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researcher

Dan Gutfreund

3 papers here

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

author position
  • middle author3

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

fields
  • cs.AI1
  • cs.CV1
  • cs.LG1
ORCID 0000-0001-5101-4443

identity via Semantic Scholar / OpenAlex

most citedSolving the Baby Intuitions Benchmark with a Hierarchically Bayesian Theory of Mind

5 citations · 9 across the 3 of their papers we have counts for

collaborators

3 papers

cs.LG2022★ 4 cited

LINKS: A dataset of a hundred million planar linkage mechanisms for data-driven kinematic design

Amin Heyrani Nobari, Akash Srivastava, Dan Gutfreund +1

In this paper, we introduce LINKS, a dataset of 100 million one degree of freedom planar linkage mechanisms and 1.1 billion coupler curves, which is more than 1000 times larger tha…

cs.AI2022★ 5 cited

Solving the Baby Intuitions Benchmark with a Hierarchically Bayesian Theory of Mind

Tan Zhi-Xuan, Nishad Gothoskar, Falk Pollok +3

To facilitate the development of new models to bridge the gap between machine and human social intelligence, the recently proposed Baby Intuitions Benchmark (arXiv:2102.11938) prov…

cs.CV2022

Finding Fallen Objects Via Asynchronous Audio-Visual Integration

Chuang Gan, Yi Gu, Siyuan Zhou +7

The way an object looks and sounds provide complementary reflections of its physical properties. In many settings cues from vision and audition arrive asynchronously but must be in…

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