Abstract: This talk explores the path toward foundation models for scientific computing, focusing on learning solution operators for parametric partial differential equations (PDEs). The core of the presentation showcases our […]

In this talk, we present a few ideas based on algebraic techniques (invariant theory, Galois theory, and representation stability) to analyze existing machine learning models and design new ones. In […]

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