Generalized additive neural networks

By William J. E. Potts. 1999

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

1. Yoshua Bengio
2. Sergey Levine
3. J. Urgen Schmidhuber
4. Ruslan Salakhutdinov
5. Geoffrey E. Hinton
6. Kyunghyun Cho
7. Rishabh Agarwal
8. Trevor Darrell

Citations in the corpus

• Neural Additive Models: Interpretable Machine Learning with Neural Nets (2020, background): “Generalized Additive Neural Networks (GANNs) [29] are somewhat similar to the NAMs we propose here.”
• Development and validation of an interpretable neural network for prediction of postoperative in-hospital mortality (2021, methodology): “Inspired by GAMs, the same idea can be applied to neural networks through an architecture referred to as Generalized Additive Models with Neural Networks (GAM-NNs) 7 .”