Junghyo Jo

Publication Activity (10 Years)

Years Active: 2009-2024
Publications (10 Years): 19

Top Topics

Unsupervised Learning

Generalization Error

Machine Learning

Diffusion Models

Top Venues

Publications

Junghyo Jo, Alexandre Wagemakers, Vipul Periwal
Annealing approach to root-finding. CoRR (2024)
Juno Hwang, Yong-Hyun Park, Junghyo Jo
Resolution Chromatography of Diffusion Models. CoRR (2024)
Yong-Hyun Park, Junghoon Seo, Bomseok Park, Seongsu Lee, Junghyo Jo
Geometric Remove-and-Retrain (GOAR): Coordinate-Invariant eXplainable AI Assessment. CoRR (2024)
Juno Hwang, Yong-Hyun Park, Junghyo Jo
Upsample Guidance: Scale Up Diffusion Models without Training. CoRR (2024)
Yong-Hyun Park, Sangdoo Yun, Jin-Hwa Kim, Junho Kim, Geonhui Jang, Yonghyun Jeong, Junghyo Jo, Gayoung Lee
Direct Unlearning Optimization for Robust and Safe Text-to-Image Models. CoRR (2024)
Yong-Hyun Park, Mingi Kwon, Junghyo Jo, Youngjung Uh
Unsupervised Discovery of Semantic Latent Directions in Diffusion Models. CoRR (2023)
Hyungjoon Soh, Dongyeob Kim, Juno Hwang, Junghyo Jo
Mirror Descent of Hopfield Model. Neural Comput. 35 (9) (2023)
Yong-Hyun Park, Mingi Kwon, Jaewoong Choi, Junghyo Jo, Youngjung Uh
Understanding the Latent Space of Diffusion Models through the Lens of Riemannian Geometry. CoRR (2023)
Hoyun Choi, Sungyeop Lee, B. Kahng, Junghyo Jo
GNRK: Graph Neural Runge-Kutta method for solving partial differential equations. CoRR (2023)
Gilhan Kim, Hojun Lee, Junghyo Jo, Yongjoo Baek
Tradeoff of generalization error in unsupervised learning. CoRR (2023)
Yong-Hyun Park, Mingi Kwon, Jaewoong Choi, Junghyo Jo, Youngjung Uh
Understanding the Latent Space of Diffusion Models through the Lens of Riemannian Geometry. NeurIPS (2023)
Hyungjoon Soh, Dongyeob Kim, Juno Hwang, Junghyo Jo
Mirror descent of Hopfield model. CoRR (2022)
Sungyeop Lee, Junghyo Jo
Information Flows of Diverse Autoencoders. Entropy 23 (7) (2021)
Sungyeop Lee, Junghyo Jo
Scale-invariant representation of machine learning. CoRR (2021)
Sungyeop Lee, Junghyo Jo
Compression phase is not necessary for generalization in representation learning. CoRR (2021)
Juno Hwang, Wonseok Hwang, Junghyo Jo
Tractable loss function and color image generation of multinary restricted Boltzmann machine. CoRR (2020)
Woo-Seok Lee, Junghyo Jo, Taegeun Song
Machine learning for the diagnosis of early stage diabetes using temporal glucose profiles. CoRR (2020)
Junghyo Jo, Danh-Tai Hoang, Vipul Periwal
Inverse Ising inference from high-temperature re-weighting of observations. CoRR (2019)
Juyong Song, Matteo Marsili, Junghyo Jo
Emergence and Relevance of Criticality in Deep Learning. CoRR (2017)
Marissa Pastor, Juyong Song, Danh-Tai Hoang, Junghyo Jo
Minimal Perceptrons for Memorizing Complex Patterns. CoRR (2015)
Junghyo Jo, Oksana Gavrilova, Stephanie Pack, William Jou, Shawn Mullen, Anne E. Sumner, Samuel W. Cushman, Vipul Periwal
Hypertrophy and/or Hyperplasia: Dynamics of Adipose Tissue Growth. PLoS Comput. Biol. 5 (3) (2009)