Author

Chi-Heng Lin

Georgia Institute of Technology

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Neuroscience· 1

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Research Focus:clustering· 1 Research Focus:dimensionality reduction· 1 Assay:electronic health records· 1 Research Focus:gene regulatory network inference· 1 Organism:non-human primate· 1 Approach:statistical model· 1 Research Focus:trajectory inference· 1 Approach:variational autoencoder· 1

Frequent Co-Authors

Eva L. DyeriD· 1 shared Keith B. HengeniD· 1 shared Max Dabagia· 1 shared Mehdi Azabou· 1 shared Michal ValkoiD· 1 shared Mohammad Gheshlaghi Azar· 1 shared Ran LiuiD· 1 shared

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2021-2021 · peak 1/yr

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7 top collaborators · 21 mutual co-author links

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1 shared paperNeuroscience

Eva L. DyerORCID

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1 paper

Recent·Most cited

Drop, Swap, and Generate: A Self-Supervised Approach for Generating Neural Activity

Ran Liu, Mehdi Azabou, Max Dabagia, Chi-Heng Lin, Mohammad Gheshlaghi Azar, Keith B. Hengen, Michal Valko, Eva L. Dyer

This paper introduces Swap-VAE, an unsupervised method for learning disentangled neural activity representations using self-supervised learning on neural recordings.

bioRxiv · Jul 21, 2021 · PreprintNeuroscience