Junghyo Jo

According to our database1, Junghyo Jo authored at least 15 papers between 2009 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Resolution Chromatography of Diffusion Models.
CoRR, 2024

2023
Mirror Descent of Hopfield Model.
Neural Comput., September, 2023

GNRK: Graph Neural Runge-Kutta method for solving partial differential equations.
CoRR, 2023

Tradeoff of generalization error in unsupervised learning.
CoRR, 2023

Unsupervised Discovery of Semantic Latent Directions in Diffusion Models.
CoRR, 2023

Understanding the Latent Space of Diffusion Models through the Lens of Riemannian Geometry.
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.
Entropy, 2021

Scale-invariant representation of machine learning.
CoRR, 2021

Compression phase is not necessary for generalization in representation learning.
CoRR, 2021

2020
Tractable loss function and color image generation of multinary restricted Boltzmann machine.
CoRR, 2020

Machine learning for the diagnosis of early stage diabetes using temporal glucose profiles.
CoRR, 2020

2019
Inverse Ising inference from high-temperature re-weighting of observations.
CoRR, 2019

2017
Emergence and Relevance of Criticality in Deep Learning.
CoRR, 2017

2015
Minimal Perceptrons for Memorizing Complex Patterns.
CoRR, 2015

2009
Hypertrophy and/or Hyperplasia: Dynamics of Adipose Tissue Growth.
PLoS Comput. Biol., 2009


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