Joshua B. Tenenbaum
125 papers · 2006–2025 · 14 conferences · across top CS/AI conferences
Achievements
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πΊοΈ Taxonomy Completionist (26) π§ Keyword Pioneer π Renaissance Researcher (8) π Interdisciplinary Bridge π£ Hot Topic Early Bird
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Hot Topic Early Bird
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(8)
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Interdisciplinary Bridge
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Conference Loyalist
(45)
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Keyword Trendsetter Combo
(3)
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(14)
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Triple Crown
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Topic Pioneer
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Keyword Champion
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Topic Evolution
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Dynamic Duo
(30)
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The Questioner
(6)
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Conference Pioneer
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Unstoppable
(11)
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Prolific Year
(9)
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Century Club
(125)
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Keyword Collector
(104)
Conferences
ICLR (45)
NIPS (16)
CVPR (14)
AAAI (12)
ICML (11)
ECCV (7)
CORL (6)
ICCV (5)
IJCAI (3)
EMNLP (2)
ACL (1)
COLING (1)
JMLR (1)
RSS (1)
Top co-authors
Keywords
bayesian inference
(12)
task and motion planning
(6)
multi-agent system
(4)
relational learning
(4)
bayesian model
(4)
3d reconstruction
(4)
inverse planning
(4)
generative model
(4)
relational datum
(4)
uncertainty quantification
(4)
scene understanding
(4)
markov chain monte carlo
(3)
relational data
(3)
probabilistic model
(3)
probabilistic modeling
(3)
reinforcement learning
(3)
cognitive modeling
(3)
markov decision process
(2)
policy learning
(2)
representation learning
(2)
Papers
Testing the Limits of Fine-Tuning for Improving Visual Cognition in Vision Language Models
ICML 2025
LLM-Guided Probabilistic Program Induction for POMDP Model Estimation
CORL 2025
What Makes a Maze Look Like a Maze?
ICLR 2025
Multiagent Finetuning: Self Improvement with Diverse Reasoning Chains
ICLR 2025
VisualPredicator: Learning Abstract World Models with Neuro-Symbolic Predicates for Robot Planning
ICLR 2025
Vision CNNs trained to estimate spatial latents learned similar ventral-stream-aligned representations
ICLR 2025
Can Large Language Models Understand Symbolic Graphics Programs?
ICLR 2025
On the Same Wavelength? Evaluating Pragmatic Reasoning in Language Models across Broad Concepts
EMNLP 2025
Language-Informed Synthesis of Rational Agent Models for Grounded Theory-of-Mind Reasoning On-the-fly
EMNLP 2025
ContPhy: Continuum Physical Concept Learning and Reasoning from Videos
ICML 2024
Physically Compatible 3D Object Modeling from a Single Image
NIPS 2024
Learning to Act from Actionless Videos through Dense Correspondences
ICLR 2024
Learning to Jointly Understand Visual and Tactile Signals
ICLR 2024
Partially Observable Task and Motion Planning with Uncertainty and Risk Awareness
RSS 2024
LILO: Learning Interpretable Libraries by Compressing and Documenting Code
ICLR 2024
Probabilistic Adaptation of Black-Box Text-to-Video Models
ICLR 2024
HAZARD Challenge: Embodied Decision Making in Dynamically Changing Environments
ICLR 2024
Video Language Planning
ICLR 2024
Building Cooperative Embodied Agents Modularly with Large Language Models
ICLR 2024
Learning Grounded Action Abstractions from Language
ICLR 2024
Evaluating Multiview Object Consistency in Humans and Image Models
NIPS 2024
Compositional Image Decomposition with Diffusion Models
ICML 2024
LLM and Simulation as Bilevel Optimizers: A New Paradigm to Advance Physical Scientific Discovery
ICML 2024
Neural Amortized Inference for Nested Multi-Agent Reasoning
AAAI 2024
Generalized Planning in PDDL Domains with Pretrained Large Language Models
AAAI 2024
Potential Based Diffusion Motion Planning
ICML 2024
Learning Iterative Reasoning through Energy Diffusion
ICML 2024
Improving Factuality and Reasoning in Language Models through Multiagent Debate
ICML 2024
Evaluating Large Vision-and-Language Models on Children's Mathematical Olympiads
NIPS 2024
Inferring Relational Potentials in Interacting Systems
ICML 2023
Learning Reusable Manipulation Strategies
CORL 2023
Compositional Diffusion-Based Continuous Constraint Solvers
CORL 2023
Zero-Shot Linear Combinations of Grounded Social Interactions with Linear Social MDPs
AAAI 2023
Learning Rational Subgoals from Demonstrations and Instructions
AAAI 2023
Predicate Invention for Bilevel Planning
AAAI 2023
Visual Dependency Transformers: Dependency Tree Emerges From Reversed Attention
CVPR 2023
3D Concept Learning and Reasoning From Multi-View Images
CVPR 2023
Are Deep Neural Networks SMARTer Than Second Graders?
