4 citations · 6 across the 5 of their papers we have counts for
6 papers
Automotive RADAR sub-sampling via object detection networks: Leveraging prior signal information
Madhumitha Sakthi, Ahmed Tewfik, Marius Arvinte +1
Automotive radar has increasingly attracted attention due to growing interest in autonomous driving technologies. Acquiring situational awareness using multimodal data collected at…
Federated Dynamic Sparse Training: Computing Less, Communicating Less, Yet Learning Better
Sameer Bibikar, Haris Vikalo, Zhangyang Wang +1
Federated learning (FL) enables distribution of machine learning workloads from the cloud to resource-limited edge devices. Unfortunately, current deep networks remain not only too…
Sparse recovery via Orthogonal Least-Squares under presence of Noise
Abolfazl Hashemi, Haris Vikalo
We consider the Orthogonal Least-Squares (OLS) algorithm for the recovery of a -dimensional -sparse signal from a low number of noisy linear measurements. The Exact Recovery…
Designing Optimal Mortality Risk Prediction Scores that Preserve Clinical Knowledge
Natalia M. Arzeno, Karla A. Lawson, Sarah V. Duzinski +1
Many in-hospital mortality risk prediction scores dichotomize predictive variables to simplify the score calculation. However, hard thresholding in these additive stepwise scores o…
Haplotype Assembly: An Information Theoretic View
Hongbo Si, Haris Vikalo, Sriram Vishwanath
This paper studies the haplotype assembly problem from an information theoretic perspective. A haplotype is a sequence of nucleotide bases on a chromosome, often conveniently repre…
Iterative Learning for Reference-Guided DNA Sequence Assembly from Short Reads: Algorithms and Limits of Performance
Xiaohu Shen, Manohar Shamaiah, Haris Vikalo
Recent emergence of next-generation DNA sequencing technology has enabled acquisition of genetic information at unprecedented scales. In order to determine the genetic blueprint of…