We study the generalization behavior of transfer learning of deep neural...
We discuss methods for visualizing neural network decision boundaries an...
The rapid recent progress in machine learning (ML) has raised a number o...
We study overparameterization in generative adversarial networks (GANs) ...
We study a fundamental transfer learning process from source to target l...
The Magnetic Resonance Imaging (MRI) processing chain starts with a crit...
We study the transfer learning process between two linear regression
pro...
We study the linear subspace fitting problem in the overparameterized
se...
We consider the problem of finding optimal piecewise constant approximat...
Storage systems often rely on multiple copies of the same compressed dat...
In this work we propose a method for optimizing the lossy compression fo...
Many information systems employ lossy compression as a crucial intermedi...
In imaging systems, following acquisition, an image/video is transmitted...