a person in the record
Joshua B. Tenenbaum
American professor of cognitive scienceborn 1972
Supervised 32 doctoral students (61 students at any level) at Massachusetts Institute of Technology; doctorate at Massachusetts Institute of Technology in 1999 under Whitman A. Richards; Wikidata names Whitman Richards as doctoral advisor and lists 5 doctoral students. Linked to Wikidata, OpenAlex, and 7 other registers.
How to read the markscited by a repository's recordstated by Wikidata or indexed by OpenAlexclaimed on an ORCID list, or inferred
Advisors1
The thesis record names Whitman A. Richards; Wikidata names Whitman Richards.
- cited by a thesis record
Whitman A. Richards“A Bayesian framework for concept learning”
1999 · Massachusetts Institute of Technology · doctoral
Students61
- cited by a thesis record
Arijit Dasgupta“Uncertainty-aware Joint Physical Tracking and Prediction”
2025 · Massachusetts Institute of Technology · master's - cited by a thesis record
Nishad Gothoskar“Scaling 3D Scene Perception via Probabilistic Programming”
2025 · Massachusetts Institute of Technology · doctoral - cited by a thesis record
Alex K. Lew“Automatic Integration and Differentiation of Probabilistic Programs”
2025 · Massachusetts Institute of Technology · doctoral - cited by a thesis record
Eric Li“Modeling Dynamic Objects in Scenes with Generative Particle Systems”
2025 · Massachusetts Institute of Technology · master's - cited by a thesis record
João Loula Guimarães de Campos“Scaling Bayesian inference for generative models via probabilistic programming”
2025 · Massachusetts Institute of Technology · doctoral - cited by a thesis record
Tan Zhi-Xuan“Scaling Cooperative Intelligence via Inverse Planning and Probabilistic Programming”
2025 · Massachusetts Institute of Technology · doctoral - cited by a thesis record
Samuel Acquaviva“Overcoming the Expressivity-Efficiency Tradeoff in Program Induction”
2024 · Massachusetts Institute of Technology · master's - cited by a thesis record
Tom Silver“Neuro-Symbolic Learning for Bilevel Robot Planning”
2024 · Massachusetts Institute of Technology · doctoral - cited by a thesis record
Lionel Catherine Wong“From Words to Worlds: Bridging Language and Thought”
2024 · Massachusetts Institute of Technology · doctoral - cited by a thesis record
Riya Arora“Understanding Human Perception Through MooneyFaces”
2023 · Massachusetts Institute of Technology · master's - cited by a thesis record
Aidan Curtis“Object-Centric Planning for Long-Horizon Robotic Manipulation and Navigation”
2023 · Massachusetts Institute of Technology · master's - cited by a thesis record
Gabriel J. Grand“Discovering Abstractions from Language via Neurosymbolic Program Synthesis”
2023 · Massachusetts Institute of Technology · master's - cited by a thesis record
Jocelin Su“Unsupervised Compositional Image Decompositionwith Diffusion Models”
2023 · Massachusetts Institute of Technology · master's - cited by a thesis record
Megan Wei“Composing Visual Relations with Composable Diffusion Models”
2023 · Massachusetts Institute of Technology · master's - cited by a thesis record2022 · Massachusetts Institute of Technology · doctoral
- cited by a thesis record
Andres Campero Nuñez“Combining Diverse Forms of Human and Machine Intelligence”
2022 · Massachusetts Institute of Technology · doctoral - cited by a thesis record
Ria A. Das“Combining Functional and Automata Synthesis to Learn Causal Reactive Programs”
2022 · Massachusetts Institute of Technology · master's - cited by a thesis record
Shreyas Kapur“Inferring Structured World Models from Videos”
2022 · Massachusetts Institute of Technology · master's - cited by a thesis record
Lingjie Mei“FALCON: Fast Visual Concept Learning by Integrating Images, Linguistic descriptions, and Conceptual Relations”
2022 · Massachusetts Institute of Technology · master's - cited by a thesis record2022 · Massachusetts Institute of Technology · doctoral
- cited by a thesis record
Theodoros Sechopoulos“Program Synthesis with Symbolic Properties”
2022 · Massachusetts Institute of Technology · master's - cited by a thesis record
Suhyoun Yu“Study of Human Behavioral Models for Engineering Applications”
2022 · Massachusetts Institute of Technology · doctoral - cited by a thesis record
Kelsey Rebecca Allen“Learning to act with objects, relations and physics”
2021 · Massachusetts Institute of Technology · doctoral - cited by a thesis record
Sarah Elizabeth Schwettmann“Generalizable Representations for Vision in Biological and Artificial Neural Networks”
2021 · Massachusetts Institute of Technology · doctoral - cited by a thesis record
Jiayuan Mao“Learning, Reasoning, and Planning with Relational and Temporal Neural Networks”
2021 · Massachusetts Institute of Technology · master's - cited by a thesis record2020 · Massachusetts Institute of Technology · master's
- cited by a thesis record2020 · Massachusetts Institute of Technology · doctoral
- cited by a thesis record
Jonathan Matthew Malmaud“Enriching models of natural language with auxiliary data”
2020 · Massachusetts Institute of Technology · doctoral - cited by a thesis record
Joshua S. Rule“The child as hacker : building more human-like models of learning”
2020 · Massachusetts Institute of Technology · doctoral - cited by a thesis record
Samuel C. Tenka“A perturbative analysis of stochastic descent”
2020 · Massachusetts Institute of Technology · master's - cited by a thesis record
Anurag Ajay“Augmenting physics simulators with neural networks for model learning and control”
2019 · Massachusetts Institute of Technology · master's - cited by a thesis record
William R. Hartman“Uncovering brain-like computations for natural language processing”
2019 · Massachusetts Institute of Technology · master's - cited by a thesis record
Max Harmon Siegel“Compositional simulation in perception and cognition”
