Metasymnet: A dynamic symbolic regression network capable of evolving into arbitrary formulations

MMSR: Symbolic regression is a multi-modal information fusion task

Y Li, J Liu, M Wu, L Yu, W Li, X Ning, W Li, M Hao… - Information …, 2025 - Elsevier
Mathematical formulas are the crystallization of human wisdom in exploring the laws of
nature for thousands of years. Describing the complex laws of nature with a concise …
被引用次数：3 相关文章 所有 2 个版本
[PDF] arxiv.org

MLLM-SR: Conversational Symbolic Regression base Multi-Modal Large Language Models

Y Li, W Li, L Yu, M Wu, J Liu, W Li, S Wei… - arXiv preprint arXiv …, 2024 - arxiv.org
Formulas are the language of communication between humans and nature. It is an important
research topic of artificial intelligence to find expressions from observed data to reflect the …
被引用次数：2 相关文章 所有 2 个版本
[PDF] arxiv.org

Generative Pre-Trained Transformer for Symbolic Regression Base In-Context Reinforcement Learning

Y Li, W Li, L Yu, M Wu, J Liu, W Li, M Hao, S Wei… - arXiv preprint arXiv …, 2024 - arxiv.org
The mathematical formula is the human language to describe nature and is the essence of
scientific research. Finding mathematical formulas from observational data is a major …
被引用次数：1 相关文章 所有 2 个版本
[PDF] arxiv.org

A Comparison of Recent Algorithms for Symbolic Regression to Genetic Programming

YA Radwan, G Kronberger, S Winkler - arXiv preprint arXiv:2406.03585, 2024 - arxiv.org
Symbolic regression is a machine learning method with the goal to produce interpretable
results. Unlike other machine learning methods such as, eg random forests or neural …
被引用次数：1 相关文章 所有 2 个版本