometry-Aware Data-Driven Framework for Predictive Modeling and PDE Operators
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AI-driven Models with Effective Feature Selection Accurately Predict ICU Admission after Laparoscopic Cholecystectomy
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Compression of Tensor Train Cores via Tucker Decomposition, and Applications to the Density Matrix Renormalization Group
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On the Choice of Subspace for the Quasi-minimal Residual Method for Linear Inverse Problems
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Inexact Generalized Golub-Kahan Methods for Large-Scale Inverse Problems
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Inner Product Free Krylov Methods for Inverse Problems
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Robust Uncertainty Quantification for Foundation Models: Bayesian and Frequentist Approaches for High-Stakes Applications
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Optimal Transportation: A Comprehensive Review and Novel Approaches
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