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Justin N. Wood

4 papers here

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

author position
  • first author1
  • last author3

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

fields
  • cs.AI2
  • cs.CV1
  • q-bio.NC1
ORCID 0000-0002-8383-024X
same name
  • Justin N. Wood — 2 papers, h 26
  • Justin N. Wood — 1 paper, h 5

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20212024
most citedObject permanence in newborn chicks is robust against opposing evidence

36 citations · 58 across the 4 of their papers we have counts for

collaborators

4 papers

q-bio.NC2024★ 36 cited

Object permanence in newborn chicks is robust against opposing evidence

Justin N. Wood, Tomer D. Ullman, Brian W. Wood +2

Newborn animals have advanced perceptual skills at birth, but the nature of this initial knowledge is unknown. Is initial knowledge flexible, continuously adapting to the statistic…

cs.AI2023★ 2 cited

A newborn embodied Turing test for view-invariant object recognition

Denizhan Pak, Donsuk Lee, Samantha M. W. Wood +1

Recent progress in artificial intelligence has renewed interest in building machines that learn like animals. Almost all of the work comparing learning across biological and artifi…

cs.AI2023★ 1 cited

Parallel development of social preferences in fish and machines

Joshua McGraw, Donsuk Lee, Justin Wood

What are the computational foundations of social grouping? Traditional approaches to this question have focused on verbal reasoning or simple (low-dimensional) quantitative models.…

cs.CV2021★ 19 cited

Controlled-rearing studies of newborn chicks and deep neural networks

Donsuk Lee, Pranav Gujarathi, Justin N. Wood

Convolutional neural networks (CNNs) can now achieve human-level performance on challenging object recognition tasks. CNNs are also the leading quantitative models in terms of pred…

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