neural-additive-models
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An intepretable model for survival prediction in competing risks settings. Checkout our blog!! https://vectorinstitute.github.io/crisp-nam/blog/
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Jul 21, 2026 - Python
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).
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Mar 15, 2026 - Python
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Apr 3, 2026 - Python
GraphNAMLSS provides tools for modeling complex graph-structured data with Neural Additive Models for Location, Scale and Shape (NAMLSS).
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Jul 23, 2026 - Python
Interpretable GAM models for insurance pricing — EBM tariffs, Actuarial NAM, Pairwise Interaction Networks (PIN), exact Shapley values
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Apr 5, 2026 - Python
Interpretable, survey-weighted analysis of kidney-stone risk factors in NHANES 2007-2018, with a from-scratch PyTorch neural additive model. Research code, not a diagnostic tool.
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Aug 13, 2026 - Python
Generalized Additive Model with estimation of smooth functions using Neural Networks
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Mar 24, 2025 - Python
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