2 papers
cs.LG2026
Quantitative Sobolev Approximation Bounds for Neural Operators with Empirical Validation on Burgers Equation
Nicole Hao
Neural operators have emerged as a powerful tool for learning mappings between infinite-dimensional function spaces. However, their approximation properties in Sobolev norms remain…
astro-ph.SR2024
Detecting and Classifying Flares in High-Resolution Solar Spectra with Supervised Machine Learning
Nicole Hao, Laura Flagg, Ray Jayawardhana
Flares are a well-studied aspect of the Sun's magnetic activity. Detecting and classifying solar flares can inform the analysis of contamination caused by stellar flares in exoplan…