Search Results for author:
Found 2 papers, 1 papers with code
Tighter Bounds on the Information Bottleneck with Application to Deep Learning
These advancements strengthen the case for the IB and its variational approximations as a data modeling framework, and provide a simple method to significantly enhance the adversarial robustness of classifier DNNs.
Autoencoder Image Interpolation by Shaping the Latent Space
We argue that these incongruities are due to the structure of the latent space and because such naively interpolated latent vectors deviate from the data manifold.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
