#genetic-programming News & Analysis

2 articles tagged with #genetic-programming. AI-curated summaries with sentiment analysis and key takeaways from 50+ sources.

2 articles

AINeutralarXiv – CS AI · Apr 146/10

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Teaching the Teacher: The Role of Teacher-Student Smoothness Alignment in Genetic Programming-based Symbolic Distillation

Researchers propose a novel framework for improving symbolic distillation of neural networks by regularizing teacher models for functional smoothness using Jacobian and Lipschitz penalties. This approach addresses the core challenge that standard neural networks learn complex, irregular functions while symbolic regression models prioritize simplicity, resulting in poor knowledge transfer. Results across 20 datasets demonstrate statistically significant improvements in predictive accuracy for distilled symbolic models.

AINeutralarXiv – CS AI · Mar 54/10

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Physics-constrained symbolic regression for discovering closed-form equations of multimodal water retention curves from experimental data

Researchers developed a physics-constrained machine learning framework that uses genetic programming to automatically discover closed-form mathematical equations for modeling water retention in porous materials with complex pore structures. The approach represents mathematical expressions as binary trees and incorporates physical constraints to ensure scientifically valid solutions.