CVPR 2023
Unsupervised Compositional Concepts Discovery with Text-to-Image Generative Models
ICCV 2023
3D Neural Embedding Likelihood: Probabilistic Inverse Graphics for Robust 6D Pose Estimation
ICCV 2023
Planning with Sequence Models through Iterative Energy Minimization
ICLR 2023
DexDeform: Dexterous Deformable Object Manipulation with Human Demonstrations and Differentiable Physics
ICLR 2023
Planning with Large Language Models for Code Generation
ICLR 2023
SoftZoo: A Soft Robot Co-design Benchmark For Locomotion In Diverse Environments
ICLR 2023
Composing Ensembles of Pre-trained Models via Iterative Consensus
ICLR 2023
Neural Groundplans: Persistent Neural Scene Representations from a Single Image
ICLR 2023
Is Conditional Generative Modeling all you need for Decision Making?
ICLR 2023
Reduce, Reuse, Recycle: Compositional Generation with Energy-Based Diffusion Models and MCMC
ICML 2023
Learning Neural Constitutive Laws from Motion Observations for Generalizable PDE Dynamics
ICML 2023
On the Complexity of Bayesian Generalization
ICML 2023
ComPhy: Compositional Physical Reasoning of Objects and Events from Videos
ICLR 2022
Hybrid Memoised Wake-Sleep: Approximate Inference at the Discrete-Continuous Interface
ICLR 2022
Map Induction: Compositional spatial submap learning for efficient exploration in novel environments
ICLR 2022
Learning Neuro-Symbolic Skills for Bilevel Planning
CORL 2022
Contact Points Discovery for Soft-Body Manipulations with Differentiable Physics
ICLR 2022
Compositional Visual Generation with Composable Diffusion Models
ECCV 2022
Unsupervised Segmentation in Real-World Images via Spelke Object Inference
ECCV 2022
MOST-GAN: 3D Morphable StyleGAN for Disentangled Face Image Manipulation
AAAI 2022
Discovering State and Action Abstractions for Generalized Task and Motion Planning
AAAI 2022
Finding Fallen Objects via Asynchronous Audio-Visual Integration
CVPR 2022
Linking Emergent and Natural Languages via Corpus Transfer
ICLR 2022
Embodied Concept Learner: Self-supervised Learning of Concepts and Mapping through Instruction Following
CORL 2022
Fixing Malfunctional Objects With Learned Physical Simulation and Functional Prediction
CVPR 2022
RISP: Rendering-Invariant State Predictor with Differentiable Simulation and Rendering for Cross-Domain Parameter Estimation
ICLR 2022
FALCON: Fast Visual Concept Learning by Integrating Images, Linguistic descriptions, and Conceptual Relations
ICLR 2022
DiffSkill: Skill Abstraction from Differentiable Physics for Deformable Object Manipulations with Tools
ICLR 2022
Augmenting Policy Learning with Routines Discovered from a Single Demonstration
AAAI 2021
Temporal and Object Quantification Networks
IJCAI 2021
Neural Radiance Flow for 4D View Synthesis and Video Processing
ICCV 2021
Learning Task Decomposition with Ordered Memory Policy Network
ICLR 2021
Grounding Physical Concepts of Objects and Events Through Dynamic Visual Reasoning
ICLR 2021
Representing Partial Programs with Blended Abstract Semantics
ICLR 2021
Unsupervised Discovery of 3D Physical Objects from Video
ICLR 2021
Learning with AMIGo: Adversarially Motivated Intrinsic Goals
ICLR 2021
Watch-And-Help: A Challenge for Social Perception and Human-AI Collaboration
ICLR 2021
PlasticineLab: A Soft-Body Manipulation Benchmark with Differentiable Physics
ICLR 2021
Single-Shot Scene Reconstruction
CORL 2021
Planning with Learned Object Importance in Large Problem Instances using Graph Neural Networks
AAAI 2021
GLIB: Efficient Exploration for Relational Model-Based Reinforcement Learning via Goal-Literal Babbling
AAAI 2021
PHASE: PHysically-grounded Abstract Social Events for Machine Social Perception
AAAI 2021
Foley Music: Learning to Generate Music from Videos
ECCV 2020
Rethinking Few-shot Image Classification: A Good Embedding is All You Need?
