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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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Explainable Radio-Pathomic Model for Classifying Molecular Subtypes of Adult Gliomas
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Comparing Manifold-Constrained Gaussian Processes and Physics-Inspired Neural Networks for Parameter Inference in Epidemiological Models
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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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Pixels, Priors, and Precision: Bayesian Approaches to Image Reconstruction
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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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