Publication

Preprints

[Pr1] Jongmin Yoon, Juho Lee,
“Sequential Flow Straightening for Generative Modeling”,

International Conferences

[C4] Taehong Moon, Moonseok Choi, EungGu Yun, Jongmin Yoon, Gayoung Lee, Jaewoong Cho, Juho Lee,
“A Simple Early Exiting Framework for Accelerated Sampling in Diffusion Models”,
ICML 2024, Jul 2024
Preliminary version accepted to ICML 2023 SPIGM Workshop

[C3] Hyunsu Kim*, Jongmin Yoon*, Juho Lee,
“Fast Ensembling with Diffusion Schrodinger Bridge”,
ICLR 2024, May 2024

[C2] Giung Nam*, Jongmin Yoon*, Yoonho Lee, Juho Lee,
“Diversity Matters when Learning from Ensembles”,
NeurIPS 2021, Dec 2021

[C1] Jongmin Yoon, Sung Ju Hwang, Juho Lee,
“Adversarial Purifcation with Score-based Generative Models”,
ICML 2021, Jul 2021

International Journals

[J1] Hwan-Jin Song, Soonyoung Roh, Juho Lee, Giung Nam, Eunggu Yun, Jongmin Yoon, Park Sa Kim,
“Benefits of stochastic weight averaging in developing neural network radiation scheme for numerical weather prediction” ,
Journal of Advances in Modeling Earth Systems (JAMES), Oct 2022

Patents

[Pt1] Radar Signal Processing Apparatus and Radar Signal Processing Method, Application Number 10-2019-0140827.

Jongmin Yoon

KAIST AI PhD.


Last modified at:

2024-08-22