Joshua B. Tenenbaum

Orcid: 0000-0002-1925-2035

Affiliations:
  • Massachusetts Institute of Technology (MIT), Department of Brain and Cognitive Sciences, Cambridge, MA, USA


According to our database1, Joshua B. Tenenbaum authored at least 519 papers between 1994 and 2024.

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Bibliography

2024
Building 3D Generative Models from Minimal Data.
Int. J. Comput. Vis., February, 2024

GOMA: Proactive Embodied Cooperative Communication via Goal-Oriented Mental Alignment.
CoRR, 2024

Partially Observable Task and Motion Planning with Uncertainty and Risk Awareness.
CoRR, 2024

WatChat: Explaining perplexing programs by debugging mental models.
CoRR, 2024

Loose LIPS Sink Ships: Asking Questions in Battleship with Language-Informed Program Sampling.
CoRR, 2024

Pragmatic Instruction Following and Goal Assistance via Cooperative Language-Guided Inverse Planning.
CoRR, 2024

Grounding Language about Belief in a Bayesian Theory-of-Mind.
CoRR, 2024

ContPhy: Continuum Physical Concept Learning and Reasoning from Videos.
CoRR, 2024

HAZARD Challenge: Embodied Decision Making in Dynamically Changing Environments.
CoRR, 2024

MMToM-QA: Multimodal Theory of Mind Question Answering.
CoRR, 2024

How does the primate brain combine generative and discriminative computations in vision?
CoRR, 2024

Generalized Planning in PDDL Domains with Pretrained Large Language Models.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Neural Amortized Inference for Nested Multi-Agent Reasoning.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Combining Functional and Automata Synthesis to Discover Causal Reactive Programs.
Proc. ACM Program. Lang., January, 2023

Top-Down Synthesis for Library Learning.
Proc. ACM Program. Lang., January, 2023

Storytelling as <i>Inverse</i> Inverse Planning.
Top. Cogn. Sci., 2023

Bayes3D: fast learning and inference in structured generative models of 3D objects and scenes.
CoRR, 2023

Learning adaptive planning representations with natural language guidance.
CoRR, 2023

How to guess a gradient.
CoRR, 2023

DiffuseBot: Breeding Soft Robots With Physics-Augmented Generative Diffusion Models.
CoRR, 2023

LILO: Learning Interpretable Libraries by Compressing and Documenting Code.
CoRR, 2023

AI for Mathematics: A Cognitive Science Perspective.
CoRR, 2023

Getting aligned on representational alignment.
CoRR, 2023

Learning a Hierarchical Planner from Humans in Multiple Generations.
CoRR, 2023

Video Language Planning.
CoRR, 2023

Learning to Act from Actionless Videos through Dense Correspondences.
CoRR, 2023

ConceptGraphs: Open-Vocabulary 3D Scene Graphs for Perception and Planning.
CoRR, 2023

Tactile Estimation of Extrinsic Contact Patch for Stable Placement.
CoRR, 2023

Approaching human 3D shape perception with neurally mappable models.
CoRR, 2023

The Future of Fundamental Science Led by Generative Closed-Loop Artificial Intelligence.
CoRR, 2023

Building Cooperative Embodied Agents Modularly with Large Language Models.
CoRR, 2023

Inferring the Goals of Communicating Agents from Actions and Instructions.
CoRR, 2023

The Neuro-Symbolic Inverse Planning Engine (NIPE): Modeling Probabilistic Social Inferences from Linguistic Inputs.
CoRR, 2023

From Word Models to World Models: Translating from Natural Language to the Probabilistic Language of Thought.
CoRR, 2023

Probabilistic Adaptation of Text-to-Video Models.
CoRR, 2023

Evaluating Language Models for Mathematics through Interactions.
CoRR, 2023

Improving Factuality and Reasoning in Language Models through Multiagent Debate.
CoRR, 2023

Evaluating statistical language models as pragmatic reasoners.
CoRR, 2023

PDSketch: Integrated Planning Domain Programming and Learning.
CoRR, 2023

On the Expressiveness and Generalization of Hypergraph Neural Networks.
CoRR, 2023

ConceptFusion: Open-set Multimodal 3D Mapping.
CoRR, 2023

3D Neural Embedding Likelihood for Robust Sim-to-Real Transfer in Inverse Graphics.
CoRR, 2023

Learning Universal Policies via Text-Guided Video Generation.
CoRR, 2023

Dissociating language and thought in large language models: a cognitive perspective.
CoRR, 2023

3D Shape Perception Integrates Intuitive Physics and Analysis-by-Synthesis.
CoRR, 2023

Acting as Inverse Inverse Planning.
Proceedings of the ACM SIGGRAPH 2023 Conference Proceedings, 2023

Tactile-Filter: Interactive Tactile Perception for Part Mating.
Proceedings of the Robotics: Science and Systems XIX, Daegu, 2023


NeuSE: Neural SE(3)-Equivariant Embedding for Consistent Spatial Understanding with Objects.
Proceedings of the Robotics: Science and Systems XIX, Daegu, 2023

Physion++: Evaluating Physical Scene Understanding that Requires Online Inference of Different Physical Properties.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Diffusion with Forward Models: Solving Stochastic Inverse Problems Without Direct Supervision.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Human spatiotemporal pattern learning as probabilistic program synthesis.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

What Planning Problems Can A Relational Neural Network Solve?
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

What's Left? Concept Grounding with Logic-Enhanced Foundation Models.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Learning Universal Policies via Text-Guided Video Generation.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Inferring the Future by Imagining the Past.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Compositional Foundation Models for Hierarchical Planning.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

NOPA: Neurally-guided Online Probabilistic Assistance for Building Socially Intelligent Home Assistants.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023

H-SAUR: Hypothesize, Simulate, Act, Update, and Repeat for Understanding Object Articulations from Interactions.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023

On the Complexity of Bayesian Generalization.
Proceedings of the International Conference on Machine Learning, 2023

Inferring Relational Potentials in Interacting Systems.
Proceedings of the International Conference on Machine Learning, 2023

Reduce, Reuse, Recycle: Compositional Generation with Energy-Based Diffusion Models and MCMC.
Proceedings of the International Conference on Machine Learning, 2023

Learning Neural Constitutive Laws from Motion Observations for Generalizable PDE Dynamics.
Proceedings of the International Conference on Machine Learning, 2023

Planning with Large Language Models for Code Generation.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

SoftZoo: A Soft Robot Co-design Benchmark For Locomotion In Diverse Environments.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Neural Groundplans: Persistent Neural Scene Representations from a Single Image.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

DexDeform: Dexterous Deformable Object Manipulation with Human Demonstrations and Differentiable Physics.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Composing Ensembles of Pre-trained Models via Iterative Consensus.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Planning with Sequence Models through Iterative Energy Minimization.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Is Conditional Generative Modeling all you need for Decision Making?
Proceedings of the Eleventh International Conference on Learning Representations, 2023

3D Neural Embedding Likelihood: Probabilistic Inverse Graphics for Robust 6D Pose Estimation.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Unsupervised Compositional Concepts Discovery with Text-to-Image Generative Models.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

LINC: A Neurosymbolic Approach for Logical Reasoning by Combining Language Models with First-Order Logic Provers.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

3D-IntPhys: Towards More Generalized 3D-grounded Visual Intuitive Physics under Challenging Scenes.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

