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cs.LG2025
Spectral Analysis of Molecular Features: When Richer Features Do Not Guarantee Better Generalization
Asma Jamali, Tin Sum Cheng, Rodrigo A. Vargas-Hernández
The spectral properties of feature embeddings offer critical insights into model generalization and representation quality. While deep learning models are widely used for molecular…
cs.LG2025
Meta-Learning Fourier Neural Operators for Hessian Inversion and Enhanced Variational Data Assimilation
Hamidreza Moazzami, Asma Jamali, Nicholas Kevlahan +1
Data assimilation (DA) is crucial for enhancing solutions to partial differential equations (PDEs), such as those in numerical weather prediction, by optimizing initial conditions…