Dongha Kim

Orcid: 0000-0001-7660-9646

According to our database¹, Dongha Kim authored at least 20 papers between 2018 and 2024.

Collaborative distances:

Dijkstra number² of five.
Erdős number³ of five.

Timeline

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On csauthors.net:

Bibliography

2024

A 4-nm 1.15 TB/s HBM3 Interface With Resistor-Tuned Offset Calibration and In Situ Margin Detection.

[BibT_eX]

[DOI]

IEEE J. Solid State Circuits, January, 2024

Optimizing Quantum Convolutional Neural Network Architectures for Arbitrary Data Dimension.

[BibT_eX]

[DOI]

CoRR, 2024

IOFM: Using the Interpolation Technique on the Over-Fitted Models to Identify Clean-Annotated Samples.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

SST v1.0.0 with C API: Pluggable security solution for the Internet of Things.

[BibT_eX]

[DOI]

SoftwareX, May, 2023

A Likelihood Approach to Nonparametric Estimation of a Singular Distribution Using Deep Generative Models.

[BibT_eX]

[DOI]

J. Mach. Learn. Res., 2023

DSAC: Low-Cost Rowhammer Mitigation Using In-DRAM Stochastic and Approximate Counting Algorithm.

[BibT_eX]

[DOI]

CoRR, 2023

ODIM: an efficient method to detect outliers via inlier-memorization effect of deep generative models.

[BibT_eX]

[DOI]

CoRR, 2023

An Efficient Multi-Scale Feature Compression With QP-Adaptive Feature Channel Truncation for Video Coding for Machines.

[BibT_eX]

[DOI]

IEEE Access, 2023

A 4nm 1.15TB/s HBM3 Interface with Resistor-Tuned Offset-Calibration and In-Situ Margin-Detection.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Solid- State Circuits Conference, 2023

Reliable Event Detection Using Time-Synchronized IoT Platforms.

[BibT_eX]

[DOI]

Proceedings of Cyber-Physical Systems and Internet of Things Week 2023, 2023

2022

Learning fair representation with a parametric integral probability metric.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2022

Energy-Efficient Bus Encoding Techniques for Next-Generation PAM-4 DRAM Interfaces.

[BibT_eX]

[DOI]

Proceedings of the IEEE 40th International Conference on Computer Design, 2022

2021

Fast convergence rates of deep neural networks for classification.

[BibT_eX]

[DOI]

Yongdai Kim

Ilsang Ohn

Dongha Kim

Neural Networks, 2021

INN: A Method Identifying Clean-annotated Samples via Consistency Effect in Deep Neural Networks.

[BibT_eX]

[DOI]

CoRR, 2021

Understanding Effects of Architecture Design to Invariance and Complexity in Deep Neural Networks.

[BibT_eX]

[DOI]

Dongha Kim

Yongdai Kim

IEEE Access, 2021

Kernel-convoluted Deep Neural Networks with Data Augmentation.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

On casting importance weighted autoencoder to an EM algorithm to learn deep generative models.

[BibT_eX]

[DOI]

Dongha Kim

Jaesung Hwang

Yongdai Kim

Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

2019

Can search engine data improve accuracy of demand forecasting for new products? Evidence from automotive market.

[BibT_eX]

[DOI]

Ind. Manag. Data Syst., 2019

Understanding and Improving Virtual Adversarial Training.

[BibT_eX]

[DOI]

Dongha Kim

Yongchan Choi

Yongdai Kim

CoRR, 2019

2018

On variation of gradients of deep neural networks.

[BibT_eX]

[DOI]

Yongdai Kim

Dongha Kim

CoRR, 2018

Dongha Kim

Timeline

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