Luciano Dyballa

ORCID: 0000-0003-1996-2173

Also affiliated with Yale University, Artificial Intelligence in Medicine (Canada)

NeuroscienceComputer Science

Pilot corpus only

This score is computed over theSindex pilot corpus and does not cover the full scientific literature. Scores are relative to papers we have ingested — papers, authors, and institutions outside the pilot are not represented. Methodology.

Top 100%percentile

0Author DataRank

Indexed papers

0in pilot corpus

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Papers

Driven by 4 papers. Top paper: “IAN: Iterated Adaptive Neighborhoods for Manifold Learning and Dimensionality Estimation”.

IAN: Iterated Adaptive Neighborhoods for Manifold Learning and Dimensionality Estimation

Neural Computation(2023)10.1162/neco_a_01566

N/A

0DataRank · unranked

9 citations

Steven W. Zucker, Luciano Dyballa

Functional organization and natural scene responses across mouse visual cortical areas revealed with encoding manifolds

bioRxiv (Cold Spring Harbor Laboratory)(2024)10.1101/2024.10.24.620089

N/A

0DataRank · unranked

1 citations

Greg D. Field, Michael P. Stryker, Steven W. Zucker, Luciano Dyballa

Zero-shot generalization across architectures for visual classification

arXiv (Cornell University)(2024)10.48550/arxiv.2402.14095

N/A

0DataRank · unranked

0 citations

Luciano Dyballa, Steven W. Zucker, Gerritz, Evan

A separability-based approach to quantifying generalization: which layer is best?

arXiv (Cornell University)(2024)10.48550/arxiv.2405.01524

N/A

0DataRank · unranked

0 citations

Evan Gerritz, Steven W. Zucker, Luciano Dyballa