Survival In-Context: Amortized Bayesian Survival Analysis via Prior-Fitted Networks
Paper • 2603.29475 • Published
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Check out the documentation for more information.
The official implementation of the paper Survival In-Context: Amortized Bayesian Survival Analysis via Prior-Fitted Networks
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.