# SIC: Survival In-Context

The official implementation of the paper [Survival In-Context: Amortized Bayesian Survival Analysis via Prior-Fitted Networks](https://arxiv.org/pdf/2603.29475)

SIC brings the PFN and ICL paradigms to survival analysis. SIC requires no hyperparameter tuning and no training, performing predictions using the training dataset as context.

For the code, please see the [github](https://github.com/yayapa/sic).