activity
20092023
most citedIdentification of Parametric Underspread Linear Systems and Super-Resolution Radar

132 citations · 1.3k across the 52 of their papers we have counts for

collaborators

55 papers

stat.ML2023★ 2 cited

Structured Low-Rank Tensors for Generalized Linear Models

Batoul Taki, Anand D. Sarwate, Waheed U. Bajwa

Recent works have shown that imposing tensor structures on the coefficient tensor in regression problems can lead to more reliable parameter estimation and lower sample complexity…

math.OC2023

Accelerated Gradient Methods for Nonconvex Optimization: Escape Trajectories From Strict Saddle Points and Convergence to Local Minima

Rishabh Dixit, Mert Gurbuzbalaban, Waheed U. Bajwa

This paper considers the problem of understanding the behavior of a general class of accelerated gradient methods on smooth nonconvex functions. Motivated by some recent works that…

eess.SP2022★ 16 cited

Programming Wireless Security through Learning-Aided Spatiotemporal Digital Coding Metamaterial Antenna

Alireza Nooraiepour, Shaghayegh Vosoughitabar, Chung-Tse Michael Wu +2

The advancement of future large-scale wireless networks necessitates the development of cost-effective and scalable security solutions. Conventional cryptographic methods, due to t…

astro-ph.IM2022★ 2 cited

A Method for Quantifying Position Reconstruction Uncertainty in Astroparticle Physics using Bayesian Networks

Christina Peters, Aaron Higuera, Shixiao Liang +4

Robust position reconstruction is paramount for enabling discoveries in astroparticle physics as backgrounds are significantly reduced by only considering interactions within the f…

hep-ex2021★ 5 cited

Domain-informed neural networks for interaction localization within astroparticle experiments

Shixiao Liang, Aaron Higuera, Christina Peters +4

This work proposes a domain-informed neural network architecture for experimental particle physics, using particle interaction localization with the time-projection chamber (TPC) t…

eess.SP2021

A Guide to Computational Reproducibility in Signal Processing and Machine Learning

Joseph Shenouda, Waheed U. Bajwa

Computational reproducibility is a growing problem that has been extensively studied among computational researchers and within the signal processing and machine learning research…