Autonomous Algorithm Discovery for Ptychography via Evolutionary LLM Reasoning
Ptychography is a computational imaging technique widely used for high-resolution materials characterization, but high-quality reconstructions often require the use of regularization functions that largely remain manually designed. We introduce Ptychi-Evolve, an autonomous framework that uses large language models (LLMs) to discover and evolve novel regularization algorithms. The framework combines LLM-driven code generation with evolutionary mechanisms, including semantically-guided crossover and mutation. Experiments on three challenging datasets (X-ray integrated circuits, low-dose electron microscopy of apoferritin, and multislice imaging with crosstalk artifacts) demonstrate that dis...
| Authors | Xiangyu Yin, Ming Du, Junjing Deng et al. |
|---|---|
| Primary category | cs.CE |
| Published | 5 March 2026 |
| Last updated at source | 5 March 2026 |
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