Joshua B. Tenenbaum

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.

[BibT_eX]

[DOI]

Jiayuan Mao

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

Learning Neural Acoustic Fields.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Zhijing Jin

Sydney Levine

Fernando Gonzalez Adauto

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Samuel Acquaviva

Yewen Pu

Marta Kryven

Theodoros Sechopoulos

Catherine Wong

Gabrielle E. Ecanow

Maxwell I. Nye

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.

[BibT_eX]

[DOI]

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

Robust Change Detection Based on Neural Descriptor Fields.

[BibT_eX]

[DOI]

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

Learning Neuro-Symbolic Relational Transition Models for Bilevel Planning.

[BibT_eX]

[DOI]

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

Incorporating Rich Social Interactions Into MDPs.

[BibT_eX]

[DOI]

Proceedings of the 2022 International Conference on Robotics and Automation, 2022

Neural Descriptor Fields: SE(3)-Equivariant Object Representations for Manipulation.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Nishad Gothoskar

Miguel Lázaro-Gredilla

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.

[BibT_eX]

[DOI]

Proceedings of the 2022 International Conference on Robotics and Automation, 2022

Prompting Decision Transformer for Few-Shot Policy Generalization.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2022

Discovering Generalizable Spatial Goal Representations via Graph-based Active Reward Learning.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2022

Planning with Diffusion for Flexible Behavior Synthesis.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2022

Learning Iterative Reasoning through Energy Minimization.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2022

Linking Emergent and Natural Languages via Corpus Transfer.

[BibT_eX]

[DOI]

Shunyu Yao

Mo Yu

Yang Zhang

Karthik R. Narasimhan

Chuang Gan

Proceedings of the Tenth International Conference on Learning Representations, 2022

Map Induction: Compositional spatial submap learning for efficient exploration in novel environments.

[BibT_eX]

[DOI]

Proceedings of the Tenth International Conference on Learning Representations, 2022

FALCON: Fast Visual Concept Learning by Integrating Images, Linguistic descriptions, and Conceptual Relations.

[BibT_eX]

[DOI]

Proceedings of the Tenth International Conference on Learning Representations, 2022

DiffSkill: Skill Abstraction from Differentiable Physics for Deformable Object Manipulations with Tools.

[BibT_eX]

[DOI]

Proceedings of the Tenth International Conference on Learning Representations, 2022

Contact Points Discovery for Soft-Body Manipulations with Differentiable Physics.

[BibT_eX]

[DOI]

Proceedings of the Tenth International Conference on Learning Representations, 2022

ComPhy: Compositional Physical Reasoning of Objects and Events from Videos.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the Tenth International Conference on Learning Representations, 2022

Hybrid Memoised Wake-Sleep: Approximate Inference at the Discrete-Continuous Interface.

[BibT_eX]

[DOI]

Siddharth Narayanaswamy

Proceedings of the Tenth International Conference on Learning Representations, 2022

Revisiting the Roles of "Text" in Text Games.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

Compositional Visual Generation with Composable Diffusion Models.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2022, 2022

Unsupervised Segmentation in Real-World Images via Spelke Object Inference.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2022, 2022

Fixing Malfunctional Objects With Learned Physical Simulation and Functional Prediction.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Finding Fallen Objects Via Asynchronous Audio-Visual Integration.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Learning Neuro-Symbolic Skills for Bilevel Planning.

[BibT_eX]

[DOI]

Proceedings of the Conference on Robot Learning, 2022

Embodied Concept Learner: Self-supervised Learning of Concepts and Mapping through Instruction Following.

[BibT_eX]

[DOI]

Proceedings of the Conference on Robot Learning, 2022

Identifying concept libraries from language about object structure.

[BibT_eX]

[DOI]

Proceedings of the 44th Annual Meeting of the Cognitive Science Society, 2022

Efficient exploration of spatial environments through Map Induction using adaptable compositional map representations.

[BibT_eX]

[DOI]

Proceedings of the 44th Annual Meeting of the Cognitive Science Society, 2022

Learning as Programming: Modeling Efficient Search in Human Concept Learning.

[BibT_eX]

[DOI]

Steven T. Piantadosi

Proceedings of the 44th Annual Meeting of the Cognitive Science Society, 2022

Modeling punishment as a rational communicative social action.

[BibT_eX]

[DOI]

Setayesh Radkani

Rebecca Saxe

Proceedings of the 44th Annual Meeting of the Cognitive Science Society, 2022

Joint online inference of material properties and object shape.