2019 · Massachusetts Institute of Technology · doctoral - cited by a thesis record
Pedro A. Tsividis“Theory-based learning in humans and machines”
2019 · Massachusetts Institute of Technology · doctoral - cited by a thesis record2018 · Massachusetts Institute of Technology · doctoral
- cited by a thesis record
Max Kleiman-Weiner“Computational foundations of human social intelligence”
2018 · Massachusetts Institute of Technology · doctoral - cited by a thesis record2018 · Massachusetts Institute of Technology · doctoral
- cited by a thesis record
Lucas Eduardo Morales“On the representation and learning of concepts : programs, types, and bayes”
2018 · Massachusetts Institute of Technology · master's - cited by a thesis record
Shraman Ray Chaudhuri“Reasoning about objects under full occlusion”
2018 · Massachusetts Institute of Technology · master's - cited by a thesis record
Ardavan Saeedi“Latent variable models for understanding user behavior in software applications”
2018 · Massachusetts Institute of Technology · doctoral - cited by a thesis record
Michael M Shum“Cooperate to compete : composable planning and inference in multi-agent reinforcement learning”
2018 · Massachusetts Institute of Technology · master's - cited by a thesis record
Chengkai Zhang“Generative adversarial modeling of 3D shapes”
2018 · Massachusetts Institute of Technology · master's - cited by a thesis record
Lily Zhang“Cooperation and competition : modeling intention and behavior in dual-agent interactions”
2018 · Massachusetts Institute of Technology · master's - cited by a thesis record
Vlad Firoiu“Beating the world's best at Super Smash Bros. with deep reinforcement learning”
2017 · Massachusetts Institute of Technology · master's - cited by a thesis record
Peter M. Krafft“A rational choice framework for collective behavior”
2017 · Massachusetts Institute of Technology · doctoral - cited by a thesis record2017 · Massachusetts Institute of Technology · doctoral
- cited by a thesis record
Tejas Dattatraya Kulkarni“Learning structured representations for perception and control”
2016 · Massachusetts Institute of Technology · doctoral - cited by a thesis record
William Whitney“Disentangled representations in neural models”
2016 · Massachusetts Institute of Technology · master's - cited by a thesis record
Jiajun Wu“Computational perception of physical object properties”
2016 · Massachusetts Institute of Technology · master's - cited by a thesis record
Andreas Stuhlmüller“Modeling cognition with probabilistic programs : representations and algorithms”
2015 · Massachusetts Institute of Technology · doctoral - cited by a thesis record
Tomer David Ullman“On the nature and origin of intuitive theories : learning, physics and psychology”
2015 · Massachusetts Institute of Technology · doctoral - cited by a thesis record
Jonathan H. Huggins“An information-theoretic analysis of resampling in Sequential Monte Carlo”
2014 · Massachusetts Institute of Technology · master's - cited by a thesis record
Eric Michael Jonas“Stochastic architectures for probabilistic computation”
2014 · Massachusetts Institute of Technology · doctoral - cited by a thesis record
Brenden M Lake“Towards more human-like concept learning in machines : compositionality, causality, and learning-to-learn”
2014 · Massachusetts Institute of Technology · doctoral - cited by a thesis record
Chris L. Baker“Bayesian Theory of Mind : modeling human reasoning about beliefs, desires, goals, and social relations”
2012 · Massachusetts Institute of Technology · doctoral - cited by a thesis record
Jessica B. Hamrick“Physical reasoning in complex scenes is sensitive to mass”
2012 · Massachusetts Institute of Technology · master's - cited by a thesis record
Avril Kenney“A computational model of quantification in natural language”
2012 · Massachusetts Institute of Technology · master's - cited by a thesis record2009 · Massachusetts Institute of Technology · doctoral
- cited by a thesis record
Keith A. Bonawitz“Composable probabilistic inference with BLAISE”
2008 · Massachusetts Institute of Technology · doctoral - cited by a thesis record
Tevye Rachelson Krynski“The role of temporal factors and prior knowledge in causal learning and judgment”
2006 · Massachusetts Institute of Technology · doctoral - cited by a thesis record
Gautam Jayaraman“Applying a randomized nearest neighbors algorithm to dimensionality reduction”
2003 · Massachusetts Institute of Technology · master's
Advisors on Wikidata1
From Wikidata, shown separately from the thesis records.
- stated by Wikidata
Students on Wikidata5
From Wikidata, shown separately from the thesis records.
- stated by Wikidata
- stated by Wikidata
- stated by Wikidata
- stated by Wikidata
- stated by Wikidata
The line above and below4 steps
The advisors of their advisors, four steps up at most, in the thesis records and on Wikidata, each kind marked; a person in both is listed once.
- 1 step up
cited by a thesis recordWhitman A. Richardsstated by WikidataWhitman Richards
- 2 steps up
stated by WikidataHans-Lukas Teuber
- 3 steps up
stated by WikidataGordon Allport
- 4 steps up
stated by WikidataHerbert Langfeld
Below them, within 3 steps, the record reaches 43 people: 32 cited by thesis records, 11 stated by Wikidata.
Theses1
- cited by a thesis record
A Bayesian framework for concept learning
1999 · Massachusetts Institute of Technology · doctoral · Massachusetts Institute of Technology. Department of Brain and Cognitive Sciences · in English · the thesis's own page ›
Education and career4
From Wikidata, shown separately from the thesis records. Each place opens its Wikidata item.
- undatedstudied
- undated
- undated
- undated
Works1
1999 · held from 1 repository · a work missing?
- cited by MIT DSpace theses's record
A Bayesian framework for concept learning
1999 · doctoral thesis · MIT DSpace theses