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J. Tenenbaum

232 papers hereh-index 14097.8k citations785 works total

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

author position
  • middle author161
  • last author68

Across the 229 of 232 papers where every author was matched, so the position is known.

fields
  • cs.CV72
  • cs.AI62
  • cs.LG46
  • cs.RO23
  • cs.CL12
  • cs.PL4
same name
  • J. Tenenbaum — 6 papers, h 12
  • J. Tenenbaum — 1 paper, h 2
  • J. Tenenbaum — 1 paper, h 25

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
20122023
most citedLearning a Probabilistic Latent Space of Object Shapes via 3D Generative-Adversarial Modeling

1.6k citations · 9.7k across the 222 of their papers we have counts for

collaborators
Showing 2014Show all

4 papers · 1 filter

cs.AI2014★ 8 cited

When Computer Vision Gazes at Cognition

Tao Gao, Daniel Harari, Joshua Tenenbaum +1

Joint attention is a core, early-developing form of social interaction. It is based on our ability to discriminate the third party objects that other people are looking at. While i…

cs.CV2014★ 14 cited

Inverse Graphics with Probabilistic CAD Models

Tejas D. Kulkarni, Vikash K. Mansinghka, Pushmeet Kohli +1

Recently, multiple formulations of vision problems as probabilistic inversions of generative models based on computer graphics have been proposed. However, applications to 3D perce…

cs.SI2014

Popularity and Performance: A Large-Scale Study

Peter Krafft, Julia Zheng, Erez Shmueli +3

Social scientists have long sought to understand why certain people, items, or options become more popular than others. One seemingly intuitive theory is that inherent value drives…

stat.ML2014★ 80 cited

Automatic Construction and Natural-Language Description of Nonparametric Regression Models

James Robert Lloyd, David Duvenaud, Roger Grosse +2

This paper presents the beginnings of an automatic statistician, focusing on regression problems. Our system explores an open-ended space of statistical models to discover a good e…

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