Parametric Symbolic Regression (PSR) is a Python package that evolves symbolic expressions whose parameters can be optimized (e.g. with curve_fit or minimize). It combines genetic-programming style ...

[ICLR 2025 Oral] This is the official repo for the paper "LLM-SR" on Scientific Equation Discovery and Symbolic Regression with Large Language Models A GPU-accelerated library for Tree-based Genetic ...

Not long ago, it was fashionable to deride Artificial Intelligence (AI) as merely another example of Natural Stupidity. Recent technical advancements have made the sentiment unpalatable. No one wants ...

Astral's uv utility simplifies and speeds up working with Python virtual environments. But it has some other superpowers, too: it lets you run Python packages and programs without having to formally ...

Grok the faster interpreter in Python 3.14, learn what’s new in Python packages and PyPI, explore the new Python-to-C features in Cython 3.1, and seize the power of Python’s abstract base classes. In ...

Abstract: This study proposes a method for solving unsolved mathematical games using symbolic regression libraries. We aimed to demonstrate the effectiveness of genetic programming in mathematics in ...

Abstract: Dynamic symbolic execution is an important automated testing technique. Firstly, we introduce the traditional symbolic execution and dynamic symbolic execution technology, and then review ...

Symbolic regression is an advanced computational method to find mathematical equations that best explain a dataset. Unlike traditional regression, which fits data to predefined models, symbolic ...

The development of concrete with excellent water and frost resistance providing high level of sound and thermal insulation has triggered the formulation of foamed concrete. However, multiple ...