I also published under the aliases of Khu-rai Kim and Khu rai Kim. This list has been generated by jekyll-scholar.


  1. Markov Chain Score Ascent: A Unifying Framework of Variational Inference with Markovian Gradients
    Kyurae Kim, Jisu Oh, Jacob R. Gardner, Adji Bousso Dieng, and Hongseok Kim.
    In Advances in Neural Information Processing Systems (to be presented) 2022


  1. Fast Calculation Software for Modified Look-Locker Inversion Recovery (MOLLI) T1 Mapping
    Yoon-Chul Kim,  Kyurae Kim, Hyelee Lee, and Yeon Hyeon Choe.
    BMC Medical Imaging 2021
  2. A GPU Scheduling Framework to Accelerate Hyper-Parameter Optimization in Deep Learning Clusters
    Jaewon Son, Yonghyuk Yoo,  Kyurae Kim, Youngjae Kim, Kwonyong Lee, and Sungyong Park.
    Electronics 2021


  1. A Probabilistic Machine Learning Approach to Scheduling Parallel Loops with Bayesian Optimization
    Kyurae Kim, Youngjae Kim, and Sungyong Park.
    IEEE Transactions on Parallel and Distributed Systems 2020
  2. Automatic Myocardial Segmentation in Dynamic Contrast Enhanced Perfusion MRI Using Monte Carlo Dropout in an Encoder-Decoder Convolutional Neural Network
    Yoon-Chul Kim,  Kyurae Kim, and Yeon Hyeon Choe.
    Computer Methods and Programs in Biomedicine 2020


  1. EVCMR: A Tool for the Quantitative Evaluation and Visualization of Cardiac MRI Data
    Yoon-Chul Kim,  Kyurae Kim, Kwanghee Choi, Minwoo Kim, Younjoon Chung, and Yeon Hyeon Choe.
    Computers in Biology and Medicine 2019
  2. Towards Robust Data-Driven Parallel Loop Scheduling Using Bayesian Optimization
    Kyurae Kim, Youngjae Kim, and Sungyong Park.
    In Proceedings of the IEEE International Symposium on Modeling, Analysis, and Simulation of Computer and Telecommunication Systems 2019