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 …

Abstract We introduce" Class Symbolic Regression"(Class SR), the first framework for
automatically finding a single analytical functional form that accurately fits multiple data sets …

Symbolic regression (SR) is a powerful technique for discovering the underlying
mathematical expressions from observed data. Inspired by the success of deep learning …

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 …

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 …

Symbolic regression automatically searches for mathematical equations to reveal underlying
mechanisms within datasets, offering enhanced interpretability compared to black box …

Symbolic regression is a task aimed at identifying patterns in data and representing them
through mathematical expressions, generally involving skeleton prediction and constant …

Monte Carlo Tree Search and Monte Carlo Search have good results for many combinatorial
problems. In this paper we propose to use Monte Carlo Search to design mathematical …

Modeling kinetic equations is essential for understanding the mechanisms of chemical
reactions, yet a complex and time-consuming task. Kinetic equation prediction is formulated …