Author

Akash Srivastava

IBM (United States)ORCID 0000-0002-6218-1770Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Research Focus:cell type annotation· 1 Research Focus:clustering· 1 Approach:contrastive learning· 1 Research Focus:differential expression· 1 Research Focus:dimensionality reduction· 1 Assay:electronic health records· 1

Frequent Co-Authors

Ankit VishnubhotlaiD· 1 shared Charlotte LohiD· 1 shared Cole HurwitziD· 1 shared Liam PaninskiiD· 1 shared

Activity by Year

2023-2023 · peak 1/yr

Co-Author Collaboration Network

4 top collaborators · 6 mutual co-author links

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1 shared paperNeuroscience

Ankit VishnubhotlaORCID

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1 paper

Recent·Most cited

NeurosciencebioRxivPreprintOct 30, 2023

Towards robust and generalizable representations of extracellular data using contrastive learning

Ankit Vishnubhotla, Charlotte Loh, Liam Paninski…·Cole Hurwitz

This work introduces a contrastive learning framework for extracellular data, showing improved performance over specialized methods in spike sorting and cell-type classification.

1 citation

electronic health recordscontrastive learning

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