740 citations · 3.4k across the 125 of their papers we have counts for
3 papers · 2 filters
Applications of Common Entropy for Causal Inference
Murat Kocaoglu, Sanjay Shakkottai, Alexandros G. Dimakis +2
We study the problem of discovering the simplest latent variable that can make two observed discrete variables conditionally independent. The minimum entropy required for such a la…
Learning a Compressed Sensing Measurement Matrix via Gradient Unrolling
Shanshan Wu, Alexandros G. Dimakis, Sujay Sanghavi +5
Linear encoding of sparse vectors is widely popular, but is commonly data-independent -- missing any possible extra (but a priori unknown) structure beyond sparsity. In this paper…
Compressed Sensing with Deep Image Prior and Learned Regularization
Dave Van Veen, Ajil Jalal, Mahdi Soltanolkotabi +3
We propose a novel method for compressed sensing recovery using untrained deep generative models. Our method is based on the recently proposed Deep Image Prior (DIP), wherein the c…