Yeongmin Kim

According to our database, Yeongmin Kim authored at least 15 papers between 2007 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Diffusion Bridge AutoEncoders for Unsupervised Representation Learning.

Yeongmin Kim, Kwanghyeon Lee, Minsang Park, Byeonghu Na, Il-Chul Moon

CoRR, 2024

Diffusion Rejection Sampling.

Byeonghu Na, Yeongmin Kim, Minsang Park, DongHyeok Shin, Wanmo Kang, Il-Chul Moon

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Label-Noise Robust Diffusion Models.

Byeonghu Na, Yeongmin Kim, HeeSun Bae, Jung Hyun Lee, Se Jung Kwon, Wanmo Kang, Il-Chul Moon

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Training Unbiased Diffusion Models From Biased Dataset.

Yeongmin Kim, Byeonghu Na, Minsang Park, JoonHo Jang, Dongjun Kim, Wanmo Kang, Il-Chul Moon

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Reward-based Input Construction for Cross-document Relation Extraction.

Byeonghu Na, Suhyeon Jo, Yeongmin Kim, Il-Chul Moon

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023

A 45.8dB-SNR 120fps 100pF-Load Self-Capacitance Touch-Screen Controller with Enhanced In-Band Common Noise Immunity Using Noise Antenna Reference.

San-Ho Byun, Heejin Lee, Tae-Gyun Song, Jinchul Lee, Jongmin Baek, Gyeongmin Ha, Seunghoon Baek, Yeongmin Kim, Won-Gab Jung, Hyun-Wook Lim, Siwoo Kim, Jae-Youl Lee

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

Refining Generative Process with Discriminator Guidance in Score-based Diffusion Models.

Dongjun Kim, Yeongmin Kim, Se Jung Kwon, Wanmo Kang, Il-Chul Moon

Proceedings of the International Conference on Machine Learning, 2023

SAAL: Sharpness-Aware Active Learning.

Yoon-Yeong Kim, Youngjae Cho, JoonHo Jang, Byeonghu Na, Yeongmin Kim, Kyungwoo Song, Wanmo Kang, Il-Chul Moon

Proceedings of the International Conference on Machine Learning, 2023

2022

Refining Generative Process with Discriminator Guidance in Score-based Diffusion Models.

Dongjun Kim, Yeongmin Kim, Wanmo Kang, Il-Chul Moon

CoRR, 2022

AltUB: Alternating Training Method to Update Base Distribution of Normalizing Flow for Anomaly Detection.

Yeongmin Kim, Huiwon Jang, Dongkeon Lee, Ho-Jin Choi

CoRR, 2022

Evaluation and validation of an artificial neural network for predicting the performance of a desiccant coated heat exchanger.

Yeongmin Kim, Yoon Jung Ko, Seung Jin Oh

Proceedings of the IEEE International Conference on Big Data, 2022

2021

Predict Sequential Credit Card Delinquency with VaDE-Seq2Seq.

Yeongmin Kim, Youngjae Cho, Hanbit Lee, Il-Chul Moon

Proceedings of the 2021 IEEE International Conference on Systems, Man, and Cybernetics, 2021

2020

CPU-Accelerator Co-Scheduling for CNN Acceleration at the Edge.

Yeongmin Kim, Joonho Kong, Arslan Munir

IEEE Access, 2020

2017

A research on the postural stability of a person wearing the lower limb exoskeletal robot by the HAT model.

Minsu Chang, Yeongmin Kim, Yoseph Lee, Doyoung Jeon

Proceedings of the International Conference on Rehabilitation Robotics, 2017

2007

Road oundary detection with double filtering for intelligent vehicle.

Haiping Lin, Suhong Ko, Hyongsuk Kim, Yeongmin Kim

Proceedings of the IEEE International Conference on Robotics and Biomimetics, 2007