AI RESEARCH
KAPLAN: Kolmogorov-Arnold Prognostic Learnable Activation Networks for Survival Analysis
arXiv CS.AI
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ArXi:2605.23082v1 Announce Type: cross 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