Joshua B. Tenenbaum

Joshua B. Tenenbaum

Massachusetts Institute of Technology

H-index: 137

North America-United States

About Joshua B. Tenenbaum

Joshua B. Tenenbaum, With an exceptional h-index of 137 and a recent h-index of 115 (since 2020), a distinguished researcher at Massachusetts Institute of Technology, specializes in the field of Cognitive science, artificial intelligence, machine learning, computational neuroscience, cognitive psychology.

His recent articles reflect a diverse array of research interests and contributions to the field:

What Planning Problems Can A Relational Neural Network Solve?

Bayesian models of cognition: reverse engineering the mind

WatChat: Explaining perplexing programs by debugging mental models

Systems and methods for reconstructing a scene in three dimensions from a two-dimensional image

Neural amortized inference for nested multi-agent reasoning

Inferring the future by imagining the past

DiffuseBot: Breeding Soft Robots With Physics-Augmented Generative Diffusion Models

Intuitive physics as probabilistic inference

Joshua B. Tenenbaum Information

University

Massachusetts Institute of Technology

Position

___

Citations(all)

102796

Citations(since 2020)

56564

Cited By

68673

hIndex(all)

137

hIndex(since 2020)

115

i10Index(all)

499

i10Index(since 2020)

427

Email

University Profile Page

Massachusetts Institute of Technology

Joshua B. Tenenbaum Skills & Research Interests

Cognitive science

artificial intelligence

machine learning

computational neuroscience

cognitive psychology

Top articles of Joshua B. Tenenbaum

Title

Journal

Author(s)

Publication Date

What Planning Problems Can A Relational Neural Network Solve?

Advances in Neural Information Processing Systems

Jiayuan Mao

Tomás Lozano-Pérez

Josh Tenenbaum

Leslie Kaelbling

2024/2/13

Bayesian models of cognition: reverse engineering the mind

Thomas L Griffiths

Nick Chater

Joshua B Tenenbaum

2024

WatChat: Explaining perplexing programs by debugging mental models

arXiv preprint arXiv:2403.05334

Kartik Chandra

Tzu-Mao Li

Rachit Nigam

Joshua Tenenbaum

Jonathan Ragan-Kelley

2024/3/8

Systems and methods for reconstructing a scene in three dimensions from a two-dimensional image

2024/1/30

Neural amortized inference for nested multi-agent reasoning

Proceedings of the AAAI Conference on Artificial Intelligence

Kunal Jha

Tuan Anh Le

Chuanyang Jin

Yen-Ling Kuo

Joshua B Tenenbaum

...

2024/3/25

Inferring the future by imagining the past

Advances in Neural Information Processing Systems

Kartik Chandra

Tony Chen

Tzu-Mao Li

Jonathan Ragan-Kelley

Josh Tenenbaum

2024/2/13

DiffuseBot: Breeding Soft Robots With Physics-Augmented Generative Diffusion Models

Advances in Neural Information Processing Systems

Tsun-Hsuan Johnson Wang

Juntian Zheng

Pingchuan Ma

Yilun Du

Byungchul Kim

...

2024/2/13

Intuitive physics as probabilistic inference

KA Smith

JB Hamrick

Adam N Sanborn

PW Battaglia

T Gerstenberg

...

2024

Loose LIPS Sink Ships: Asking Questions in Battleship with Language-Informed Program Sampling

CogSci

Gabriel Grand

Valerio Pepe

Jacob Andreas

Joshua B Tenenbaum

2024

HAZARD Challenge: Embodied Decision Making in Dynamically Changing Environments

ICLR

Qinhong Zhou

Sunli Chen

Yisong Wang

Haozhe Xu

Weihua Du

...

2024/1/23

Generalized planning in pddl domains with pretrained large language models

Proceedings of the AAAI Conference on Artificial Intelligence

Tom Silver

Soham Dan

Kavitha Srinivas

Joshua B Tenenbaum

Leslie Kaelbling

...

2024/3/24

3D-IntPhys: Towards More Generalized 3D-grounded Visual Intuitive Physics under Challenging Scenes

Advances in Neural Information Processing Systems

Haotian Xue

Antonio Torralba

Josh Tenenbaum

Dan Yamins

Yunzhu Li

...

