An intepretable model for survival prediction in competing risks settings. Checkout our blog!! https://vectorinstitute.github.io/crisp-nam/blog/
-
Updated
Apr 13, 2026 - Python
An intepretable model for survival prediction in competing risks settings. Checkout our blog!! https://vectorinstitute.github.io/crisp-nam/blog/
Generalized Additive Model with estimation of smooth functions using Neural Networks
This study proposes a diverse family of additive models that extend Generalized Additive Models to achieve both interpretability and predictive performance in forecasting. While preserving the stability of traditional GAMs, we develop Feature-wise Additive Models, Gradient Boosting Additive Models, and TabNet-based Neural Additive Models (TabNAM).
Interpretable GAM models for insurance pricing — EBM tariffs, Actuarial NAM, Pairwise Interaction Networks (PIN), exact Shapley values
recurrent neural additive model
Add a description, image, and links to the neural-additive-models topic page so that developers can more easily learn about it.
To associate your repository with the neural-additive-models topic, visit your repo's landing page and select "manage topics."