3D Concept Learning and Reasoning from Multi-View Images.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Visual Dependency Transformers: Dependency Tree Emerges from Reversed Attention.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Are Deep Neural Networks SMARTer Than Second Graders?
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Compositional Diffusion-Based Continuous Constraint Solvers.
Proceedings of the Conference on Robot Learning, 2023

Learning Reusable Manipulation Strategies.
Proceedings of the Conference on Robot Learning, 2023

Zero-Shot Linear Combinations of Grounded Social Interactions with Linear Social MDPs.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

Predicate Invention for Bilevel Planning.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

Learning Rational Subgoals from Demonstrations and Instructions.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Logic, Probability, and Pragmatics in Syllogistic Reasoning.
Top. Cogn. Sci., 2022

Neural Networks special issue on Artificial Intelligence and Brain Science.
Neural Networks, 2022

Flexible social inference facilitates targeted social learning when rewards are not observable.
CoRR, 2022

Top-Down Synthesis for Library Learning.
CoRR, 2022

Retrospectives on the Embodied AI Workshop.
CoRR, 2022

When to Make Exceptions: Exploring Language Models as Accounts of Human Moral Judgment.
CoRR, 2022

Abstract Interpretation for Generalized Heuristic Search in Model-Based Planning.
CoRR, 2022

Solving the Baby Intuitions Benchmark with a Hierarchically Bayesian Theory of Mind.
CoRR, 2022

Seeing 3D Objects in a Single Image via Self-Supervised Static-Dynamic Disentanglement.
CoRR, 2022

Structured, flexible, and robust: benchmarking and improving large language models towards more human-like behavior in out-of-distribution reasoning tasks.
CoRR, 2022

Identifying concept libraries from language about object structure.
CoRR, 2022

Unsupervised Discovery and Composition of Object Light Fields.
CoRR, 2022

Inventing Relational State and Action Abstractions for Effective and Efficient Bilevel Planning.
CoRR, 2022

When Is It Acceptable to Break the Rules? Knowledge Representation of Moral Judgement Based on Empirical Data.
CoRR, 2022

Designing Perceptual Puzzles by Differentiating Probabilistic Programs.
Proceedings of the SIGGRAPH '22: Special Interest Group on Computer Graphics and Interactive Techniques Conference, Vancouver, BC, Canada, August 7, 2022

HandMeThat: Human-Robot Communication in Physical and Social Environments.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

PDSketch: Integrated Domain Programming, Learning, and Planning.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Learning Neural Acoustic Fields.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Drawing out of Distribution with Neuro-Symbolic Generative Models.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

When to Make Exceptions: Exploring Language Models as Accounts of Human Moral Judgment.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

3D Concept Grounding on Neural Fields.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Learning Physical Dynamics with Subequivariant Graph Neural Networks.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Communicating Natural Programs to Humans and Machines.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Noisy Agents: Self-supervised Exploration by Predicting Auditory Events.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

Robust Change Detection Based on Neural Descriptor Fields.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

Learning Neuro-Symbolic Relational Transition Models for Bilevel Planning.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

Incorporating Rich Social Interactions Into MDPs.
Proceedings of the 2022 International Conference on Robotics and Automation, 2022

Neural Descriptor Fields: SE(3)-Equivariant Object Representations for Manipulation.
Proceedings of the 2022 International Conference on Robotics and Automation, 2022

DURableVS: Data-efficient Unsupervised Recalibrating Visual Servoing via online learning in a structured generative model.
Proceedings of the 2022 International Conference on Robotics and Automation, 2022

The ThreeDWorld Transport Challenge: A Visually Guided Task-and-Motion Planning Benchmark Towards Physically Realistic Embodied AI.
Proceedings of the 2022 International Conference on Robotics and Automation, 2022

Prompting Decision Transformer for Few-Shot Policy Generalization.
Proceedings of the International Conference on Machine Learning, 2022

Discovering Generalizable Spatial Goal Representations via Graph-based Active Reward Learning.
Proceedings of the International Conference on Machine Learning, 2022

Planning with Diffusion for Flexible Behavior Synthesis.
Proceedings of the International Conference on Machine Learning, 2022

Learning Iterative Reasoning through Energy Minimization.
Proceedings of the International Conference on Machine Learning, 2022

Linking Emergent and Natural Languages via Corpus Transfer.
Proceedings of the Tenth International Conference on Learning Representations, 2022

Map Induction: Compositional spatial submap learning for efficient exploration in novel environments.
Proceedings of the Tenth International Conference on Learning Representations, 2022

FALCON: Fast Visual Concept Learning by Integrating Images, Linguistic descriptions, and Conceptual Relations.
Proceedings of the Tenth International Conference on Learning Representations, 2022

DiffSkill: Skill Abstraction from Differentiable Physics for Deformable Object Manipulations with Tools.
Proceedings of the Tenth International Conference on Learning Representations, 2022

Contact Points Discovery for Soft-Body Manipulations with Differentiable Physics.
Proceedings of the Tenth International Conference on Learning Representations, 2022

ComPhy: Compositional Physical Reasoning of Objects and Events from Videos.
Proceedings of the Tenth International Conference on Learning Representations, 2022

RISP: Rendering-Invariant State Predictor with Differentiable Simulation and Rendering for Cross-Domain Parameter Estimation.
Proceedings of the Tenth International Conference on Learning Representations, 2022

Hybrid Memoised Wake-Sleep: Approximate Inference at the Discrete-Continuous Interface.
Proceedings of the Tenth International Conference on Learning Representations, 2022

Revisiting the Roles of "Text" in Text Games.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

Compositional Visual Generation with Composable Diffusion Models.
Proceedings of the Computer Vision - ECCV 2022, 2022

Unsupervised Segmentation in Real-World Images via Spelke Object Inference.
Proceedings of the Computer Vision - ECCV 2022, 2022

Fixing Malfunctional Objects With Learned Physical Simulation and Functional Prediction.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Finding Fallen Objects Via Asynchronous Audio-Visual Integration.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Learning Neuro-Symbolic Skills for Bilevel Planning.
Proceedings of the Conference on Robot Learning, 2022

Embodied Concept Learner: Self-supervised Learning of Concepts and Mapping through Instruction Following.
Proceedings of the Conference on Robot Learning, 2022

MOST-GAN: 3D Morphable StyleGAN for Disentangled Face Image Manipulation.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

Discovering State and Action Abstractions for Generalized Task and Motion Planning.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

Too Many cooks: Bayesian inference for coordinating Multi-agent Collaboration.
Proceedings of the Human-Like Machine Intelligence., 2022

2021
Too Many Cooks: Bayesian Inference for Coordinating Multi-Agent Collaboration.
Top. Cogn. Sci., 2021

Data-Efficient Learning for Complex and Real-Time Physical Problem Solving Using Augmented Simulation.
IEEE Robotics Autom. Lett., 2021

World model learning and inference.
Neural Networks, 2021

Vector-based pedestrian navigation in cities.
Nat. Comput. Sci., 2021

Modeling human intention inference in continuous 3D domains by inverse planning and body kinematics.
CoRR, 2021

Growing knowledge culturally across generations to solve novel, complex tasks.
CoRR, 2021

Human-Level Reinforcement Learning through Theory-Based Modeling, Exploration, and Planning.
CoRR, 2021

Modeling the Mistakes of Boundedly Rational Agents Within a Bayesian Theory of Mind.
CoRR, 2021

Physion: Evaluating Physical Prediction from Vision in Humans and Machines.
CoRR, 2021

Learning Evolved Combinatorial Symbols with a Neuro-symbolic Generative Model.
CoRR, 2021

