201 citations · 1.2k across the 107 of their papers we have counts for
5 papers · 1 filter
Sample Compression, Support Vectors, and Generalization in Deep Learning
Christopher Snyder, Sriram Vishwanath
Even though Deep Neural Networks (DNNs) are widely celebrated for their practical performance, they possess many intriguing properties related to depth that are difficult to explai…
Experimental Design for Cost-Aware Learning of Causal Graphs
Erik M. Lindgren, Murat Kocaoglu, Alexandros G. Dimakis +1
We consider the minimum cost intervention design problem: Given the essential graph of a causal graph and a cost to intervene on a variable, identify the set of interventions with…
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…
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…
On the Key Generation Rate of Physically Unclonable Functions
Yitao Chen, Muryong Kim, Sriram Vishwanath
In this paper, an algebraic binning based coding scheme and its associated achievable rate for key generation using physically unclonable functions (PUFs) is determined. This achie…