activity
20122026
most citedA Dictionary Approach to EBSD Indexing

12 citations · 23 across the 5 of their papers we have counts for

collaborators

6 papers

cs.LG2026

ARMED: Adaptive Retrieval-Augmented Medication Recommendation

Kyungkeon Chung, Se Un Park, Hyejin Lee +1

Medication recommendation requires jointly considering diagnoses, comorbidities, longitudinal patient history, and treatment interactions. Although recent retrieval-augmented gener…

cs.LG2020

Estimation for Compositional Data using Measurements from Nonlinear Systems using Artificial Neural Networks

Se Un Park

Our objective is to estimate the unknown compositional input from its output response through an unknown system after estimating the inverse of the original system with a training…

stat.ML2018

A Learning Theory in Linear Systems under Compositional Models

Se Un Park

We present a learning theory for the training of a linear system operator having an input compositional variable and propose a Bayesian inversion method for inferring the unknown v…

cs.CV2015★ 12 cited

A Dictionary Approach to EBSD Indexing

Yu-Hui Chen, Se Un Park, Dennis Wei +5

We propose a framework for indexing of grain and sub-grain structures in electron backscatter diffraction (EBSD) images of polycrystalline materials. The framework is based on a pr…

physics.data-an2013

Variational Semi-blind Sparse Deconvolution with Orthogonal Kernel Bases and its Application to MRFM

Se Un Park, Nicolas Dobigeon, Alfred O. Hero

We present a variational Bayesian method of joint image reconstruction and point spread function (PSF) estimation when the PSF of the imaging device is only partially known. To sol…

physics.data-an2012★ 11 cited

Semi-blind Sparse Image Reconstruction with Application to MRFM

Se Un Park, Nicolas Dobigeon, Alfred O. Hero

We propose a solution to the image deconvolution problem where the convolution kernel or point spread function (PSF) is assumed to be only partially known. Small perturbations gene…