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A Geometry-Aware Data-Driven Framework for Predictive Modeling and PDE Operators
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Robust Uncertainty Quantification for Foundation Models: Bayesian and Frequentist Approaches for High-Stakes Applications
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Modeling and Predicting Storm Surges Using Machine Learning Methods
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Analysis of a State Machine-based Interactive Dialogue Management System
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Reduced Models and Parallel Computing for Uncertainty Quantification in Cardiovascular Mathematics
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Some Mathematical Problems in Design of Free-Form Mirrors and
Lenses
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Reliable direct and inverse methods in computational hemodynamics
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Assimilation of velocity data into fluid dynamic simulations,
an application to computational hemodynamics
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Clogging of Soft Particles in a 2D Hopper
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Primality Testing and Integer Factorization Using Elliptic Curves
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