Probabilistic Programming Bots in Intuitive Physics Game Play.
CoRR, 2021

The ThreeDWorld Transport Challenge: A Visually Guided Task-and-Motion Planning Benchmark for Physically Realistic Embodied AI.
CoRR, 2021

Modular Object-Oriented Games: A Task Framework for Reinforcement Learning, Psychology, and Neuroscience.
CoRR, 2021

Plans or Outcomes: How Do We Attribute Intelligence to Others?
Cogn. Sci., 2021

DreamCoder: bootstrapping inductive program synthesis with wake-sleep library learning.
Proceedings of the PLDI '21: 42nd ACM SIGPLAN International Conference on Programming Language Design and Implementation, 2021

A Bayesian-Symbolic Approach to Reasoning and Learning in Intuitive Physics.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

STAR: A Benchmark for Situated Reasoning in Real-World Videos.
Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021

Light Field Networks: Neural Scene Representations with Single-Evaluation Rendering.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Improving Coherence and Consistency in Neural Sequence Models with Dual-System, Neuro-Symbolic Reasoning.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Grammar-Based Grounded Lexicon Learning.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Learning to Compose Visual Relations.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

PTR: A Benchmark for Part-based Conceptual, Relational, and Physical Reasoning.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

3DP3: 3D Scene Perception via Probabilistic Programming.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021


Unsupervised Learning of Compositional Energy Concepts.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Learning Signal-Agnostic Manifolds of Neural Fields.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Dynamic Visual Reasoning by Learning Differentiable Physics Models from Video and Language.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Physion: Evaluating Physical Prediction from Vision in Humans and Machines.
Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021

Noether Networks: meta-learning useful conserved quantities.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Dynamic Modeling of Hand-Object Interactions via Tactile Sensing.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

Learning Symbolic Operators for Task and Motion Planning.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

OPEn: An Open-ended Physics Environment for Learning Without a Task.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

Temporal and Object Quantification Networks.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Leveraging Language to Learn Program Abstractions and Search Heuristics.
Proceedings of the 38th International Conference on Machine Learning, 2021

AGENT: A Benchmark for Core Psychological Reasoning.
Proceedings of the 38th International Conference on Machine Learning, 2021

Improved Contrastive Divergence Training of Energy-Based Models.
Proceedings of the 38th International Conference on Machine Learning, 2021

A large-scale benchmark for few-shot program induction and synthesis.
Proceedings of the 38th International Conference on Machine Learning, 2021

Watch-And-Help: A Challenge for Social Perception and Human-AI Collaboration.
Proceedings of the 9th International Conference on Learning Representations, 2021

Representing Partial Programs with Blended Abstract Semantics.
Proceedings of the 9th International Conference on Learning Representations, 2021

Learning Task Decomposition with Ordered Memory Policy Network.
Proceedings of the 9th International Conference on Learning Representations, 2021

PlasticineLab: A Soft-Body Manipulation Benchmark with Differentiable Physics.
Proceedings of the 9th International Conference on Learning Representations, 2021

Unsupervised Discovery of 3D Physical Objects from Video.
Proceedings of the 9th International Conference on Learning Representations, 2021

Grounding Physical Concepts of Objects and Events Through Dynamic Visual Reasoning.
Proceedings of the 9th International Conference on Learning Representations, 2021

Learning with AMIGo: Adversarially Motivated Intrinsic Goals.
Proceedings of the 9th International Conference on Learning Representations, 2021

Building 3D Morphable Models from a Single Scan.
Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021

Neural Radiance Flow for 4D View Synthesis and Video Processing.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Identity-Expression Ambiguity in 3D Morphable Face Models.
Proceedings of the 16th IEEE International Conference on Automatic Face and Gesture Recognition, 2021

Single-Shot Scene Reconstruction.
Proceedings of the Conference on Robot Learning, 8-11 November 2021, London, UK., 2021

Augmenting Policy Learning with Routines Discovered from a Single Demonstration.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

Planning with Learned Object Importance in Large Problem Instances using Graph Neural Networks.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

PHASE: PHysically-grounded Abstract Social Events for Machine Social Perception.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

GLIB: Efficient Exploration for Relational Model-Based Reinforcement Learning via Goal-Literal Babbling.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Augmenting Policy Learning with Routines Discovered from a Demonstration.
CoRR, 2020

Object-Centric Diagnosis of Visual Reasoning.
CoRR, 2020

Towards Human-Level Learning of Complex Physical Puzzles.
CoRR, 2020

Learning Online Data Association.
CoRR, 2020

Improving the Reconstruction of Disentangled Representation Learners via Multi-Stage Modelling.
CoRR, 2020

Watch-And-Help: A Challenge for Social Perception and Human-AI Collaboration.
CoRR, 2020

Unsupervised Discovery of 3D Physical Objects from Video.
CoRR, 2020

ThreeDWorld: A Platform for Interactive Multi-Modal Physical Simulation.
CoRR, 2020

DreamCoder: Growing generalizable, interpretable knowledge with wake-sleep Bayesian program learning.
CoRR, 2020

Dark, Beyond Deep: A Paradigm Shift to Cognitive AI with Humanlike Common Sense.
CoRR, 2020

GLIB: Exploration via Goal-Literal Babbling for Lifted Operator Learning.
CoRR, 2020

Learning to learn generative programs with Memoised Wake-Sleep.
Proceedings of the Thirty-Sixth Conference on Uncertainty in Artificial Intelligence, 2020

Online Bayesian Goal Inference for Boundedly Rational Planning Agents.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Learning abstract structure for drawing by efficient motor program induction.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Program Synthesis with Pragmatic Communication.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Learning Compositional Rules via Neural Program Synthesis.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Multi-Plane Program Induction with 3D Box Priors.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Learning Physical Graph Representations from Visual Scenes.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Learning constraint-based planning models from demonstrations.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

DualSMC: Tunneling Differentiable Filtering and Planning under Continuous POMDPs.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Accurate Vision-based Manipulation through Contact Reasoning.
Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

Look, Listen, and Act: Towards Audio-Visual Embodied Navigation.
Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

Visual Grounding of Learned Physical Models.
Proceedings of the 37th International Conference on Machine Learning, 2020

Deep Audio Priors Emerge From Harmonic Convolutional Networks.
Proceedings of the 8th International Conference on Learning Representations, 2020

CLEVRER: Collision Events for Video Representation and Reasoning.
Proceedings of the 8th International Conference on Learning Representations, 2020

Rethinking Few-Shot Image Classification: A Good Embedding is All You Need?
Proceedings of the Computer Vision - ECCV 2020, 2020

Foley Music: Learning to Generate Music from Videos.
Proceedings of the Computer Vision - ECCV 2020, 2020

Probabilistic Video Prediction From Noisy Data With a Posterior Confidence.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

A Morphable Face Albedo Model.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

End-to-End Optimization of Scene Layout.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Perspective Plane Program Induction From a Single Image.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Music Gesture for Visual Sound Separation.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

A Long Horizon Planning Framework for Manipulating Rigid Pointcloud Objects.
Proceedings of the 4th Conference on Robot Learning, 2020

Too many cooks: Coordinating multi-agent collaboration through inverse planning.
Proceedings of the 42th Annual Meeting of the Cognitive Science Society, 2020

How many observations is one generic worth?
Proceedings of the 42th Annual Meeting of the Cognitive Science Society, 2020

