Euclidean Norm Regularization
Euclidean Norm Regularization
**Euclidean Norm Regularization** is a regularization step used in [generative adversarial networks](https://paperswithcode.com/methods/category/generative-adversarial-networks), and is typically added to both the generator and discriminator losses:

$$ R\_{z} = w\_{r} \cdot ||\Delta{z}||^{2}\_{2} $$

where the scalar weight $w\_{r}$ is a parameter.

Image: [LOGAN](https://paperswithcode.com/method/logan)
Deep Compressed Sensing
https://paperswithcode.com/paper/deep-compressed-sensing
Deep Compressed Sensing