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researcher

Maria Lavzin

2 papers hereh-index 72.7k citations8 works total

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

fields
  • cs.LG1
  • q-bio.QM1

identity via Semantic Scholar / OpenAlex

most citedHierarchical Coupled Geometry Analysis for Neuronal Structure and Activity Pattern Discovery

38 citations · 39 across the 2 of their papers we have counts for

collaborators

2 papers

cs.LG2023★ 1 cited

Contextual Feature Selection with Conditional Stochastic Gates

Ram Dyuthi Sristi, Ofir Lindenbaum, Shira Lifshitz +4

Feature selection is a crucial tool in machine learning and is widely applied across various scientific disciplines. Traditional supervised methods generally identify a universal s…

q-bio.QM2015★ 38 cited

Hierarchical Coupled Geometry Analysis for Neuronal Structure and Activity Pattern Discovery

Gal Mishne, Ronen Talmon, Ron Meir +3

In the wake of recent advances in experimental methods in neuroscience, the ability to record in-vivo neuronal activity from awake animals has become feasible. The availability of…

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