5 citations · 7 across the 9 of their papers we have counts for
9 papers
Robust Phase Retrieval by Alternating Minimization
Seonho Kim, Kiryung Lee
We consider a least absolute deviation (LAD) approach to the robust phase retrieval problem that aims to recover a signal from its absolute measurements corrupted with sparse noise…
Max-affine regression via first-order methods
Seonho Kim, Kiryung Lee
We consider regression of a max-affine model that produces a piecewise linear model by combining affine models via the max function. The max-affine model ubiquitously arises in app…
Sketching low-rank matrices with a shared column space by convex programming
Rakshith S Srinivasa, Seonho Kim, Kiryung Lee
In many practical applications including remote sensing, multi-task learning, and multi-spectrum imaging, data are described as a set of matrices sharing a common column space. We…
Max-Linear Regression by Convex Programming
Seonho Kim, Sohail Bahmani, Kiryung Lee
We consider the multivariate max-linear regression problem where the model parameters need to be estimated from inde…
Semi-Supervised Learning Detector for MU-MIMO Systems with One-bit ADCs
Seonho Kim, Song-Nam Hong
We study an uplink multiuser multiple-input multiple-output (MU-MIMO) system with one-bit analog-to-digital converters (ADCs). For such system, a supervised-learning (SL) detector…
A Supervised-Learning Detector for Multihop Distributed Reception Systems
Seonho Kim, Song-Nam Hong
We consider a multihop distributed uplink reception system in which users transmit independent messages to one data center of receive antennas, with the aid…