58 citations · 176 across the 36 of their papers we have counts for
13 papers · 1 filter
MR-GAN: Manifold Regularized Generative Adversarial Networks
Qunwei Li, Bhavya Kailkhura, Rushil Anirudh +3
Despite the growing interest in generative adversarial networks (GANs), training GANs remains a challenging problem, both from a theoretical and a practical standpoint. To address…
On the optimality of likelihood ratio test for prospect theory based binary hypothesis testing
Sinan Gezici, Pramod K. Varshney
In this letter, the optimality of the likelihood ratio test (LRT) is investigated for binary hypothesis testing problems in the presence of a behavioral decision-maker. By utilizin…
Energy-efficient Decision Fusion for Distributed Detection in Wireless Sensor Networks
N. Sriranga, K. G. Nagananda, R. S. Blum +2
This paper proposes an energy-efficient counting rule for distributed detection by ordering sensor transmissions in wireless sensor networks. In the counting rule-based detection i…
K-medoids Clustering of Data Sequences with Composite Distributions
Tiexing Wang, Qunwei Li, Donald J. Bucci +3
This paper studies clustering of data sequences using the k-medoids algorithm. All the data sequences are assumed to be generated from \emph{unknown} continuous distributions, whic…
Abnormality Detection inside Blood Vessels with Mobile Nanomachines
Neeraj Varshney, Adarsh Patel, Yansha Deng +3
Motivated by the numerous healthcare applications of molecular communication within Internet of Bio-Nano Things (IoBNT), this work addresses the problem of abnormality detection in…
Why Interpretability in Machine Learning? An Answer Using Distributed Detection and Data Fusion Theory
Kush R. Varshney, Prashant Khanduri, Pranay Sharma +2
As artificial intelligence is increasingly affecting all parts of society and life, there is growing recognition that human interpretability of machine learning models is important…