Learning a Generative Model of Human Faces Through Inverse Rendering.
Proceedings of the 42th Annual Meeting of the Cognitive Science Society, 2020

Adventures in Flatland: Perceiving Social Interactions Under Physical Dynamics.
Proceedings of the 42th Annual Meeting of the Cognitive Science Society, 2020

Social Learning with Sparse Belief Samples.
Proceedings of the 42th Annual Meeting of the Cognitive Science Society, 2020

Learning sequential patterns from graphical programs.
Proceedings of the 42th Annual Meeting of the Cognitive Science Society, 2020

Humans measure algorithmic complexity to guide engagement with event sequences.
Proceedings of the 42th Annual Meeting of the Cognitive Science Society, 2020

A Task and Motion Approach to the Development of Planning.
Proceedings of the 42th Annual Meeting of the Cognitive Science Society, 2020

Leveraging Unstructured Statistical Knowledge in a Probabilistic Language of Thought.
Proceedings of the 42th Annual Meeting of the Cognitive Science Society, 2020

Jointly learning motion verbs and frame semantics from natural language and grounded scenes.
Proceedings of the 42th Annual Meeting of the Cognitive Science Society, 2020

Inverse Rendering Best Explains Face Perception Under Extreme Illuminations.
Proceedings of the 42th Annual Meeting of the Cognitive Science Society, 2020

Perceiving unseen objects.
Proceedings of the 42th Annual Meeting of the Cognitive Science Society, 2020

Abstract strategy learning underlies flexible transfer in physical problem solving.
Proceedings of the 42th Annual Meeting of the Cognitive Science Society, 2020

The fine structure of surprise in intuitive physics: when, why, and how much?
Proceedings of the 42th Annual Meeting of the Cognitive Science Society, 2020

The Origins of Common Sense in Humans and Machines.
Proceedings of the 42th Annual Meeting of the Cognitive Science Society, 2020

Few-Shot Bayesian Imitation Learning with Logical Program Policies.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
See, feel, act: Hierarchical learning for complex manipulation skills with multisensory fusion.
Sci. Robotics, 2019

Modeling human intuitions about liquid flow with particle-based simulation.
PLoS Comput. Biol., 2019

Machine behaviour.
Nat., 2019

Dual Sequential Monte Carlo: Tunneling Filtering and Planning in Continuous POMDPs.
CoRR, 2019

The Tools Challenge: Rapid Trial-and-Error Learning in Physical Problem Solving.
CoRR, 2019

Few-Shot Bayesian Imitation Learning with Logic over Programs.
CoRR, 2019

The Omniglot Challenge: A 3-Year Progress Report.
CoRR, 2019

Visualizing and Understanding Generative Adversarial Networks (Extended Abstract).
CoRR, 2019

The Cognitive Architecture of Perceived Animacy: Intention, Attention, and Memory.
Cogn. Sci., 2019

Sticking to the Evidence? A Behavioral and Computational Case Study of Micro-Theory Change in the Domain of Magnetism.
Cogn. Sci., 2019

DensePhysNet: Learning Dense Physical Object Representations Via Multi-Step Dynamic Interactions.
Proceedings of the Robotics: Science and Systems XV, 2019

Modeling Expectation Violation in Intuitive Physics with Coarse Probabilistic Object Representations.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Finding Friend and Foe in Multi-Agent Games.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Visual Concept-Metaconcept Learning.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Write, Execute, Assess: Program Synthesis with a REPL.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

ObjectNet: A large-scale bias-controlled dataset for pushing the limits of object recognition models.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Differentiable Physics and Stable Modes for Tool-Use and Manipulation Planning - Extended Abtract.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Propagation Networks for Model-Based Control Under Partial Observation.
Proceedings of the International Conference on Robotics and Automation, 2019

ChainQueen: A Real-Time Differentiable Physical Simulator for Soft Robotics.
Proceedings of the International Conference on Robotics and Automation, 2019

Combining Physical Simulators and Object-Based Networks for Control.
Proceedings of the International Conference on Robotics and Automation, 2019

Learning to Infer Program Sketches.
Proceedings of the 36th International Conference on Machine Learning, 2019

Neurally-Guided Structure Inference.
Proceedings of the 36th International Conference on Machine Learning, 2019

Infinite Mixture Prototypes for Few-shot Learning.
Proceedings of the 36th International Conference on Machine Learning, 2019

Unsupervised Discovery of Parts, Structure, and Dynamics.
Proceedings of the 7th International Conference on Learning Representations, 2019

Learning to Infer and Execute 3D Shape Programs.
Proceedings of the 7th International Conference on Learning Representations, 2019

Stochastic Prediction of Multi-Agent Interactions from Partial Observations.
Proceedings of the 7th International Conference on Learning Representations, 2019

The Neuro-Symbolic Concept Learner: Interpreting Scenes, Words, and Sentences From Natural Supervision.
Proceedings of the 7th International Conference on Learning Representations, 2019

Learning to Describe Scenes with Programs.
Proceedings of the 7th International Conference on Learning Representations, 2019

Learning Particle Dynamics for Manipulating Rigid Bodies, Deformable Objects, and Fluids.
Proceedings of the 7th International Conference on Learning Representations, 2019

Reasoning About Physical Interactions with Object-Oriented Prediction and Planning.
Proceedings of the 7th International Conference on Learning Representations, 2019

Visualizing and Understanding GANs.
Proceedings of the Deep Generative Models for Highly Structured Data, 2019

GAN Dissection: Visualizing and Understanding Generative Adversarial Networks.
Proceedings of the 7th International Conference on Learning Representations, 2019

Program-Guided Image Manipulators.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Entity Abstraction in Visual Model-Based Reinforcement Learning.
Proceedings of the 3rd Annual Conference on Robot Learning, 2019

Explaining intuitive difficulty judgments by modeling physical effort and risk.
Proceedings of the 41th Annual Meeting of the Cognitive Science Society, 2019

The effects of object motion observations on physical prediction.
Proceedings of the 41th Annual Meeting of the Cognitive Science Society, 2019

Modeling Expertise with Neurally-Guided Bayesian Program Induction.
Proceedings of the 41th Annual Meeting of the Cognitive Science Society, 2019

Draping an Elephant: Uncovering Children's Reasoning About Cloth-Covered Objects.
Proceedings of the 41th Annual Meeting of the Cognitive Science Society, 2019

Real-time inference of physical properties in dynamic scenes.
Proceedings of the 41th Annual Meeting of the Cognitive Science Society, 2019

Learning a novel rule-based conceptual system.
Proceedings of the 41th Annual Meeting of the Cognitive Science Society, 2019

Inferring Structured Visual Concepts from Minimal Data.
Proceedings of the 41th Annual Meeting of the Cognitive Science Society, 2019


Discovering a symbolic planning language from continuous experience.
Proceedings of the 41th Annual Meeting of the Cognitive Science Society, 2019

What if everybody did that?: Universalization as a mechanism of moral decision-making.
Proceedings of the 41th Annual Meeting of the Cognitive Science Society, 2019

Choosing the unimaginable: Social psychological factors in seeking transformative experiences.
Proceedings of the 41th Annual Meeting of the Cognitive Science Society, 2019

Look out, it's going to fall!: Does physical instability capture attention and lead to distraction?
Proceedings of the 41th Annual Meeting of the Cognitive Science Society, 2019

Emotion attributions echo the structure of people's intuitive theory of psychology.
Proceedings of the 41th Annual Meeting of the Cognitive Science Society, 2019