[BibT_eX]

[DOI]

Vivian C. Paulun

Proceedings of the 44th Annual Meeting of the Cognitive Science Society, 2022

Flexibility in Moral Cognition: When is it okay to break the rules?

[BibT_eX]

[DOI]

Joseph Kwon

Sydney Levine

Proceedings of the 44th Annual Meeting of the Cognitive Science Society, 2022

Modeling risky food sharing as rational communication about relationships.

[BibT_eX]

[DOI]

Proceedings of the 44th Annual Meeting of the Cognitive Science Society, 2022

Benchmarking mid-level vision with texture-defined 3D objects.

[BibT_eX]

[DOI]

Proceedings of the 44th Annual Meeting of the Cognitive Science Society, 2022

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

[BibT_eX]

[DOI]

Proceedings of the 44th Annual Meeting of the Cognitive Science Society, 2022

Preschoolers' sensitivity to abstract correlations in the properties of sets and functions.

[BibT_eX]

[DOI]

Proceedings of the 44th Annual Meeting of the Cognitive Science Society, 2022

MOST-GAN: 3D Morphable StyleGAN for Disentangled Face Image Manipulation.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

Discovering State and Action Abstractions for Generalized Task and Motion Planning.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

Too Many cooks: Bayesian inference for coordinating Multi-agent Collaboration.

[BibT_eX]

[DOI]

Proceedings of the Human-Like Machine Intelligence., 2022

2021

Too Many Cooks: Bayesian Inference for Coordinating Multi-Agent Collaboration.

[BibT_eX]

[DOI]

Top. Cogn. Sci., 2021

Data-Efficient Learning for Complex and Real-Time Physical Problem Solving Using Augmented Simulation.

[BibT_eX]

[DOI]

IEEE Robotics Autom. Lett., 2021

World model learning and inference.

[BibT_eX]

[DOI]

Neural Networks, 2021

Vector-based pedestrian navigation in cities.

[BibT_eX]

[DOI]

Nat. Comput. Sci., 2021

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

[BibT_eX]

[DOI]

CoRR, 2021

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

[BibT_eX]

[DOI]

CoRR, 2021

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

[BibT_eX]

[DOI]

CoRR, 2021

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

[BibT_eX]

[DOI]

CoRR, 2021

Probabilistic Programming Bots in Intuitive Physics Game Play.

[BibT_eX]

[DOI]

Fahad Alhasoun

Sarah Alnegheimish

CoRR, 2021

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

[BibT_eX]

[DOI]

CoRR, 2021

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

[BibT_eX]

[DOI]

Nicholas Watters

Mehrdad Jazayeri

CoRR, 2021

Plans or Outcomes: How Do We Attribute Intelligence to Others?

[BibT_eX]

[DOI]

Cogn. Sci., 2021

DreamCoder: bootstrapping inductive program synthesis with wake-sleep library learning.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021

Light Field Networks: Neural Scene Representations with Single-Evaluation Rendering.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Maxwell I. Nye

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Grammar-Based Grounded Lexicon Learning.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Learning to Compose Visual Relations.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Nishad Gothoskar

Marco F. Cusumano-Towner

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

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

[BibT_eX]

[DOI]

Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021

Unsupervised Learning of Compositional Energy Concepts.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021

Noether Networks: meta-learning useful conserved quantities.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

Learning Symbolic Operators for Task and Motion Planning.

[BibT_eX]

[DOI]

Rohan Chitnis

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

OPEn: An Open-ended Physics Environment for Learning Without a Task.

[BibT_eX]

[DOI]

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

Temporal and Object Quantification Networks.

[BibT_eX]

[DOI]

Tomer D. Ullman

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Leveraging Language to Learn Program Abstractions and Search Heuristics.

[BibT_eX]

[DOI]

Proceedings of the 38th International Conference on Machine Learning, 2021

AGENT: A Benchmark for Core Psychological Reasoning.

[BibT_eX]

[DOI]

Proceedings of the 38th International Conference on Machine Learning, 2021

Improved Contrastive Divergence Training of Energy-Based Models.

[BibT_eX]

[DOI]

Proceedings of the 38th International Conference on Machine Learning, 2021

A large-scale benchmark for few-shot program induction and synthesis.

[BibT_eX]

[DOI]

Ferran Alet

Javier Lopez-Contreras

Proceedings of the 38th International Conference on Machine Learning, 2021

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

[BibT_eX]

[DOI]

Proceedings of the 9th International Conference on Learning Representations, 2021

Representing Partial Programs with Blended Abstract Semantics.

[BibT_eX]

[DOI]

Proceedings of the 9th International Conference on Learning Representations, 2021

Learning Task Decomposition with Ordered Memory Policy Network.

