AINeutralarXiv – CS AI · 6h ago6/10
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Learning-Guided Integration Contours Construction for Fast Large-Scale Generalized Eigensolvers
Researchers introduce Deepcontour, a hybrid framework combining deep learning and classical numerical methods to accelerate solutions for large-scale Generalized Eigenvalue Problems. The system achieves up to 5.63x speedup by using a neural operator to predict eigenvalue distributions and automatically optimize integration contours for contour integral solvers.