← Authors

Joshua B. Tenenbaum

125 papers · 2006–2025 · 14 conferences · across top CS/AI conferences

Achievements

πŸƒ Academic Marathon (19) πŸ—ΊοΈ Taxonomy Completionist (26) 🧭 Keyword Pioneer 🐝 Cross-Pollinator (15) 🌍 Conference Polyglot (14) 🐣 Hot Topic Early Bird 🌈 Renaissance Researcher (8) πŸŒ‰ Interdisciplinary Bridge 🏠 Conference Loyalist (45) 🌟 Keyword Trendsetter Combo (3) πŸ”¬ Deep Specialist (14) πŸ‘‘ Triple Crown 🌱 Topic Pioneer πŸ† Keyword Champion 🧬 Topic Evolution πŸ† Grand Slam 🀝 Dynamic Duo (30) ❓ The Questioner (6) πŸ“ˆ Trend Setter πŸš€ Conference Pioneer πŸ”₯ Unstoppable (11) ⚑ Prolific Year (9) πŸ’Ž Century Club (125) πŸ—ƒοΈ 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

Jiajun Wu (30) Chuang Gan (29) Yilun Du (23) Antonio Torralba (17) William T. Freeman (14) Jiayuan Mao (13) Leslie Pack Kaelbling (10) TomΓ‘s Lozano-PΓ©rez (10) Tom Silver (7) Zhenfang Chen (7)

Keywords

bayesian inference (12) task and motion planning (6) bayesian model (4) multi-agent system (4) scene understanding (4) relational learning (4) inverse planning (4) relational datum (4) uncertainty quantification (4) generative model (4) 3d reconstruction (4) markov chain monte carlo (3) probabilistic model (3) relational data (3) probabilistic modeling (3) reinforcement learning (3) cognitive modeling (3) nonparametric bayesian (2) markov decision process (2) visual reasoning (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