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cs.LG2026
Fast Amortized Fitting of Scientific Signals Across Time and Ensembles via Transferable Neural Fields
Sophia Zorek, Kushal Vyas, Yuhao Liu +3
Neural fields, also known as implicit neural representations (INRs), offer a powerful framework for modeling continuous geometry, but their effectiveness in high-dimensional scient…
cs.LG2025
Extracting Complex Topology from Multivariate Functional Approximation: Contours, Jacobi Sets, and Ridge-Valley Graphs
Guanqun Ma, David Lenz, Hanqi Guo +2
Implicit continuous models, such as functional models and implicit neural networks, are an increasingly popular method for replacing discrete data representations with continuous,…