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Junghyo Jo

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GNRK: Graph Neural Runge-Kutta method for solving partial differential equations

Oct 01, 2023
Hoyun Choi, Sungyeop Lee, B. Kahng, Junghyo Jo

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Understanding the Latent Space of Diffusion Models through the Lens of Riemannian Geometry

Jul 24, 2023
Yong-Hyun Park, Mingi Kwon, Jaewoong Choi, Junghyo Jo, Youngjung Uh

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Tradeoff of generalization error in unsupervised learning

Mar 10, 2023
Gilhan Kim, Hojun Lee, Junghyo Jo, Yongjoo Baek

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Unsupervised Discovery of Semantic Latent Directions in Diffusion Models

Feb 24, 2023
Yong-Hyun Park, Mingi Kwon, Junghyo Jo, Youngjung Uh

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Mirror descent of Hopfield model

Nov 29, 2022
Hyungjoon Soh, Dongyeob Kim, Juno Hwang, Junghyo Jo

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Scale-invariant representation of machine learning

Sep 07, 2021
Sungyeop Lee, Junghyo Jo

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Compression phase is not necessary for generalization in representation learning

Feb 15, 2021
Sungyeop Lee, Junghyo Jo

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Inference of stochastic time series with missing data

Jan 28, 2021
Sangwon Lee, Vipul Periwal, Junghyo Jo

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Tractable loss function and color image generation of multinary restricted Boltzmann machine

Nov 27, 2020
Juno Hwang, Wonseok Hwang, Junghyo Jo

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Machine learning for the diagnosis of early stage diabetes using temporal glucose profiles

May 18, 2020
Woo Seok Lee, Junghyo Jo, Taegeun Song

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