ECCV 2020
Deep Audio Priors Emerge From Harmonic Convolutional Networks
ICLR 2020
CLEVRER: Collision Events for Video Representation and Reasoning
ICLR 2020
Probabilistic Video Prediction From Noisy Data With a Posterior Confidence
CVPR 2020
A Morphable Face Albedo Model
CVPR 2020
End-to-End Optimization of Scene Layout
CVPR 2020
Perspective Plane Program Induction From a Single Image
CVPR 2020
Music Gesture for Visual Sound Separation
CVPR 2020
DualSMC: Tunneling Differentiable Filtering and Planning under Continuous POMDPs
IJCAI 2020
Differentiable Physics and Stable Modes for Tool-Use and Manipulation Planning - Extended Abtract
IJCAI 2019
GAN Dissection: Visualizing and Understanding Generative Adversarial Networks
ICLR 2019
Reasoning About Physical Interactions with Object-Oriented Prediction and Planning
ICLR 2019
Learning Particle Dynamics for Manipulating Rigid Bodies, Deformable Objects, and Fluids
ICLR 2019
Learning to Infer and Execute 3D Shape Programs
ICLR 2019
Program-Guided Image Manipulators
ICCV 2019
The Neuro-Symbolic Concept Learner: Interpreting Scenes, Words, and Sentences From Natural Supervision
ICLR 2019
Learning to Describe Scenes with Programs
ICLR 2019
Unsupervised Discovery of Parts, Structure, and Dynamics
ICLR 2019
Theory of Minds: Understanding Behavior in Groups through Inverse Planning
AAAI 2019
Physical Primitive Decomposition
ECCV 2018
Seeing Tree Structure from Vibration
ECCV 2018
Learning Shape Priors for Single-View 3D Completion and Reconstruction
ECCV 2018
Meta-Learning for Semi-Supervised Few-Shot Classification
ICLR 2018
Pix3D: Dataset and Methods for Single-Image 3D Shape Modeling
CVPR 2018
Synthesizing 3D Shapes via Modeling Multi-View Depth Maps and Silhouettes With Deep Generative Networks
CVPR 2017
Generative Modeling of Audible Shapes for Object Perception
ICCV 2017
Neural Scene De-Rendering
CVPR 2017
CrossCat: A Fully Bayesian Nonparametric Method for Analyzing Heterogeneous, High Dimensional Data
JMLR 2016
Picture: A Probabilistic Programming Language for Scene Perception
CVPR 2015
Learning to Learn with Compound HD Models
NIPS 2011
Dynamic Infinite Relational Model for Time-varying Relational Data Analysis
NIPS 2010
Nonparametric Bayesian Policy Priors for Reinforcement Learning
NIPS 2010
Help or Hinder: Bayesian Models of Social Goal Inference
NIPS 2009
Perceptual Multistability as Markov Chain Monte Carlo Inference
NIPS 2009
Explaining human multiple object tracking as resource-constrained approximate inference in a dynamic probabilistic model
NIPS 2009
Modelling Relational Data using Bayesian Clustered Tensor Factorization
NIPS 2009
A Bayesian Framework for Cross-Situational Word-Learning
NIPS 2007
Learning and using relational theories
NIPS 2007
Learning annotated hierarchies from relational data
NIPS 2006
Multiple timescales and uncertainty in motor adaptation
NIPS 2006
Unsupervised Topic Modelling for Multi-Party Spoken Discourse
COLING 2006
Combining causal and similarity-based reasoning
NIPS 2006
Causal inference in sensorimotor integration
NIPS 2006
Unsupervised Topic Modelling for Multi-Party Spoken Discourse
ACL 2006