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U. Ravikumar

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#machine learning Preprint Sep 2026

Neural Symbollic Regression Using Deep Learning and Sparse Modelling

A scalable and understandable neural-symbolic framework that treats neural networks as functional preconditioners for symbolic discovery, creating a solid link between neural approximation and the discovery of sparse equations for scientific machine learning.

U. Ravikumar, S. Sumitra · 0 citations

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