When circumstances change, update your pronouns.
Proceedings of the 41th Annual Meeting of the Cognitive Science Society, 2019

A rational model of syntactic bootstrapping.
Proceedings of the 41th Annual Meeting of the Cognitive Science Society, 2019

Heuristics, hacks, and habits: Boundedly optimal approaches to learning, reasoning and decision making.
Proceedings of the 41th Annual Meeting of the Cognitive Science Society, 2019

Query-guided visual search.
Proceedings of the 41th Annual Meeting of the Cognitive Science Society, 2019

Simplicity and Probability in Human Judgment.
Proceedings of the 41th Annual Meeting of the Cognitive Science Society, 2019

Rapid Trial-and-Error Learning in Physical Problem Solving.
Proceedings of the 41th Annual Meeting of the Cognitive Science Society, 2019

Theory of Minds: Understanding Behavior in Groups through Inverse Planning.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
3D Interpreter Networks for Viewer-Centered Wireframe Modeling.
Int. J. Comput. Vis., 2018

Residual Policy Learning.
CoRR, 2018

Visual Object Networks: Image Generation with Disentangled 3D Representation.
CoRR, 2018

At Human Speed: Deep Reinforcement Learning with Action Delay.
CoRR, 2018

Logical Rule Induction and Theory Learning Using Neural Theorem Proving.
CoRR, 2018

Discovery and usage of joint attention in images.
CoRR, 2018

The Three Pillars of Machine-Based Programming.
CoRR, 2018

Blaming humans in autonomous vehicle accidents: Shared responsibility across levels of automation.
CoRR, 2018

Rational Inference of Beliefs and Desires From Emotional Expressions.
Cogn. Sci., 2018

Unsupervised Learning of Latent Physical Properties Using Perception-Prediction Networks.
Proceedings of the Thirty-Fourth Conference on Uncertainty in Artificial Intelligence, 2018

The Variational Homoencoder: Learning to learn high capacity generative models from few examples.
Proceedings of the Thirty-Fourth Conference on Uncertainty in Artificial Intelligence, 2018

Differentiable Physics and Stable Modes for Tool-Use and Manipulation Planning.
Proceedings of the Robotics: Science and Systems XIV, 2018

The three pillars of machine programming.
Proceedings of the 2nd ACM SIGPLAN International Workshop on Machine Learning and Programming Languages, 2018

Visual Object Networks: Image Generation with Disentangled 3D Representations.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Learning to Reconstruct Shapes from Unseen Classes.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Neural-Symbolic VQA: Disentangling Reasoning from Vision and Language Understanding.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

3D-Aware Scene Manipulation via Inverse Graphics.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Learning to Share and Hide Intentions using Information Regularization.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Flexible neural representation for physics prediction.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Learning to Infer Graphics Programs from Hand-Drawn Images.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Learning Libraries of Subroutines for Neurally-Guided Bayesian Program Induction.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Learning to Exploit Stability for 3D Scene Parsing.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

End-to-End Differentiable Physics for Learning and Control.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

3D Shape Perception from Monocular Vision, Touch, and Shape Priors.
Proceedings of the 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2018

Augmenting Physical Simulators with Stochastic Neural Networks: Case Study of Planar Pushing and Bouncing.
Proceedings of the 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2018

Meta-Learning for Semi-Supervised Few-Shot Classification.
Proceedings of the 6th International Conference on Learning Representations, 2018

Seeing Tree Structure from Vibration.
Proceedings of the Computer Vision - ECCV 2018, 2018

Learning Shape Priors for Single-View 3D Completion And Reconstruction.
Proceedings of the Computer Vision - ECCV 2018, 2018

Physical Primitive Decomposition.
Proceedings of the Computer Vision - ECCV 2018, 2018

Inverting Audio-Visual Simulation for Shape and Material Perception.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2018

Pix3D: Dataset and Methods for Single-Image 3D Shape Modeling.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Moral Dynamics: A Computational Model of Moral Judgment.
Proceedings of the 40th Annual Meeting of the Cognitive Science Society, 2018

Strategies and representations in physical inference.
Proceedings of the 40th Annual Meeting of the Cognitive Science Society, 2018

Physical Inference for Object Perception in Complex Auditory Scenes.
Proceedings of the 40th Annual Meeting of the Cognitive Science Society, 2018

Evidence for an Intuitive Physics Engine in the Human Brain.
Proceedings of the 40th Annual Meeting of the Cognitive Science Society, 2018

Learning list concepts through program induction.
Proceedings of the 40th Annual Meeting of the Cognitive Science Society, 2018

The Cognitive Mechanisms of Contractualist Moral Decision-Making.
Proceedings of the 40th Annual Meeting of the Cognitive Science Society, 2018

The Evolution of Cooperation in Cognitively Flexible Agents.
Proceedings of the 40th Annual Meeting of the Cognitive Science Society, 2018

Hierarchical Drift-Diffusion Model for Moral Dilemma: Understanding Reaction Times and Choices.
Proceedings of the 40th Annual Meeting of the Cognitive Science Society, 2018

A generative model of people's intuitive theory of emotions: inverse planning in rich social games.
Proceedings of the 40th Annual Meeting of the Cognitive Science Society, 2018

Inductive Biases in the Evolution of Combinatorial Structure in Language.
Proceedings of the 40th Annual Meeting of the Cognitive Science Society, 2018

Relational inductive bias for physical construction in humans and machines.
Proceedings of the 40th Annual Meeting of the Cognitive Science Society, 2018

What happened? Reconstructing the past through vision and sound.
Proceedings of the 40th Annual Meeting of the Cognitive Science Society, 2018

Word learning and the acquisition of syntactic-semantic overhypotheses.
Proceedings of the 40th Annual Meeting of the Cognitive Science Society, 2018

Tiptoeing around it: Inference from absence in potentially offensive speech.
Proceedings of the 40th Annual Meeting of the Cognitive Science Society, 2018

Learning to act by integrating mental simulations and physical experiments.
Proceedings of the 40th Annual Meeting of the Cognitive Science Society, 2018

Auditory scene analysis as Bayesian inference in sound source models.
Proceedings of the 40th Annual Meeting of the Cognitive Science Society, 2018

Learning as program induction.
Proceedings of the 40th Annual Meeting of the Cognitive Science Society, 2018

Grounding Compositional Hypothesis Generation in Specific Instances.
Proceedings of the 40th Annual Meeting of the Cognitive Science Society, 2018

Building Machines that Learn and Think Like People.
Proceedings of the 17th International Conference on Autonomous Agents and MultiAgent Systems, 2018

A Computational Model of Commonsense Moral Decision Making.
Proceedings of the 2018 AAAI/ACM Conference on AI, Ethics, and Society, 2018

2017
A First Step in Combining Cognitive Event Features and Natural Language Representations to Predict Emotions.
CoRR, 2017

Beating the World's Best at Super Smash Bros. with Deep Reinforcement Learning.
CoRR, 2017

Shape and Material from Sound.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Self-Supervised Intrinsic Image Decomposition.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

MarrNet: 3D Shape Reconstruction via 2.5D Sketches.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Learning to See Physics via Visual De-animation.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

A Compositional Object-Based Approach to Learning Physical Dynamics.
Proceedings of the 5th International Conference on Learning Representations, 2017

Generative Modeling of Audible Shapes for Object Perception.
Proceedings of the IEEE International Conference on Computer Vision, 2017

Synthesizing 3D Shapes via Modeling Multi-view Depth Maps and Silhouettes with Deep Generative Networks.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

