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Dongha Kim
ORCID
Publication Activity (10 Years)
Years Active: 2018-2024
Publications (10 Years): 22
Top Topics
Nonparametric Estimation
Generative Model
Neural Network
Event Detection
Top Venues
CoRR
IEEE Access
SoftwareX
ICCD
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Publications
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Kwanyeob Chae
,
Jaegeun Song
,
Yoonjae Choi
,
Jiyeon Park
,
Billy Koo
,
Jihun Oh
,
Shinyoung Yi
,
Won Lee
,
Dongha Kim
,
Kyeongkeun Kang
,
Eunsu Kim
,
Juyoung Kim
,
Sanghune Park
,
Sungcheol Park
,
Mijung Noh
,
Hyo-Gyuem Rhew
,
Jongshin Shin
A 4-nm 1.15 TB/s HBM3 Interface With Resistor-Tuned Offset Calibration and In Situ Margin Detection.
IEEE J. Solid State Circuits
59 (1) (2024)
Minwoo Chae
,
Dongha Kim
,
Yongdai Kim
,
Lizhen Lin
A Likelihood Approach to Nonparametric Estimation of a Singular Distribution Using Deep Generative Models.
J. Mach. Learn. Res.
24 (2023)
Dongha Kim
,
Jaesung Hwang
,
Jongjin Lee
,
Kunwoong Kim
,
Yongdai Kim
ODIM: an efficient method to detect outliers via inlier-memorization effect of deep generative models.
CoRR
(2023)
Yong-Uk Yoon
,
Dongha Kim
,
Jooyoung Lee
,
Byung Tae Oh
,
Jae-Gon Kim
An Efficient Multi-Scale Feature Compression With QP-Adaptive Feature Channel Truncation for Video Coding for Machines.
IEEE Access
11 (2023)
Kwanyeob Chae
,
Jiyeon Park
,
Jaegeun Song
,
Billy Koo
,
Jihun Oh
,
Shinyoung Yi
,
Won Lee
,
Dongha Kim
,
Taekyung Yeo
,
Kyeongkeun Kang
,
Sangsoo Park
,
Eunsu Kim
,
Sukhyun Jung
,
Sanghune Park
,
Sungcheol Park
,
Mijung Noh
,
Hyo-Gyuem Rhew
,
Jongshin Shin
A 4nm 1.15TB/s HBM3 Interface with Resistor-Tuned Offset-Calibration and In-Situ Margin-Detection.
ISSCC
(2023)
Dongha Kim
,
Yeongbin Jo
,
Taekyung Kim
,
Hokeun Kim
SST v1.0.0 with C API: Pluggable security solution for the Internet of Things.
SoftwareX
22 (2023)
Seungki Hong
,
Dongha Kim
,
Jaehyung Lee
,
Reum Oh
,
Changsik Yoo
,
Sang Joon Hwang
,
Jooyoung Lee
DSAC: Low-Cost Rowhammer Mitigation Using In-DRAM Stochastic and Approximate Counting Algorithm.
CoRR
(2023)
Byeong-Gil Jun
,
Dongha Kim
,
Marten Lohstroh
,
Hokeun Kim
Reliable Event Detection Using Time-Synchronized IoT Platforms.
CPS-IoT Week Workshops
(2023)
Youri Su
,
Sanghun Lee
,
Eunji Song
,
Dongha Kim
,
Jaeduk Han
,
Hokeun Kim
Energy-Efficient Bus Encoding Techniques for Next-Generation PAM-4 DRAM Interfaces.
ICCD
(2022)
Dongha Kim
,
Kunwoong Kim
,
Insung Kong
,
Ilsang Ohn
,
Yongdai Kim
Learning fair representation with a parametric integral probability metric.
CoRR
(2022)
Dongha Kim
,
Kunwoong Kim
,
Insung Kong
,
Ilsang Ohn
,
Yongdai Kim
Learning fair representation with a parametric integral probability metric.
ICML
(2022)
Minwoo Chae
,
Dongha Kim
,
Yongdai Kim
,
Lizhen Lin
A likelihood approach to nonparametric estimation of a singular distribution using deep generative models.
CoRR
(2021)
Dongha Kim
,
Yongdai Kim
Understanding Effects of Architecture Design to Invariance and Complexity in Deep Neural Networks.
IEEE Access
9 (2021)
Yongdai Kim
,
Ilsang Ohn
,
Dongha Kim
Fast convergence rates of deep neural networks for classification.
Neural Networks
138 (2021)
Minjin Kim
,
Young-geun Kim
,
Dongha Kim
,
Yongdai Kim
,
Myunghee Cho Paik
Kernel-convoluted Deep Neural Networks with Data Augmentation.
AAAI
(2021)
Dongha Kim
,
Yongchan Choi
,
Kunwoong Kim
,
Yongdai Kim
INN: A Method Identifying Clean-annotated Samples via Consistency Effect in Deep Neural Networks.
CoRR
(2021)
Dongha Kim
,
Jaesung Hwang
,
Yongdai Kim
On casting importance weighted autoencoder to an EM algorithm to learn deep generative models.
AISTATS
(2020)
Minjin Kim
,
Young-geun Kim
,
Dongha Kim
,
Yongdai Kim
,
Myunghee Cho Paik
Kernel-convoluted Deep Neural Networks with Data Augmentation.
CoRR
(2020)
Dongha Kim
,
JongRoul Woo
,
Jungwoo Shin
,
Jongsu Lee
,
Yongdai Kim
Can search engine data improve accuracy of demand forecasting for new products? Evidence from automotive market.
Ind. Manag. Data Syst.
119 (5) (2019)
Dongha Kim
,
Yongchan Choi
,
Yongdai Kim
Understanding and Improving Virtual Adversarial Training.
CoRR
(2019)
Yongdai Kim
,
Ilsang Ohn
,
Dongha Kim
Fast convergence rates of deep neural networks for classification.
CoRR
(2018)
Yongdai Kim
,
Dongha Kim
On variation of gradients of deep neural networks.
CoRR
(2018)