activity
20142024
most citedPhase Retrieval Meets Statistical Learning Theory: A Flexible Convex Relaxation

55 citations · 69 across the 11 of their papers we have counts for

collaborators

11 papers

eess.SP2024

Robust Broadband Beamforming using Bilinear Programming

Nakul Singh, Coleman DeLude, Mark A. Davenport +1

We introduce a new method for robust beamforming, where the goal is to estimate a signal from array samples when there is uncertainty in the angle of arrival. Our method offers sta…

eess.SP2024

Real-time Digital RF Emulation -- II: A Near Memory Custom Accelerator

Mandovi Mukherjee, Xiangyu Mao, Nael Rahman +16

A near memory hardware accelerator, based on a novel direct path computational model, for real-time emulation of radio frequency systems is demonstrated. Our evaluation of hardware…

eess.SP2024

Real-time Digital RF Emulation -- I: The Direct Path Computational Model

Coleman DeLude, Joe Driscoll, Mandovi Mukherjee +11

In this paper we consider the problem of developing a computational model for emulating an RF channel. The motivation for this is that an accurate and scalable emulator has the pot…

stat.ML20241 cited

Precise asymptotics of reweighted least-squares algorithms for linear diagonal networks

Chiraag Kaushik, Justin Romberg, Vidya Muthukumar

The classical iteratively reweighted least-squares (IRLS) algorithm aims to recover an unknown signal from linear measurements by performing a sequence of weighted least squares pr…

cs.MA20243 cited

Confidence-Based Curriculum Learning for Multi-Agent Path Finding

Thomy Phan, Joseph Driscoll, Justin Romberg +1

A wide range of real-world applications can be formulated as Multi-Agent Path Finding (MAPF) problem, where the goal is to find collision-free paths for multiple agents with indivi…

eess.SP20232 cited

PETAL: Physics Emulation Through Averaged Linearizations for Solving Inverse Problems

Jihui Jin, Etienne Ollivier, Richard Touret +3

Inverse problems describe the task of recovering an underlying signal of interest given observables. Typically, the observables are related via some non-linear forward model applie…