| # 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). |