Improving Neural Additive Models with Bayesian Principles

no code implementations • 26 May 2023 • Kouroche Bouchiat, Alexander Immer, Hugo Yèche, Gunnar Rätsch, Vincent Fortuin

Neural additive models (NAMs) enhance the transparency of deep neural networks by handling input features in separate additive sub-networks.

Additive models Bayesian Inference +1