Efficient Constant Optimization for Symbolic Regression with GPU-Accelerated Tree-Based Genetic Programming

arXiv:2609.03352 · cs.NE, cs.DC, cs.LG, cs.MS · Submitted 2026-09-03 · Read on arXiv

cs.NE, cs.DC, cs.LG, cs.MS

Submitted: 2026-09-03

Updated: 2026-09-03

Code: https://github.com/TensorConv/CuSR

Terminology

• Symbolic Regression — 23× in this paper · explained in 5 episodes
• Core — 7× in this paper · explained in 2 episodes
• Benchmark — 5× in this paper · explained in 2 episodes
• Local Optimization — 3× in this paper · explained in 2 episodes
• Benchmarking — 1× in this paper · explained in 3 episodes
• Fine-Tuning — 1× in this paper · explained in 5 episodes

Sources

• Interpretable Machine Learning for Science with PySR and SymbolicRegression.jl
• Data-driven discovery of governing differential equations across physical systems

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