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Kyurae Kim
Observed names:
Khu Rai Kim,
Khu-Rai Kim,
Khu-rai Kim,
Kim, Kyurae
Institutions:
University of Liverpool,
University of Pennsylvania
Observed institutions:
Centre National de la Recherche Scientifique,
University of Liverpool,
Sogang University,
University of California San Diego,
Centre de Mathématiques Appliquées de l'École polytechnique,
Centre Borelli,
University of Pennsylvania
show all 7
ORCID:
0000-0003-2063-0889
Observed ORCID:
0000-0003-2063-0889
OpenAlex ID:
A5064264827
Automatic myocardial segmentation in dynamic contrast enhanced perfusion MRI using Monte Carlo dropout in an encoder-decoder convolutional neural network
2019
·
Yoon-Chul Kim
, Khu Rai Kim
, et al.
·
Computer Methods and Programs in Biomedicine
·
25
A Probabilistic Machine Learning Approach to Scheduling Parallel Loops With Bayesian Optimization
2020
·
Khu-Rai Kim
, Youngjae Kim
, et al.
·
IEEE Transactions on Parallel and Distributed Systems
·
15
PDF
EVCMR: A tool for the quantitative evaluation and visualization of cardiac MRI data
2019
·
Yoon-Chul Kim
, Khu Rai Kim
, et al.
·
Computers in Biology and Medicine
·
15
The Behavior and Convergence of Local Bayesian Optimization
2023
·
Kaiwen Wu
, Kyurae Kim
, et al.
·
neural information processing systems
·
12
PDF
On the Convergence of Black-Box Variational Inference
2023
·
Kyurae Kim
, Jisu Oh
, et al.
·
neural information processing systems
·
6
PDF
Markov Chain Score Ascent: A Unifying Framework of Variational Inference with Markovian Gradients
2022
·
Kyurae Kim
, Jisu Oh
, et al.
·
neural information processing systems
·
6
PDF
Fast calculation software for modified Look-Locker inversion recovery (MOLLI) T1 mapping
2021
·
Yoon-Chul Kim
, Khu Rai Kim
, et al.
·
BMC Medical Imaging
·
5
PDF
A GPU Scheduling Framework to Accelerate Hyper-Parameter Optimization in Deep Learning Clusters
2021
·
Jaewon Son
, Yonghyuk Yoo
, et al.
·
Electronics
·
5
PDF
Stochastic Approximation with Biased MCMC for Expectation Maximization
2024
·
Gruffaz, Samuel
, Kim, Kyurae
, et al.
·
arXiv (Cornell University)
·
4
PDF
Automatic calculation of myocardial perfusion reserve using deep learning with uncertainty quantification
2023
·
Yoon-Chul Kim
, Kyurae Kim
, et al.
·
Quantitative Imaging in Medicine and Surgery
·
4
PDF
Tuning Sequential Monte Carlo Samplers via Greedy Incremental Divergence Minimization
2025
·
Kim, Kyurae
, Xu, Zuheng
, et al.
·
arXiv (Cornell University)
·
3
PDF
Approximation-Aware Bayesian Optimization
2024
·
Natalie Maus
, Kyurae Kim
, et al.
·
neural information processing systems
·
3
PDF
Provably Scalable Black-Box Variational Inference with Structured Variational Families
2024
·
Ko, Joohwan
, Kim, Kyurae
, et al.
·
arXiv (Cornell University)
·
2
PDF
Linear Convergence of Black-Box Variational Inference: Should We Stick the Landing?
2023
·
Kim, Kyurae
, Ma, Yian
, et al.
·
arXiv (Cornell University)
·
2
PDF
Analysis of kinetic Langevin Monte Carlo under the stochastic exponential Euler discretization from underdamped all the way to overdamped
2026
·
Kyurae Kim
, Samuel Gruffaz
, et al.
·
Electronic Journal of Statistics
·
1
PDF
Covering Multiple Objectives with a Small Set of Solutions Using Bayesian Optimization
2025
·
Natalie Maus
, Kyurae Kim
, et al.
·
neural information processing systems
·
1
PDF
Demystifying SGD with Doubly Stochastic Gradients
2024
·
Kim, Kyurae
, Ko, Joohwan
, et al.
·
arXiv (Cornell University)
·
1
PDF
Towards Robust Data-Driven Parallel Loop Scheduling Using Bayesian Optimization
2019
·
Khu-rai Kim
, Youngjae Kim
, et al.
·
Proceedings - International Symposium on Modeling, Analysis, and Simulation of Computer and Telecommunication Systems
·
1
Adaptive Bayesian beamforming for imaging by marginalizing the speed of sound
2026
·
Kyurae Kim
, Jason F. Ralph
, et al.
·
JASA Express Letters
Stochastic Gradient Variational Inference with Price's Gradient Estimator from Bures-Wasserstein to Parameter Space
2026
·
Kim, Kyurae
, Fu, Qiang
, et al.
·
arXiv (Cornell University)
PDF
Nearly Dimension-Independent Convergence of Mean-Field Black-Box Variational Inference
2025
·
Kyurae Kim
, Yian Ma
, et al.
·
neural information processing systems
PDF
Practical and Matching Gradient Variance Bounds for Black-Box Variational Bayesian Inference
2023
·
Kim, Kyurae
, Wu, Kaiwen
, et al.
·
arXiv (Cornell University)
PDF
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Works count:
22
Citation count:
111
H-index:
6
I10-index:
4
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