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New Neural Symbolic Regression framework combines deep learning with sparse modeling

By PulseAugur Editorial · [2 sources] ·

Researchers have developed a new Neural Symbolic Regression (NSR) framework that combines neural networks with sparse modeling techniques to discover succinct mathematical expressions from data. This approach first uses a neural network to learn a robust function approximation in a non-linear feature space, followed by LASSO to extract sparse, interpretable equations. Experiments on the Nguyen benchmark suite demonstrate that NSR outperforms traditional methods like Genetic Programming and SINDy in terms of Root Mean Square Error, noise robustness, and generalization. AI

IMPACT This framework could enhance the interpretability of machine learning models in scientific discovery.

RANK_REASON The cluster describes a new research paper detailing a novel framework for symbolic regression.

Read on arXiv cs.NE (Neural & Evolutionary) →

AI-generated summary · Google Gemini · from 2 sources. How we write summaries →

New Neural Symbolic Regression framework combines deep learning with sparse modeling

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The cluster describes a new research paper detailing a novel framework for symbolic regression.
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COVERAGE [2]

  1. arXiv cs.LG TIER_1 English(EN) · Ravi Kumar U, Sumitra S ·

    Neural Symbollic Regression Using Deep Learning and Sparse Modelling

    arXiv:2609.01102v1 Announce Type: new Abstract: Symbolic Regression (SR) seeks to find succinct mathematical expressions that represent the fundamental relationships within data, providing interpretability and scientific understanding that exceeds that of black-box models. Nevert…

  2. arXiv cs.NE (Neural & Evolutionary) TIER_1 English(EN) · Sumitra S ·

    Neural Symbollic Regression Using Deep Learning and Sparse Modelling

    Symbolic Regression (SR) seeks to find succinct mathematical expressions that represent the fundamental relationships within data, providing interpretability and scientific understanding that exceeds that of black-box models. Nevertheless, traditional methods like Genetic Program…

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