Neural Scene De-rendering.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

Workshop proposal: Deep Learning in Computational Cognitive Science.
Proceedings of the 39th Annual Meeting of the Cognitive Science Society, 2017

Causal and compositional generative models in online perception.
Proceedings of the 39th Annual Meeting of the Cognitive Science Society, 2017

Physical problem solving: Joint planning with symbolic, geometric, and dynamic constraints.
Proceedings of the 39th Annual Meeting of the Cognitive Science Society, 2017

Interpreting actions by attributing compositional desires.
Proceedings of the 39th Annual Meeting of the Cognitive Science Society, 2017

Big Data and Little Learners.
Proceedings of the 39th Annual Meeting of the Cognitive Science Society, 2017

Intuitive psychophysics: Children's exploratory play quantitatively tracks the discriminability of alternative hypotheses.
Proceedings of the 39th Annual Meeting of the Cognitive Science Society, 2017

What's worth the effort: Ten-month-old infants infer the value of goals from the costs of actions.
Proceedings of the 39th Annual Meeting of the Cognitive Science Society, 2017

Preschoolers and Infants Calibrate Persistence from Adult Models.
Proceedings of the 39th Annual Meeting of the Cognitive Science Society, 2017

Thinking and Guessing: Bayesian and Empirical Models of How Humans Search.
Proceedings of the 39th Annual Meeting of the Cognitive Science Society, 2017

One-shot Learning and Classification in Children.
Proceedings of the 39th Annual Meeting of the Cognitive Science Society, 2017

Cooperative Social Intelligence: Understanding and Acting with Other.
Proceedings of the 39th Annual Meeting of the Cognitive Science Society, 2017

Constructing Social Preferences From Anticipated Judgments: When Impartial Inequity is Fair and Why?
Proceedings of the 39th Annual Meeting of the Cognitive Science Society, 2017

Faulty Towers: A hypothetical simulation model of physical support.
Proceedings of the 39th Annual Meeting of the Cognitive Science Society, 2017

Learning to Learn Visual Object Categories by Integrating Deep Learning with Hierarchical Bayes.
Proceedings of the 39th Annual Meeting of the Cognitive Science Society, 2017

Simulation and heuristics in flexible tool use.
Proceedings of the 39th Annual Meeting of the Cognitive Science Society, 2017

Human Learning in Atari.
Proceedings of the 2017 AAAI Spring Symposia, 2017

2016
CrossCat: A Fully Bayesian Nonparametric Method for Analyzing Heterogeneous, High Dimensional Data.
J. Mach. Learn. Res., 2016

Understanding Visual Concepts with Continuation Learning.
CoRR, 2016

Building Machines That Learn and Think Like People.
CoRR, 2016

The Emergence of Organizing Structure in Conceptual Representation.
CoRR, 2016

Human collective intelligence as distributed Bayesian inference.
CoRR, 2016

Measuring and modeling the perception of natural and unconstrained gaze in humans and machines.
CoRR, 2016

Probing the Compositionality of Intuitive Functions.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Hierarchical Deep Reinforcement Learning: Integrating Temporal Abstraction and Intrinsic Motivation.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Sampling for Bayesian Program Learning.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Learning a Probabilistic Latent Space of Object Shapes via 3D Generative-Adversarial Modeling.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Inferring human intent from video by sampling hierarchical plans.
Proceedings of the 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2016

Single Image 3D Interpreter Network.
Proceedings of the Computer Vision - ECCV 2016, 2016

A Comparative Evaluation of Approximate Probabilistic Simulation and Deep Neural Networks as Accounts of Human Physical Scene Understanding.
Proceedings of the 38th Annual Meeting of the Cognitive Science Society, 2016

Integrating physical reasoning and visual object recognition for fully occluded scene interpretation.
Proceedings of the 38th Annual Meeting of the Cognitive Science Society, 2016

Coalescing the Vapors of Human Experience into a Viable and Meaningful Comprehension.
Proceedings of the 38th Annual Meeting of the Cognitive Science Society, 2016

Outcome or Strategy? A Bayesian Model of Intelligence Attribution.
Proceedings of the 38th Annual Meeting of the Cognitive Science Society, 2016

Coordinate to cooperate or compete: Abstract goals and joint intentions in social interaction.
Proceedings of the 38th Annual Meeting of the Cognitive Science Society, 2016

The Naïve Utility Calculus unifies spatial and statistical routes to preference.
Proceedings of the 38th Annual Meeting of the Cognitive Science Society, 2016

Feature-based Joint Planning and Norm Learning in Collaborative Games.
Proceedings of the 38th Annual Meeting of the Cognitive Science Society, 2016

Understanding "almost": Empirical and computational studies of near misses.
Proceedings of the 38th Annual Meeting of the Cognitive Science Society, 2016

Natural science: Active learning in dynamic physical microworlds.
Proceedings of the 38th Annual Meeting of the Cognitive Science Society, 2016

Integrating identification and perception: A case study of familiar and unfamiliar face processing.
Proceedings of the 38th Annual Meeting of the Cognitive Science Society, 2016

Physics 101: Learning Physical Object Properties from Unlabeled Videos.
Proceedings of the British Machine Vision Conference 2016, 2016

Modeling Human Understanding of Complex Intentional Action with a Bayesian Nonparametric Subgoal Model.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

Modeling Human Ad Hoc Coordination.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015
Galileo: Perceiving Physical Object Properties by Integrating a Physics Engine with Deep Learning.
Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

Softstar: Heuristic-Guided Probabilistic Inference.
Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

Deep Convolutional Inverse Graphics Network.
Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

Unsupervised Learning by Program Synthesis.
Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

Risk and Regret of Hierarchical Bayesian Learners.
Proceedings of the 32nd International Conference on Machine Learning, 2015

Picture: A probabilistic programming language for scene perception.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

Efficient analysis-by-synthesis in vision: A computational framework, behavioral tests, and modeling neuronal representations.
Proceedings of the 37th Annual Meeting of the Cognitive Science Society, 2015

Children's ability to infer beliefs and desires from emotional reactions.
Proceedings of the 37th Annual Meeting of the Cognitive Science Society, 2015

Hypothesis-Space Constraints in Causal Learning.
Proceedings of the 37th Annual Meeting of the Cognitive Science Society, 2015

Assessing the Perceived Predictability of Functions.
Proceedings of the 37th Annual Meeting of the Cognitive Science Society, 2015

Representing and Learning a Large System of Number Concepts with Latent Predicate Networks.
Proceedings of the 37th Annual Meeting of the Cognitive Science Society, 2015

Emergent Collective Sensing in Human Groups.
Proceedings of the 37th Annual Meeting of the Cognitive Science Society, 2015

Inference of Intention and Permissibility in Moral Decision Making.
Proceedings of the 37th Annual Meeting of the Cognitive Science Society, 2015

The naïve utility calculus: Joint inferences about the costs and rewards of actions.
Proceedings of the 37th Annual Meeting of the Cognitive Science Society, 2015

Beliefs about desires: Children's understanding of how knowledge and preference influence choice.
Proceedings of the 37th Annual Meeting of the Cognitive Science Society, 2015

Language & common sense: Integrating across psychology, linguistics, and computer science.
Proceedings of the 37th Annual Meeting of the Cognitive Science Society, 2015

Responsibility judgments in voting scenarios.
Proceedings of the 37th Annual Meeting of the Cognitive Science Society, 2015

