Discovery of Interpretable Surrogates via Agentic AI: Application to Gravitational Waves

arXiv:2605.11280 · gr-qc, astro-ph.HE, cs.AI · Submitted 2026-05-11 · Read on arXiv

gr-qc, astro-ph.HE, cs.AI

Submitted: 2026-05-11

Updated: 2026-09-20

Comments: 25 pages, 9 figures, codes available at https://github.com/tousifislam/GWAgent

Code: https://github.com/tousifislam/GWAgent

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

• Accuracy — 39× in this paper · explained in 1 episode
• Symbolic Regression — 15× in this paper · explained in 5 episodes
• Agentic Workflows — 4× in this paper · explained in 1 episode
• Consistency — 4× in this paper · explained in 3 episodes
• Failure Modes — 4× in this paper · explained in 3 episodes
• Generalization — 4× in this paper · explained in 13 episodes
• Agentic Framework — 3× in this paper · explained in 6 episodes
• Bayesian Inference — 3× in this paper · explained in 5 episodes
• Benchmark — 3× in this paper · explained in 2 episodes
• Large Language Model (LLM) — 3× in this paper · explained in 3 episodes
• Robustness — 3× in this paper · explained in 5 episodes
• Agentic AI — 2× in this paper · explained in 1 episode
• Agentic System — 2× in this paper · explained in 2 episodes
• Grounding — 2× in this paper · explained in 3 episodes
• Interpretability — 2× in this paper · explained in 15 episodes
• AGN — 1× in this paper · explained in 1 episode
• AI Agents — 1× in this paper · explained in 2 episodes
• Alignment — 1× in this paper · explained in 1 episode
• Benchmarking — 1× in this paper · explained in 3 episodes
• Center for Scientific Computing — 1× in this paper
• Chain-of-Thought Prompting — 1× in this paper · explained in 2 episodes
• Clustering — 1× in this paper · explained in 2 episodes
• Foundation Model — 1× in this paper · explained in 3 episodes
• Foundation Models — 1× in this paper · explained in 7 episodes
• Hallucination — 1× in this paper · explained in 3 episodes
• Inverse Problem — 1× in this paper · explained in 2 episodes
• Iterative Refinement — 1× in this paper · explained in 3 episodes
• Large Language Models (LLMs) — 1× in this paper · explained in 6 episodes
• Regularization — 1× in this paper · explained in 3 episodes
• Singular Value Decomposition (SVD) — 1× in this paper · explained in 2 episodes

Sources

• Fourier Neural Operator for Parametric Partial Differential Equations
• Evaluating Large Language Models Trained on Code
• How Efficient is LLM-Generated Code? A Rigorous & High-Standard Benchmark
• GPT-4 Technical Report
• Chain-of-Thought Prompting Elicits Reasoning in Large Language Models
• ReAct: Synergizing Reasoning and Acting in Language Models
• Toolformer: Language Models Can Teach Themselves to Use Tools
• The Denario project: Deep knowledge AI agents for scientific discovery
• SWE-agent: Agent-Computer Interfaces Enable Automated Software Engineering
• SWE-bench: Can Language Models Resolve Real-World GitHub Issues?
• Voyager: An Open-Ended Embodied Agent with Large Language Models
• AstroLLaMA: Towards Specialized Foundation Models in Astronomy
• Open Source Planning & Control System with Language Agents for Autonomous Scientific Discovery
• Enhancing Agentic Autonomous Scientific Discovery with Vision-Language Model Capabilities
• GW200208_222617 as an eccentric black-hole binary merger: properties and astrophysical implications
• Interpretable Machine Learning for Science with PySR and SymbolicRegression.jl

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