Joshua Tenenbaum
Professor
Studies computational cognitive science and cognitive AI, building computational models of human cognition with machine learning.
Joshua Tenenbaum's lab at MIT works on computational neuroscience & cognition. 158 papers since 2023, 90 at top venues, mostly ICLR and NeurIPS. 16 PhD students. Applications close .
At a glance
- papers, 2023–2026
- 41/ year
- at T1 venues
- 57%
- PhD students
- 16
- MS students
- 0
- alumni listed
- —
Papers by yearfrom DBLP, 2023–2026
- 9 papers2026 · T1 7 · collecting
- 47 papers2025 · T1 15
- 48 papers2024 · T1 29
- 54 papers2023 · T1 39
T1 venuesOtherVenues: ICLR, NeurIPS, ICML, ICRA, AAAI
Research focuspaper titles that use each topic's words
- Computational neuroscience & cognition6 papers
- cognitive2 papers
- building computational0 papers
- cognitive sciences0 papers
- computational cognitive0 papers
Paper list
From DBLP.
20269 papers
- Commun. ACMBuilding Intelligent Agents with Neuro-Symbolic Concepts (opens in a new tab)
- ICLR (T1)Evaluating Language Models' Evaluations of Games (opens in a new tab)
- ICLR (T1)ExoPredicator: Learning Abstract Models of Dynamic Worlds for Robot Planning (opens in a new tab)
- CVPR (T1)GenMatter: Perceiving Physical Objects with Generative Matter Models (opens in a new tab)
- ICLR (T1)Language and Experience: A Computational Model of Social Learning in Complex Tasks (opens in a new tab)
- Int. J. Robotics Res.NeuSE: Neural SE(3)-equivariant embedding for long-term object-based simultaneous localization and mapping (opens in a new tab)
- ICLR (T1)PhyScensis: Physics-Augmented LLM Agents for Complex Physical Scene Arrangement (opens in a new tab)
- ICRA (T1)Pragmatic Embodied Spoken Instruction Following in Human-Robot Collaboration with Theory of Mind (opens in a new tab)
- ICLR (T1)Shoot First, Ask Questions Later? Building Rational Agents that Explore and Act Like People (opens in a new tab)
202547 papers
- CogSciA Computational Model of Human Vocal Imitation (opens in a new tab)
- PACMPL (T1)A Domain-Specific Probabilistic Programming Language for Reasoning about Reasoning (Or: A Memo on memo) (opens in a new tab)
- CogSciAdaptive Social Learning using Theory of Mind (opens in a new tab)
- CogSciBelief Attribution as Mental Explanation: The Role of Accuracy, Informativity, and Causality (opens in a new tab)
- CogSciCalculating probabilities from imagined possibilities: Limitations in 4-year-olds (opens in a new tab)
- ICLR (T1)Can Large Language Models Understand Symbolic Graphics Programs? (opens in a new tab)
- TPAMI (T1)Compositional Physical Reasoning of Objects and Events From Videos (opens in a new tab)
- CogSciDecompose, Deduce, and Dispose: A Memory-Limited Metacognitive Model of Human Problem Solving (opens in a new tab)
- Trans. Assoc. Comput. LinguisticsElements of World Knowledge (EWoK): A Cognition-Inspired Framework for Evaluating Basic World Knowledge in Language Models (opens in a new tab)
- CogSciEmpathy in Explanation (opens in a new tab)
- CogSciEnsemble Physics: Perceiving the Mass of Groups of Objects is More Than the Sum of Its Parts (opens in a new tab)
- CogSciFinding structure in logographic writing with library learning II: Grapheme, sound, and meaning systematicity (opens in a new tab)
202448 papers
- PLoS Comput. Biol.Approximate planning in spatial search (opens in a new tab)
- IJCV (T1)Building 3D Generative Models from Minimal Data (opens in a new tab)
- ICLR (T1)Building Cooperative Embodied Agents Modularly with Large Language Models (opens in a new tab)
- ICML (T1)Compositional Image Decomposition with Diffusion Models (opens in a new tab)
- CogSciConcept Learning as Coarse-to-Fine Probabilistic Program Induction (opens in a new tab)
- ICRA (T1)ConceptGraphs: Open-Vocabulary 3D Scene Graphs for Perception and Planning (opens in a new tab)
- CogSciConnecting the dots: a comparative and developmental analysis of spatiotemporal pattern learning (opens in a new tab)
- ICML (T1)ContPhy: Continuum Physical Concept Learning and Reasoning from Videos (opens in a new tab)
- CogSciCooperative Explanation as Rational Communication (opens in a new tab)
- NeurIPS (T1)Evaluating Large Vision-and-Language Models on Children's Mathematical Olympiads (opens in a new tab)
- NeurIPS (T1)Evaluating Multiview Object Consistency in Humans and Image Models (opens in a new tab)
- NeurIPS (T1)Few-Shot Task Learning through Inverse Generative Modeling (opens in a new tab)
202354 papers
- CogSci"Just In Time" Representations for Mental Simulation in Intuitive Physics (opens in a new tab)
- CVPR (T1)3D Concept Learning and Reasoning from Multi-View Images (opens in a new tab)
- ICCV (T1)3D Neural Embedding Likelihood: Probabilistic Inverse Graphics for Robust 6D Pose Estimation (opens in a new tab)
- CVPR Workshop3D-IntPhys: Towards More Generalized 3D-grounded Visual Intuitive Physics under Challenging Scenes (opens in a new tab)
- SIGGRAPH (T1)Acting as Inverse Inverse Planning (opens in a new tab)
- CVPR (T1)Are Deep Neural Networks SMARTer Than Second Graders? (opens in a new tab)
- Trans. Mach. Learn. Res.Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models (opens in a new tab)
- PACMPL (T1)Combining Functional and Automata Synthesis to Discover Causal Reactive Programs (opens in a new tab)
- ICLR (T1)Composing Ensembles of Pre-trained Models via Iterative Consensus (opens in a new tab)
- CoRL (T1)Compositional Diffusion-Based Continuous Constraint Solvers (opens in a new tab)
- NeurIPS (T1)Compositional Foundation Models for Hierarchical Planning (opens in a new tab)
- RSS (T1)ConceptFusion: Open-set multimodal 3D mapping (opens in a new tab)
Where alumni went
Alumni are not listed on the lab homepage.
Apply to MITFall 2027
MIT EECS Computer Science PhD
- Round
- Single round
- Opens
- —
- GRE
- See program page
- English
- TOEFL/IELTS
- Fee
- USD 90
Confirmed on the program page.
Similar labsnearest by research summary
- GBCambridge
Richard E. Turner
- Probabilistic & causal inference
- CHETH Zurich
Peter Bühlmann
- Learning theory & optimization
- CNPeking
Liwei Wang
- Learning theory & optimization
- CHEPFL
Ali H. Sayed
- Reasoning & neuro-symbolic AI
- GBImperial
Yingzhen Li
- Probabilistic & causal inference
- CHEPFL
Volkan Cevher
- Learning theory & optimization
Your notes
Save this lab to keep notes.
Data
Some numbers could not be verified:
- The alumni list could not be found on the lab site.
- Collected
- Verified
- Papers
- DBLP
- Members
- Lab homepage
- Alumni
- Not collected
Tiers are venue classifications, not lab rankings.
MITcloses