[BibT_eX]

[DOI]

Proceedings of the 9th International Conference on Learning Representations, 2021

PlasticineLab: A Soft-Body Manipulation Benchmark with Differentiable Physics.

[BibT_eX]

[DOI]

Proceedings of the 9th International Conference on Learning Representations, 2021

Unsupervised Discovery of 3D Physical Objects from Video.

[BibT_eX]

[DOI]

Proceedings of the 9th International Conference on Learning Representations, 2021

Grounding Physical Concepts of Objects and Events Through Dynamic Visual Reasoning.

[BibT_eX]

[DOI]

Zhenfang Chen

Jiayuan Mao

Jiajun Wu

Kwan-Yee Kenneth Wong

Chuang Gan

Proceedings of the 9th International Conference on Learning Representations, 2021

Learning with AMIGo: Adversarially Motivated Intrinsic Goals.

[BibT_eX]

[DOI]

Proceedings of the 9th International Conference on Learning Representations, 2021

Building 3D Morphable Models from a Single Scan.

[BibT_eX]

[DOI]

Skylar Sutherland

Bernhard Egger

Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021

Neural Radiance Flow for 4D View Synthesis and Video Processing.

[BibT_eX]

[DOI]

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Identity-Expression Ambiguity in 3D Morphable Face Models.

[BibT_eX]

[DOI]

Proceedings of the 16th IEEE International Conference on Automatic Face and Gesture Recognition, 2021

Single-Shot Scene Reconstruction.

[BibT_eX]

[DOI]

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

Unpacking the computations of human spatial search under uncertainty: noisy utility maximization, discounting, and probability warping.

[BibT_eX]

[DOI]

Proceedings of the 43rd Annual Meeting of the Cognitive Science Society, 2021

Seeing in the dark: Testing deep neural network and analysis-by-synthesis accounts of 3D shape perception with highly degraded images.

[BibT_eX]

[DOI]

Proceedings of the 43rd Annual Meeting of the Cognitive Science Society, 2021

Modeling human planning in a life-like search-and-rescue mission.

[BibT_eX]

[DOI]

Proceedings of the 43rd Annual Meeting of the Cognitive Science Society, 2021

Language as a bootstrap for compositional visual reasoning.

[BibT_eX]

[DOI]

Proceedings of the 43rd Annual Meeting of the Cognitive Science Society, 2021

Growing knowledge culturally across generations to solve novel, complex task.

[BibT_eX]

[DOI]

Proceedings of the 43rd Annual Meeting of the Cognitive Science Society, 2021

Combining rules and simulation to explain infant physical learning.

[BibT_eX]

[DOI]

João Loula

Proceedings of the 43rd Annual Meeting of the Cognitive Science Society, 2021

Engineering and reverse-engineering morality.

[BibT_eX]

[DOI]

Proceedings of the 43rd Annual Meeting of the Cognitive Science Society, 2021

The Omniglot Jr. challenge; Can a model achieve child-level character generation and classification?

[BibT_eX]

[DOI]

Proceedings of the 43rd Annual Meeting of the Cognitive Science Society, 2021

Explaining the Gestalt principle of common fate as amortized inference.

[BibT_eX]

[DOI]

Proceedings of the 43rd Annual Meeting of the Cognitive Science Society, 2021

Core knowledge objects in reasoning and language use for highly abstract inductive tasks.

[BibT_eX]

[DOI]

Proceedings of the 43rd Annual Meeting of the Cognitive Science Society, 2021

Explore, Exploit, Create: Inventing goals in play.

[BibT_eX]

[DOI]

Sophia Diggs-Galligan

Junyi Chu

Proceedings of the 43rd Annual Meeting of the Cognitive Science Society, 2021

Using Games to Understand Intelligence.

[BibT_eX]

[DOI]

Proceedings of the 43rd Annual Meeting of the Cognitive Science Society, 2021

Meta-strategy learning in physical problem-solving: the effect of embodied experience.

[BibT_eX]

[DOI]

Proceedings of the 43rd Annual Meeting of the Cognitive Science Society, 2021

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

[BibT_eX]

[DOI]

Proceedings of the 43rd Annual Meeting of the Cognitive Science Society, 2021

LARC: Language annotated Abstraction and Reasoning Corpus.

