Symbolic Regression Comparison Hub

4 papers - avg viability 5.3

Reference Surfaces

Beyond Error-Based Optimization: Experience-Driven Symbolic Regression with Goal-Conditioned Reinforcement Learning(7.0)
A novel framework for symbolic regression using goal-conditioned reinforcement learning to improve expression recovery and robustness.
Turning Time Series into Algebraic Equations: Symbolic Machine Learning for Interpretable Modeling of Chaotic Time Series(7.0)
Symbolic regression forecasters that learn interpretable algebraic equations from chaotic time series data, offering a transparent alternative to black-box deep learning models.
Explaining the Explainer: Understanding the Inner Workings of Transformer-based Symbolic Regression Models(4.0)
Develop an evolutionary circuit discovery algorithm to enhance interpretable transformer-based symbolic regression models.
Prior-Guided Symbolic Regression: Towards Scientific Consistency in Equation Discovery(3.0)
A novel symbolic regression framework to ensure scientific consistency in equation discovery.