This project introduces a diffusion-based framework for symbolic regression, a task traditionally dominated by genetic programming and transformer models. We explore three distinct modeling approaches ...

[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 ...

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 ...

Large language models (LLMs) have demonstrated the ability to generate generic computer programs, providing an understanding of program structure. However, it is challenging to find the true ...

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 ...