User profiles for Chiheon Kim
Chi Heon KimSeoul National University College of Medicine Verified email at snu.ac.kr Cited by 5213 |
Fast autoaugment
Data augmentation is an essential technique for improving generalization ability of deep
learning models. Recently, AutoAugment\cite {cubuk2018autoaugment} has been proposed as …
learning models. Recently, AutoAugment\cite {cubuk2018autoaugment} has been proposed as …
Autoregressive image generation using residual quantization
For autoregressive (AR) modeling of high-resolution images, vector quantization (VQ) represents
an image as a sequence of discrete codes. A short sequence length is important for an …
an image as a sequence of discrete codes. A short sequence length is important for an …
The efficacy of conventional radiofrequency denervation in patients with chronic low back pain originating from the facet joints: a meta-analysis of randomized …
Background Context Radiofrequency denervation is commonly used for the treatment of
chronic facet joint pain that has been refractory to more conservative treatments, although the …
chronic facet joint pain that has been refractory to more conservative treatments, although the …
Efficacy and safety of full-endoscopic decompression via interlaminar approach for central or lateral recess spinal stenosis of the lumbar spine: a meta-analysis
Study Design. A meta-analysis of five retrospective cohort studies. Objective. The aim of the
study was to delineate the efficacy and safety of full-endoscopic decompression via the …
study was to delineate the efficacy and safety of full-endoscopic decompression via the …
Comparison of minimally invasive versus open transforaminal interbody lumbar fusion
Study Design: Narrative review. Objectives: In this review, we address the question of whether
the literature supports the notion that minimally invasive transforaminal interbody fusion (…
the literature supports the notion that minimally invasive transforaminal interbody fusion (…
Scalable neural architecture search for 3d medical image segmentation
In this paper, a neural architecture search (NAS) framework is proposed for 3D medical image
segmentation, to automatically optimize a neural architecture from a large design space. …
segmentation, to automatically optimize a neural architecture from a large design space. …
Generalizable implicit neural representations via instance pattern composers
Despite recent advances in implicit neural representations (INRs), it remains challenging for
a coordinate-based multi-layer perceptron (MLP) of INRs to learn a common representation …
a coordinate-based multi-layer perceptron (MLP) of INRs to learn a common representation …
Stochastic block model for hypergraphs: Statistical limits and a semidefinite programming approach
C Kim, AS Bandeira, MX Goemans - arXiv preprint arXiv:1807.02884, 2018 - arxiv.org
We study the problem of community detection in a random hypergraph model which we call
the stochastic block model for $k$-uniform hypergraphs ($k$-SBM). We investigate the exact …
the stochastic block model for $k$-uniform hypergraphs ($k$-SBM). We investigate the exact …
Community detection in hypergraphs, spiked tensor models, and sum-of-squares
C Kim, AS Bandeira… - … international conference on …, 2017 - ieeexplore.ieee.org
We study the problem of community detection in hypergraphs under a stochastic block model.
Similarly to how the stochastic block model in graphs suggests studying spiked random …
Similarly to how the stochastic block model in graphs suggests studying spiked random …
Locality-aware generalizable implicit neural representation
Generalizable implicit neural representation (INR) enables a single continuous function, ie,
a coordinate-based neural network, to represent multiple data instances by modulating its …
a coordinate-based neural network, to represent multiple data instances by modulating its …