activity
20172020
most citedEstimating Hidden Asymptomatics, Herd Immunity Threshold and Lockdown Effects using a COVID-19 Specific Model

6 citations · 6 across the 2 of their papers we have counts for

collaborators

5 papers

q-bio.PE20206 cited

Estimating Hidden Asymptomatics, Herd Immunity Threshold and Lockdown Effects using a COVID-19 Specific Model

Shaurya Kaushal, Abhineet Singh Rajput, Soumyadeep Bhattacharya +4

A quantitative COVID-19 model that incorporates hidden asymptomatic patients is developed, and an analytic solution in parametric form is given. The model incorporates the impact o…

stat.ML2019

New and Explicit Constructions of Unbalanced Ramanujan Bipartite Graphs

Shantanu Prasad Burnwal, Kaneenika Sinha, Mathukumalli Vidyasagar

The objectives of this article are three-fold. Firstly, we present for the first time explicit constructions of an infinite family of \textit{unbalanced} Ramanujan bigraphs. Second…

stat.ML2019

Deterministic Completion of Rectangular Matrices Using Asymmetric Ramanujan Graphs: Exact and Stable Recovery

Shantanu Prasad Burnwal, Mathukumalli Vidyasagar

In this paper we study the matrix completion problem: Suppose is unknown except for a known upper bound on its rank. By measuring a small n…

stat.ML2018

Compressed Sensing Using Binary Matrices of Nearly Optimal Dimensions

Mahsa Lotfi, Mathukumalli Vidyasagar

In this paper, we study the problem of compressed sensing using binary measurement matrices and -norm minimization (basis pursuit) as the recovery algorithm. We derive new…

stat.ML2017

An Approach to One-Bit Compressed Sensing Based on Probably Approximately Correct Learning Theory

Mehmet Eren Ahsen, Mathukumalli Vidyasagar

In this paper, the problem of one-bit compressed sensing (OBCS) is formulated as a problem in probably approximately correct (PAC) learning. It is shown that the Vapnik-Chervonenki…