KAPLAN: Kolmogorov-Arnold Prognostic Learnable Activation Networks for Survival Analysis 事件

KAPLAN: Kolmogorov-Arnold Prognostic Learnable Activation Networks for Survival Analysis arXiv:2605.23082v2 Announce Type: replace-cross Abstract: Survival analysis aims to model how covariates and time jointly shape the time-to-event distribution under right censoring. Classical methods such as the Cox model and generalised additive models (GAMs) require interactions and time-varying effects to be manually specified, which is increasingly impractical on rich clinical datasets. We introduce KAP