Author

Mariano Tepper

Flatiron InstituteORCID 0000-0001-6053-925XUnclaimed 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 Approach:machine learning (classical)· 1 Approach:statistical model· 1

Frequent Co-Authors

Alexander GenkiniD· 1 shared Anirvan M. SenguptaiD· 1 shared Cengiz PehlevaniD· 1 shared Christopher R. GignouxiD· 1 shared Dmitri B. ChklovskiiiD· 1 shared Jawad Khan· 1 shared Jonathan ShorttiD· 1 shared Kristen SchneideriD· 1 shared

Activity by Year

2018-2024 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 21 mutual co-author links

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1 shared paperNeuroscience

Alexander GenkinORCID

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2 papers

Recent·Most cited

BioinformaticsbioRxivPreprintNov 2, 2024

GenoSiS: A Biobank-Scale Genotype Similarity Search Architecture for Creating Dynamic Patient-Match Cohorts

Kristen Schneider, Murad Chowdhury, Mariano Tepper…·Ryan M. Layer

GenoSiS dynamically finds patient-matched cohorts across populations using genotype similarity search to improve clinical analyses.

DOI 10.1101/2024.11.02.621671

machine learning (classical)benchmarking

𝕏 PostBluesky

NeurosciencebioRxivPreprintDec 2, 2018

Manifold-tiling Localized Receptive Fields are Optimal in Similarity-preserving Neural Networks

Anirvan M. Sengupta, Mariano Tepper, Cengiz Pehlevan…·Dmitri B. Chklovskii

The paper shows that similarity-preserving neural networks develop localized receptive fields that tile manifolds, mirroring brain representations like place cells.

35 citations

statistical model

𝕏 PostBluesky