How, whether, why: Causal judgments as counterfactual contrasts.
Proceedings of the 37th Annual Meeting of the Cognitive Science Society, 2015

Phrase similarity in humans and machines.
Proceedings of the 37th Annual Meeting of the Cognitive Science Society, 2015

Humans predict liquid dynamics using probabilistic simulation.
Proceedings of the 37th Annual Meeting of the Cognitive Science Society, 2015

Go fishing! Responsibility judgments when cooperation breaks down.
Proceedings of the 37th Annual Meeting of the Cognitive Science Society, 2015

Dimensionality Reduction via Program Induction.
Proceedings of the 2015 AAAI Spring Symposia, 2015

Latent Predicate Networks: Concept Learning with Probabilistic Context-Sensitive Grammars.
Proceedings of the 2015 AAAI Spring Symposia, 2015

2014
Inverse Graphics with Probabilistic CAD Models.
CoRR, 2014

Popularity and Performance: A Large-Scale Study.
CoRR, 2014

When Computer Vision Gazes at Cognition.
CoRR, 2014

One and Done? Optimal Decisions From Very Few Samples.
Cogn. Sci., 2014

Bias reformulation for one-shot function induction.
Proceedings of the ECAI 2014 - 21st European Conference on Artificial Intelligence, 18-22 August 2014, Prague, Czech Republic, 2014

Joint inferences of belief and desire from facial expressions.
Proceedings of the 36th Annual Meeting of the Cognitive Science Society, 2014

Learning physical theories from dynamical scenes.
Proceedings of the 36th Annual Meeting of the Cognitive Science Society, 2014

Information Selection in Noisy Environments with Large Action Spaces.
Proceedings of the 36th Annual Meeting of the Cognitive Science Society, 2014

Black boxes: Hypothesis testing via indirect perceptual evidence.
Proceedings of the 36th Annual Meeting of the Cognitive Science Society, 2014

Error-Driven Stochastic Search for Theories and Concepts.
Proceedings of the 36th Annual Meeting of the Cognitive Science Society, 2014

Computational Creativity: Generating new objects with a hierarchical Bayesian model.
Proceedings of the 36th Annual Meeting of the Cognitive Science Society, 2014

One-shot learning of generative speech concepts.
Proceedings of the 36th Annual Meeting of the Cognitive Science Society, 2014

I'd do anything for a cookie (but I won't do that): Children's understanding of the costs and rewards underlying rational action.
Proceedings of the 36th Annual Meeting of the Cognitive Science Society, 2014

Probability, programs, and the mind: Building structured Bayesian models of cognition.
Proceedings of the 36th Annual Meeting of the Cognitive Science Society, 2014

Wins above replacement: Responsibility attributions as counterfactual replacements.
Proceedings of the 36th Annual Meeting of the Cognitive Science Society, 2014

From counterfactual simulation to causal judgment.
Proceedings of the 36th Annual Meeting of the Cognitive Science Society, 2014

Automatic Construction and Natural-Language Description of Nonparametric Regression Models.
Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

Towards common-sense reasoning via conditional simulation: legacies of Turing in Artificial Intelligence.
Proceedings of the Turing's Legacy: Developments from Turing's Ideas in Logic, 2014

2013
Learning with Hierarchical-Deep Models.
IEEE Trans. Pattern Anal. Mach. Intell., 2013

Approximate Bayesian Image Interpretation using Generative Probabilistic Graphics Programs.
Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013

One-shot learning by inverting a compositional causal process.
Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013

Bootstrap Learning via Modular Concept Discovery.
Proceedings of the IJCAI 2013, 2013

Structure Discovery in Nonparametric Regression through Compositional Kernel Search.
Proceedings of the 30th International Conference on Machine Learning, 2013

Minimal Nativism: How does cognitive development get off the ground?
Proceedings of the 35th Annual Meeting of the Cognitive Science Society, 2013

Physical predictions over time.
Proceedings of the 35th Annual Meeting of the Cognitive Science Society, 2013

Not so innocent: Reasoning about costs, competence, and culpability in very early childhood.
Proceedings of the 35th Annual Meeting of the Cognitive Science Society, 2013

Inferring mass in complex physical scenes via probabilistic simulation.
Proceedings of the 35th Annual Meeting of the Cognitive Science Society, 2013

Structured cognitive representations and complex inference in neural systems.
Proceedings of the 35th Annual Meeting of the Cognitive Science Society, 2013

Bayesian vector analysis and the perception of hierarchical motion.
Proceedings of the 35th Annual Meeting of the Cognitive Science Society, 2013

2012
Multistability and Perceptual Inference.
Neural Comput., 2012

One-Shot Learning with a Hierarchical Nonparametric Bayesian Model.
Proceedings of the Unsupervised and Transfer Learning, 2012

Towards common-sense reasoning via conditional simulation: legacies of Turing in Artificial Intelligence
CoRR, 2012

Exploiting compositionality to explore a large space of model structures.
Proceedings of the Twenty-Eighth Conference on Uncertainty in Artificial Intelligence, 2012

Sticking to the Evidence? A computational and behavioral case study of micro-theory change in the domain of magnetism.
Proceedings of the 2012 IEEE International Conference on Development and Learning and Epigenetic Robotics, 2012

Modeling the Perception of Intentions.
Proceedings of the 34th Annual Meeting of the Cognitive Science Society, 2012

The Development of Joint Belief-Desire Inferences.
Proceedings of the 34th Annual Meeting of the Cognitive Science Society, 2012

Exploring the Role of Representation in Models of Grammatical Category Acquisition.
Proceedings of the 34th Annual Meeting of the Cognitive Science Society, 2012

Probabilistic generative models for counterfactual reasoning and blame attribution.
Proceedings of the 34th Annual Meeting of the Cognitive Science Society, 2012

Computational, Cognitive, and Neural Models of Decision-making Biases.
Proceedings of the 34th Annual Meeting of the Cognitive Science Society, 2012

Concept learning as motor program induction: A large-scale empirical study.
Proceedings of the 34th Annual Meeting of the Cognitive Science Society, 2012

Learning What is Where from Social Observations.
Proceedings of the 34th Annual Meeting of the Cognitive Science Society, 2012

Children's sensitivity to informant's inductive efficiency and learner's epistemic states in pedagogical contexts.
Proceedings of the 34th Annual Meeting of the Cognitive Science Society, 2012

Noisy Newtons: Unifying process and dependency accounts of causal attribution.
Proceedings of the 34th Annual Meeting of the Cognitive Science Society, 2012

Computational Models of Intuitive Physics.
Proceedings of the 34th Annual Meeting of the Cognitive Science Society, 2012

2011
Bayes and Blickets: Effects of Knowledge on Causal Induction in Children and Adults.
Cogn. Sci., 2011

Learning to Learn with Compound HD Models.
Proceedings of the Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, 2011

Bayesian Policy Search with Policy Priors.
Proceedings of the IJCAI 2011, 2011

Infinite Dynamic Bayesian Networks.
Proceedings of the 28th International Conference on Machine Learning, 2011

Learning to share visual appearance for multiclass object detection.
Proceedings of the 24th IEEE Conference on Computer Vision and Pattern Recognition, 2011

Learning individual words and learning about words simultaneously.
Proceedings of the 33th Annual Meeting of the Cognitive Science Society, 2011

Forward Physics: How people learn and generalize novel dynamical models.
Proceedings of the 33th Annual Meeting of the Cognitive Science Society, 2011