2024/2/13

What’s Left? Concept Grounding with Logic-Enhanced Foundation Models

Advances in Neural Information Processing Systems

Joy Hsu

Jiayuan Mao

Josh Tenenbaum

Jiajun Wu

2024/2/13

Pragmatic Instruction Following and Goal Assistance via Cooperative Language-Guided Inverse Planning

arXiv preprint arXiv:2402.17930

Tan Zhi-Xuan

Lance Ying

Vikash Mansinghka

Joshua B Tenenbaum

2024/2/27

Storytelling as Inverse Inverse Planning

Proceedings of the Annual Meeting of the Cognitive Science Society

Kartik Chandra

Tzu-Mao Li

Josh Tenenbaum

Jonathan Ragan-Kelley

2023

Mmtom-qa: Multimodal theory of mind question answering

arXiv preprint arXiv:2401.08743

Chuanyang Jin

Yutong Wu

Jing Cao

Jiannan Xiang

Yen-Ling Kuo

...

2024/1/16

Dissociating language and thought in large language models

Kyle Mahowald

Anna A Ivanova

Idan A Blank

Nancy Kanwisher

Joshua B Tenenbaum

...

2024/3/19

ContPhy: Continuum Physical Concept Learning and Reasoning from Videos

arXiv preprint arXiv:2402.06119

Zhicheng Zheng

Xin Yan

Zhenfang Chen

Jingzhou Wang

Qin Zhi Eddie Lim

...

2024/2/9

Compositional foundation models for hierarchical planning

Advances in Neural Information Processing Systems

Anurag Ajay

Seungwook Han

Yilun Du

Shuang Li

Abhi Gupta

...

2024/2/13

Grounding Language about Belief in a Bayesian Theory-of-Mind

arXiv preprint arXiv:2402.10416

Lance Ying

Tan Zhi-Xuan

Lionel Wong

Vikash Mansinghka

Joshua Tenenbaum

2024/2/16

See List of Professors in Joshua B. Tenenbaum University(Massachusetts Institute of Technology)

Joshua B. Tenenbaum FAQs

What is Joshua B. Tenenbaum's h-index at Massachusetts Institute of Technology?

The h-index of Joshua B. Tenenbaum has been 115 since 2020 and 137 in total.

What are Joshua B. Tenenbaum's top articles?

The articles with the titles of

What Planning Problems Can A Relational Neural Network Solve?

Bayesian models of cognition: reverse engineering the mind

WatChat: Explaining perplexing programs by debugging mental models

Systems and methods for reconstructing a scene in three dimensions from a two-dimensional image

Neural amortized inference for nested multi-agent reasoning

Inferring the future by imagining the past

DiffuseBot: Breeding Soft Robots With Physics-Augmented Generative Diffusion Models

Intuitive physics as probabilistic inference

...

are the top articles of Joshua B. Tenenbaum at Massachusetts Institute of Technology.

What are Joshua B. Tenenbaum's research interests?

The research interests of Joshua B. Tenenbaum are: Cognitive science, artificial intelligence, machine learning, computational neuroscience, cognitive psychology

What is Joshua B. Tenenbaum's total number of citations?

Joshua B. Tenenbaum has 102,796 citations in total.

What are the co-authors of Joshua B. Tenenbaum?

The co-authors of Joshua B. Tenenbaum are William T. Freeman, Antonio Torralba, Ruslan Salakhutdinov, Thomas L. Griffiths, Noah D. Goodman, Samuel Gershman.

Co-Authors

H-index: 141
William T. Freeman

William T. Freeman

Massachusetts Institute of Technology

H-index: 138
Antonio Torralba

Antonio Torralba

Massachusetts Institute of Technology

H-index: 115
Ruslan Salakhutdinov

Ruslan Salakhutdinov

Carnegie Mellon University

H-index: 110
Thomas L. Griffiths

Thomas L. Griffiths

Princeton University

H-index: 76
Noah D. Goodman

Noah D. Goodman

Stanford University

H-index: 72
Samuel Gershman

Samuel Gershman

Harvard University

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