Lim, Sungbin (임성빈, 林聖彬)
Lim, Sungbin (임성빈, 林聖彬)
Assistant Professor, Korea University, Department of Statistics
Verified email at - Homepage
Cited by
Cited by
Fast AutoAugment
S Lim, I Kim, T Kim, C Kim, S Kim
Advances in Neural Information Processing Systems 32, 6662-6672, 2019
Neural stain-style transfer learning using GAN for histopathological images
H Cho, S Lim, G Choi, H Min
ACML Workshop on MLAIP, 2017
Uncertainty-aware learning from demonstration using mixture density networks with sampling-free variance modeling
S Choi, K Lee, S Lim, S Oh
2018 IEEE International Conference on Robotics and Automation (ICRA), 6915-6922, 2018
Scalable Neural Architecture Search for 3D Medical Image Segmentation
S Kim, I Kim, S Lim, W Baek, C Kim, H Cho, B Yoon, T Kim
Medical Image Computing and Computer Assisted Intervention 22, 220-228, 2019
An Lq (Lp)-theory for the time fractional evolution equations with variable coefficients
I Kim, KH Kim, S Lim
Advances in Mathematics 306, 123-176, 2017
A deep reinforcement learning approach for solving the traveling salesman problem with drone
A Bogyrbayeva, T Yoon, H Ko, S Lim, H Yun, C Kwon
Transportation Research Part C: Emerging Technologies 148, 103981, 2023
torchgpipe: On-the-fly Pipeline Parallelism for Training Giant Models
C Kim, H Lee, M Jeong, W Baek, B Yoon, I Kim, S Lim, S Kim
arXiv preprint arXiv:2004.09910, 2020
Monte Carlo Tree Search in Continuous Spaces Using Voronoi Optimistic Optimization with Regret Bounds
B Kim, K Lee, S Lim, LP Kaelbling, T Lozano-Pérez
Proceedings of the AAAI Conference on Artificial Intelligence 34, 2020
Asymptotic behaviors of fundamental solution and its derivatives related to space-time fractional differential equations
KH Kim, S Lim
Journal of the Korean Mathematical Society 53 (4), 929-967, 2016
Optimal Algorithms for Stochastic Multi-Armed Bandits with Heavy Tailed Rewards
K Lee, H Yang, S Lim, S Oh
Advances in Neural Information Processing Systems 33, 2020
Tsallis Reinforcement Learning: A Unified Framework for Maximum Entropy Reinforcement Learning
K Lee, S Kim, S Lim, S Choi, S Oh
arXiv preprint arXiv:1902.00137, 2019
Generalized Tsallis Entropy Reinforcement Learning and Its Application to Soft Mobile Robots
K Lee, S Kim, S Lim, S Choi, M Hong, J Kim, YL Park, S Oh
Robotics: Science and Systems Foundation, 2020
Task Agnostic Robust Learning on Corrupt Outputs by Correlation-Guided Mixture Density Networks
S Choi, S Hong, K Lee, S Lim
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020
A Sobolev space theory for stochastic partial differential equations with time-fractional derivatives
I Kim, K Kim, S Lim
The Annals of Probability 47 (4), 2087-2139, 2019
An L q (L p )-Theory for Parabolic Pseudo-Differential Equations: Calderón-Zygmund Approach
I Kim, S Lim, KH Kim
Potential Analysis 45, 463-483, 2016
Parabolic BMO estimates for pseudo-differential operators of arbitrary order
I Kim, KH Kim, S Lim
Journal of Mathematical Analysis and Applications 427 (2), 557-580, 2015
Parabolic Littlewood–Paley inequality for a class of time-dependent pseudo-differential operators of arbitrary order, and applications to high-order stochastic PDE
I Kim, KH Kim, S Lim
Journal of Mathematical Analysis and Applications 436 (2), 1023-1047, 2016
Neural Bootstrapper
M Shin, H Cho, H Min, S Lim
Thirty-Fifth Conference on Neural Information Processing Systems, 2021
Evaluation of conditional treatment effects of adjuvant treatments on patients with synovial sarcoma using Bayesian subgroup analysis
SW Seo, J Kim, J Son, S Lim
BMC Medical Informatics and Decision Making 20, 1-12, 2020
Score-based Generative Modeling through Stochastic Evolution Equations in Hilbert Spaces
S Lim, E Yoon, T Byun, T Kang, S Kim, K Lee, S Choi
Thirty-seventh Conference on Neural Information Processing Systems, 2023
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