Productivity and Reuse in Language: a Developmental Study.
Proceedings of the 33th Annual Meeting of the Cognitive Science Society, 2011

Productivity and Reuse in Language.
Proceedings of the 33th Annual Meeting of the Cognitive Science Society, 2011

One shot learning of simple visual concepts.
Proceedings of the 33th Annual Meeting of the Cognitive Science Society, 2011

Probabilistic internal physics models guide judgments about object dynamics.
Proceedings of the 33th Annual Meeting of the Cognitive Science Society, 2011

Bayesian Theory of Mind: Modeling Joint Belief-Desire Attribution.
Proceedings of the 33th Annual Meeting of the Cognitive Science Society, 2011

2010
Learning to Learn Causal Models.
Cogn. Sci., 2010

Dynamic Infinite Relational Model for Time-varying Relational Data Analysis.
Proceedings of the Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010. Proceedings of a meeting held 6-9 December 2010, 2010

Nonparametric Bayesian Policy Priors for Reinforcement Learning.
Proceedings of the Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010. Proceedings of a meeting held 6-9 December 2010, 2010

2009
Exact and Approximate Sampling by Systematic Stochastic Search.
Proceedings of the Twelfth International Conference on Artificial Intelligence and Statistics, 2009

Indirect Evidence and the Poverty of the Stimulus: The Case of Anaphoric <i>One</i>.
Cogn. Sci., 2009

The Infinite Latent Events Model.
Proceedings of the UAI 2009, 2009

Explaining human multiple object tracking as resource-constrained approximate inference in a dynamic probabilistic model.
Proceedings of the Advances in Neural Information Processing Systems 22: 23rd Annual Conference on Neural Information Processing Systems 2009. Proceedings of a meeting held 7-10 December 2009, 2009

Help or Hinder: Bayesian Models of Social Goal Inference.
Proceedings of the Advances in Neural Information Processing Systems 22: 23rd Annual Conference on Neural Information Processing Systems 2009. Proceedings of a meeting held 7-10 December 2009, 2009

Modelling Relational Data using Bayesian Clustered Tensor Factorization.
Proceedings of the Advances in Neural Information Processing Systems 22: 23rd Annual Conference on Neural Information Processing Systems 2009. Proceedings of a meeting held 7-10 December 2009, 2009

Perceptual Multistability as Markov Chain Monte Carlo Inference.
Proceedings of the Advances in Neural Information Processing Systems 22: 23rd Annual Conference on Neural Information Processing Systems 2009. Proceedings of a meeting held 7-10 December 2009, 2009

2008
A Probabilistic Model of Meetings That Combines Words and Discourse Features.
IEEE Trans. Speech Audio Process., 2008

The discovery of structural form.
Proc. Natl. Acad. Sci. USA, 2008

A Rational Analysis of Rule-Based Concept Learning.
Cogn. Sci., 2008

Church: a language for generative models.
Proceedings of the UAI 2008, 2008

Building Theories of the World: Human and Machine Learning Perspectives.
Proceedings of the Inductive Logic Programming, 18th International Conference, 2008

2007
Parametric Embedding for Class Visualization.
Neural Comput., 2007

AClass: A simple, online, parallelizable algorithm for probabilistic classification.
Proceedings of the Eleventh International Conference on Artificial Intelligence and Statistics, 2007

Learning and using relational theories.
Proceedings of the Advances in Neural Information Processing Systems 20, 2007

A Bayesian Framework for Cross-Situational Word-Learning.
Proceedings of the Advances in Neural Information Processing Systems 20, 2007

2006
Structured Priors for Structure Learning.
Proceedings of the UAI '06, 2006

Learning annotated hierarchies from relational data.
Proceedings of the Advances in Neural Information Processing Systems 19, 2006

Multiple timescales and uncertainty in motor adaptation.
Proceedings of the Advances in Neural Information Processing Systems 19, 2006

Causal inference in sensorimotor integration.
Proceedings of the Advances in Neural Information Processing Systems 19, 2006

Combining causal and similarity-based reasoning.
Proceedings of the Advances in Neural Information Processing Systems 19, 2006

Unsupervised Topic Modelling for Multi-Party Spoken Discourse.
Proceedings of the ACL 2006, 2006

Learning Systems of Concepts with an Infinite Relational Model.
Proceedings of the Proceedings, 2006

2005
The Large-Scale Structure of Semantic Networks: Statistical Analyses and a Model of Semantic Growth.
Cogn. Sci., 2005

Bayesian models of human action understanding.
Proceedings of the Advances in Neural Information Processing Systems 18 [Neural Information Processing Systems, 2005

2004
Children's causal inferences from indirect evidence: Backwards blocking and Bayesian reasoning in preschoolers.
Cogn. Sci., 2004

Integrating Topics and Syntax.
Proceedings of the Advances in Neural Information Processing Systems 17 [Neural Information Processing Systems, 2004

2003
Learning style translation for the lines of a drawing.
ACM Trans. Graph., 2003

Inferring causal networks from observations and interventions.
Cogn. Sci., 2003

Semi-Supervised Learning with Trees.
Proceedings of the Advances in Neural Information Processing Systems 16 [Neural Information Processing Systems, 2003

From Algorithmic to Subjective Randomness.
Proceedings of the Advances in Neural Information Processing Systems 16 [Neural Information Processing Systems, 2003

Hierarchical Topic Models and the Nested Chinese Restaurant Process.
Proceedings of the Advances in Neural Information Processing Systems 16 [Neural Information Processing Systems, 2003

2002
Theory-Based Causal Inference.
Proceedings of the Advances in Neural Information Processing Systems 15 [Neural Information Processing Systems, 2002

Global Versus Local Methods in Nonlinear Dimensionality Reduction.
Proceedings of the Advances in Neural Information Processing Systems 15 [Neural Information Processing Systems, 2002

Bayesian Models of Inductive Generalization.
Proceedings of the Advances in Neural Information Processing Systems 15 [Neural Information Processing Systems, 2002

Dynamical Causal Learning.
Proceedings of the Advances in Neural Information Processing Systems 15 [Neural Information Processing Systems, 2002

2001
Using Vocabulary Knowledge in Bayesian Multinomial Estimation.
Proceedings of the Advances in Neural Information Processing Systems 14 [Neural Information Processing Systems: Natural and Synthetic, 2001

2000
Separating Style and Content with Bilinear Models.
Neural Comput., 2000

Structure Learning in Human Causal Induction.
Proceedings of the Advances in Neural Information Processing Systems 13, 2000

1999
Rules and Similarity in Concept Learning.
Proceedings of the Advances in Neural Information Processing Systems 12, [NIPS Conference, Denver, Colorado, USA, November 29, 1999

1998
Bayesian Modeling of Human Concept Learning.
Proceedings of the Advances in Neural Information Processing Systems 11, [NIPS Conference, Denver, Colorado, USA, November 30, 1998

1997
Mapping a Manifold of Perceptual Observations.
Proceedings of the Advances in Neural Information Processing Systems 10, 1997

Learning bilinear models for two-factor problems in vision.
Proceedings of the 1997 Conference on Computer Vision and Pattern Recognition (CVPR '97), 1997

1996
Separating Style and Content.
Proceedings of the Advances in Neural Information Processing Systems 9, 1996

1995
Learning the Structure of Similarity.
Proceedings of the Advances in Neural Information Processing Systems 8, 1995

1994
Factorial Learning by Clustering Features.
Proceedings of the Advances in Neural Information Processing Systems 7, 1994


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