SPINEX Symbolic Regression: Similarity-based Symbolic Regression with Explainable Neighbors Exploration

arXiv:2411.03358 · cs.LG, stat.CO · Submitted 2024-11-05 · Read on arXiv

MZ Naser, Ahmed Z Naser

cs.LG, stat.CO

Submitted: 2024-11-05

Updated: 2026-08-21

Code: https://github.com/brendenpetersen/deep-symbolic-optimization

Terminology

• Symbolic Regression — 68× in this paper · explained in 5 episodes
• Explainability — 32× in this paper · explained in 3 episodes
• Benchmarking — 20× in this paper · explained in 3 episodes
• Accuracy — 18× in this paper · explained in 1 episode
• Interpretability — 6× in this paper · explained in 15 episodes
• Benchmark — 5× in this paper · explained in 2 episodes
• Cosine Similarity — 5× in this paper · explained in 3 episodes
• Core — 3× in this paper · explained in 2 episodes
• Mean Squared Error — 3× in this paper
• Multi-objective Optimization — 3× in this paper · explained in 4 episodes
• Fidelity — 2× in this paper · explained in 2 episodes
• Reinforcement Learning — 2× in this paper · explained in 4 episodes
• Robustness — 2× in this paper · explained in 5 episodes
• Semantic Similarity — 2× in this paper · explained in 2 episodes
• Alignment — 1× in this paper · explained in 1 episode
• Calibration — 1× in this paper · explained in 7 episodes
• Clustering — 1× in this paper · explained in 2 episodes
• Composite Metric — 1× in this paper
• Deep Reinforcement Learning — 1× in this paper · explained in 2 episodes
• Dynamic Modeling — 1× in this paper · explained in 3 episodes
• Feature Engineering — 1× in this paper · explained in 3 episodes
• Generalizability — 1× in this paper · explained in 6 episodes
• Generalization — 1× in this paper · explained in 13 episodes
• Least Recently Used — 1× in this paper
• Local Optimization — 1× in this paper · explained in 2 episodes
• Quantum Physics — 1× in this paper · explained in 10 episodes
• Regularization — 1× in this paper · explained in 3 episodes
• System Identification — 1× in this paper · explained in 3 episodes
• Transfer Learning — 1× in this paper · explained in 10 episodes
• Transformer — 1× in this paper · explained in 2 episodes
• Transformer Models — 1× in this paper · explained in 2 episodes
• Unified Framework — 1× in this paper · explained in 5 episodes
• Verification — 1× in this paper · explained in 2 episodes
• alpha — 1× in this paper · explained in 1 episode

Sources

• Deep Symbolic Regression for Recurrent Sequences
• Rethinking Symbolic Regression Datasets and Benchmarks for Scientific Discovery
• Interpretable Machine Learning for Science with PySR and SymbolicRegression.jl

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