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researcher

Uygar Sümbül

4 papers here

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • last author3

Across the 3 of 4 papers where every author was matched, so the position is known.

fields
  • q-bio.NC3
  • cs.LG1
ORCID 0000-0001-7134-8897

identity via Semantic Scholar / OpenAlex

activity
20162026
most citedAutomated scalable segmentation of neurons from multispectral images

18 citations · 19 across the 4 of their papers we have counts for

collaborators

4 papers

cs.LG2026

A Biconvex Formulation for Stable Transport of Mixture Models with a Unique Solution

Yeganeh Marghi, Kelly Jin, Uygar Sümbül

Optimal transport (OT) provides a principled framework for mapping between probability distributions. Despite extensive progress, applying OT to large-scale data remains computatio…

q-bio.NC2026

Identifying Connectivity Distributions from Neural Dynamics Using Flows

Timothy Doyeon Kim, Ulises Pereira-Obilinovic, Yiliu Wang +2

Connectivity structure shapes neural computation, but inferring this structure from population recordings is degenerate: multiple connectivity structures can generate identical dyn…

q-bio.NC2023★ 1 cited

Learning Time-Invariant Representations for Individual Neurons from Population Dynamics

Lu Mi, Trung Le, Tianxing He +2

Neurons can display highly variable dynamics. While such variability presumably supports the wide range of behaviors generated by the organism, their gene expressions are relativel…

q-bio.NC2016★ 18 cited

Automated scalable segmentation of neurons from multispectral images

Uygar Sümbül, Douglas Roussien, Fei Chen +5

Reconstruction of neuroanatomy is a fundamental problem in neuroscience. Stochastic expression of colors in individual cells is a promising tool, although its use in the nervous sy…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.