Junghyo Jo

According to our database, Junghyo Jo authored at least 19 papers between 2009 and 2024.

Collaborative distances:

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

2024

Direct Unlearning Optimization for Robust and Safe Text-to-Image Models.

Yong-Hyun Park, Sangdoo Yun, Jin-Hwa Kim, Junho Kim, Geonhui Jang, Yonghyun Jeong, Junghyo Jo, Gayoung Lee

CoRR, 2024

Geometric Remove-and-Retrain (GOAR): Coordinate-Invariant eXplainable AI Assessment.

Yong-Hyun Park, Junghoon Seo, Bomseok Park, Seongsu Lee, Junghyo Jo

CoRR, 2024

Annealing approach to root-finding.

Junghyo Jo, Alexandre Wagemakers, Vipul Periwal

CoRR, 2024

Upsample Guidance: Scale Up Diffusion Models without Training.

Juno Hwang, Yong-Hyun Park, Junghyo Jo

CoRR, 2024

Resolution Chromatography of Diffusion Models.

Juno Hwang, Yong-Hyun Park, Junghyo Jo

CoRR, 2024

2023

Mirror Descent of Hopfield Model.

Hyungjoon Soh, Dongyeob Kim, Juno Hwang, Junghyo Jo

Neural Comput., September, 2023

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

Hoyun Choi, Sungyeop Lee, B. Kahng, Junghyo Jo

CoRR, 2023

Tradeoff of generalization error in unsupervised learning.

Gilhan Kim, Hojun Lee, Junghyo Jo, Yongjoo Baek

CoRR, 2023

Unsupervised Discovery of Semantic Latent Directions in Diffusion Models.

Yong-Hyun Park, Mingi Kwon, Junghyo Jo, Youngjung Uh

CoRR, 2023

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

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

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2021

Information Flows of Diverse Autoencoders.

Sungyeop Lee, Junghyo Jo

Entropy, 2021

Scale-invariant representation of machine learning.

Sungyeop Lee, Junghyo Jo

CoRR, 2021

Compression phase is not necessary for generalization in representation learning.

Sungyeop Lee, Junghyo Jo

CoRR, 2021

2020

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

Juno Hwang, Wonseok Hwang, Junghyo Jo

CoRR, 2020

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

Woo-Seok Lee, Junghyo Jo, Taegeun Song

CoRR, 2020

2019

Inverse Ising inference from high-temperature re-weighting of observations.

Junghyo Jo, Danh-Tai Hoang, Vipul Periwal

CoRR, 2019

2017

Emergence and Relevance of Criticality in Deep Learning.

Juyong Song, Matteo Marsili, Junghyo Jo

CoRR, 2017

2015

Minimal Perceptrons for Memorizing Complex Patterns.

Marissa Pastor, Juyong Song, Danh-Tai Hoang, Junghyo Jo

CoRR, 2015

2009

Hypertrophy and/or Hyperplasia: Dynamics of Adipose Tissue Growth.

Junghyo Jo, Oksana Gavrilova, Stephanie Pack, William Jou, Shawn Mullen, Anne E. Sumner, Samuel W. Cushman, Vipul Periwal

PLoS Comput. Biol., 2009