Kernaut: Coding Agents Autodiscover Interpretable GP Kernels
A new paper introduces Kernaut, which has coding agents autodiscover Gaussian-process kernels via program search; the discovered interpretable kernels beat tuned standard kernels on blood-glucose prediction.
2026-10-08 ~ 2026-10-08 · 4 related posts
- Kernaut: coding agents design Gaussian process kernels via program search — sirbayes · 2026-10-08
- Kernaut's discovered kernel beats tuned standard kernels on glucose prediction — sirbayes · 2026-10-08
- Kernaut's discovered kernels stay interpretable: 16 scalar functions, inner-product form — sirbayes · 2026-10-08
- KERNAUT uses coding agents and QD search to auto-discover interpretable kernel models — sirbayes · 2026-10-08