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Your Excel regression is probably a mess—here's how Python fixes it

Uncover the hidden pitfalls of Excel regression and learn why Python is the key to unlocking clean, efficient data analysis.
GitHub

tsinghua-fib-lab/ND2

This repository contains the code and data for the experiments in the paper "Discovering network dynamics with neural symbolic regression", published in Nature Computational Science (2025). Abstract: ...
IEEE

Index Tracking via Sparse Bayesian Regression and Collaborative Neurodynamic Optimization

Abstract: Index tracking is a primary passive investment strategy. Many existing methods, such as cardinality-constrained and regularized regressions, need to prespecify parameters to generate sparse ...
IEEE

Comparative Analysis of Accuracy For Predicting Earthquake Occurrence Using Linear Regression Over Poisson Regression

Abstract: In the context of earthquake prediction, the purpose of this study is to evaluate the accuracy of the Linear Regression Algorithm in comparison to Poisson regression. The linear regression ...
GitHub

FunctionEvolve: Structure-Guided Symbolic Regression with LLMs

FunctionEvolve is a neuro-symbolic evolutionary framework for scientific equation discovery. It combines LLM reasoning with an explicit abstract-syntax-tree (AST) search: domain-informed seeds and ...