Symbolic Discovery of Ordinary Differential Equations on SIR 2D ID-Ext
0Residual NMSEDoLQ
Evaluation results
| Method | Links | ||
|---|---|---|---|
| DoLQSearch Budget=100 iterations, LLM Engine=Gemini 2.5 Flash Lite, Aggregation=Dimension-averaged2026.05 | 0 | 0 | |
| LLM-SRSearch Budget=100 iterations per dimension, LLM Engine=Gemini 2.5 Flash Lite, Aggregation=Dimension-averaged2026.05 | 0 | 0 | |
| ICSRSearch Budget=100 iterations per dimension, LLM Engine=Gemini 2.5 Flash Lite, Aggregation=Dimension-averaged2026.05 | 0 | 0 | |
| LASRSearch Budget=Comparable expected iterations per dimension, LLM Engine=Gemini 2.5 Flash Lite, Aggregation=Dimension-averaged2026.05 | 0 | 0 | |
| DoLQSearch Budget=100 iterations, LLM Engine=Gemini 2.5 Flash Lite, Aggregation=Dimension-averaged2026.05 | 0 | 0 | |
| ICSRSearch Budget=100 iterations per dimension, LLM Engine=Gemini 2.5 Flash Lite, Aggregation=Dimension-averaged2026.05 | 0.0001 | 0.0003 | |
| LLM-SRSearch Budget=100 iterations per dimension, LLM Engine=Gemini 2.5 Flash Lite, Aggregation=Dimension-averaged2026.05 | 0.0051 | 0.0094 | |
| LASRSearch Budget=Comparable expected iterations per dimension, LLM Engine=Gemini 2.5 Flash Lite, Aggregation=Dimension-averaged2026.05 | 11.4 | 48.5 |