Author

Young-Geun Kim

Columbia University Irving Medical CenterORCID 0000-0001-8910-1227Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1 Neuroscience· 1

Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 1 Research Focus:cell type annotation· 1 Research Focus:clustering· 1 Research Focus:differential expression· 1 Research Focus:dimensionality reduction· 1 Organism:human· 1 Assay:imaging· 1 Approach:machine learning (classical)· 1

Frequent Co-Authors

Orren Ravid· 1 shared Seonjoo LeeiD· 1 shared Soohyun KimiD· 1 shared Xi ZhuiD· 1 shared Xiaofu HeiD· 1 shared Xinyuan ZhengiD· 1 shared Yoojean Kim· 1 shared Yuanjia WangiD· 1 shared

Activity by Year

2023-2024 · peak 1/yr

Co-Author Collaboration Network

9 top collaborators · 22 mutual co-author links

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1 shared paperNeuroscience

Orren Ravid

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2 papers

Recent·Most cited

NeuroscienceFrontiers in PsychiatryPeer-reviewedMay 20, 2024

Explaining Deep Learning-Based Representations of Resting State Functional Connectivity Data: Focusing on Interpreting Nonlinear Patterns in Autism Spectrum Disorder

Young-Geun Kim, Orren Ravid, Xinyuan Zheng…·Xi Zhu

This paper introduces explainable variational autoencoders to interpret nonlinear patterns in resting state fMRI data from autism spectrum disorder and control groups.

9 citations

humanimaging

𝕏 PostBluesky

BioinformaticsbioRxivPreprintSep 13, 2023

Temporal Generative Models for Learning Heterogeneous Group Dynamics of Ecological Momentary Data

Soohyun Kim, Young-Geun Kim, Yuanjia Wang

This paper introduces HDRBM, a temporal generative model that learns heterogeneous group dynamics from ecological momentary assessment data, improving accuracy and interpretability with covariates.

DOI 10.1101/2023.09.13.557652

statistical modelmachine learning (classical)

𝕏 PostBluesky