[BibT_eX]

[DOI]

Proceedings of the 43rd Annual Meeting of the Cognitive Science Society, 2021

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

[BibT_eX]

[DOI]

Proceedings of the 43rd Annual Meeting of the Cognitive Science Society, 2021

Augmenting Policy Learning with Routines Discovered from a Single Demonstration.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

Planning with Learned Object Importance in Large Problem Instances using Graph Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

PHASE: PHysically-grounded Abstract Social Events for Machine Social Perception.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

GLIB: Efficient Exploration for Relational Model-Based Reinforcement Learning via Goal-Literal Babbling.

[BibT_eX]

[DOI]

Rohan Chitnis

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Augmenting Policy Learning with Routines Discovered from a Demonstration.

[BibT_eX]

[DOI]

CoRR, 2020

Object-Centric Diagnosis of Visual Reasoning.

[BibT_eX]

[DOI]

CoRR, 2020

Towards Human-Level Learning of Complex Physical Puzzles.

[BibT_eX]

[DOI]

CoRR, 2020

Learning Online Data Association.

[BibT_eX]

[DOI]

Yilun Du

CoRR, 2020

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

[BibT_eX]

[DOI]

CoRR, 2020

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

[BibT_eX]

[DOI]

CoRR, 2020

Unsupervised Discovery of 3D Physical Objects from Video.

[BibT_eX]

[DOI]

CoRR, 2020

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

[BibT_eX]

[DOI]

CoRR, 2020

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

[BibT_eX]

[DOI]

CoRR, 2020

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

[BibT_eX]

[DOI]

CoRR, 2020

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

[BibT_eX]

[DOI]

Rohan Chitnis

CoRR, 2020

Learning to learn generative programs with Memoised Wake-Sleep.

[BibT_eX]

[DOI]

Luke B. Hewitt

Tuan Anh Le

Proceedings of the Thirty-Sixth Conference on Uncertainty in Artificial Intelligence, 2020

Online Bayesian Goal Inference for Boundedly Rational Planning Agents.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Program Synthesis with Pragmatic Communication.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

DualSMC: Tunneling Differentiable Filtering and Planning under Continuous POMDPs.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Accurate Vision-based Manipulation through Contact Reasoning.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

Look, Listen, and Act: Towards Audio-Visual Embodied Navigation.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

Visual Grounding of Learned Physical Models.

[BibT_eX]

[DOI]

Proceedings of the 37th International Conference on Machine Learning, 2020

Deep Audio Priors Emerge From Harmonic Convolutional Networks.

[BibT_eX]

[DOI]

Proceedings of the 8th International Conference on Learning Representations, 2020

CLEVRER: Collision Events for Video Representation and Reasoning.

[BibT_eX]

[DOI]

Proceedings of the 8th International Conference on Learning Representations, 2020

Rethinking Few-Shot Image Classification: A Good Embedding is All You Need?

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2020, 2020

Foley Music: Learning to Generate Music from Videos.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2020, 2020

Probabilistic Video Prediction From Noisy Data With a Posterior Confidence.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

A Morphable Face Albedo Model.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

End-to-End Optimization of Scene Layout.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Perspective Plane Program Induction From a Single Image.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Music Gesture for Visual Sound Separation.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

A Long Horizon Planning Framework for Manipulating Rigid Pointcloud Objects.

[BibT_eX]

[DOI]

Anthony Simeonov

Yilun Du

Beomjoon Kim

Francois Robert Hogan

Pulkit Agrawal

Alberto Rodriguez

Proceedings of the 4th Conference on Robot Learning, 2020

Too many cooks: Coordinating multi-agent collaboration through inverse planning.

[BibT_eX]

[DOI]

Proceedings of the 42th Annual Meeting of the Cognitive Science Society, 2020

How many observations is one generic worth?

[BibT_eX]

[DOI]

Sophie Bridgers

Proceedings of the 42th Annual Meeting of the Cognitive Science Society, 2020

Learning a Generative Model of Human Faces Through Inverse Rendering.

[BibT_eX]

[DOI]

Skylar Sutherland

Bernhard Egger

Proceedings of the 42th Annual Meeting of the Cognitive Science Society, 2020

Adventures in Flatland: Perceiving Social Interactions Under Physical Dynamics.

[BibT_eX]

[DOI]

Proceedings of the 42th Annual Meeting of the Cognitive Science Society, 2020

Social Learning with Sparse Belief Samples.

[BibT_eX]

[DOI]

Proceedings of the 42th Annual Meeting of the Cognitive Science Society, 2020

Learning sequential patterns from graphical programs.

[BibT_eX]

[DOI]

Proceedings of the 42th Annual Meeting of the Cognitive Science Society, 2020

Humans measure algorithmic complexity to guide engagement with event sequences.

[BibT_eX]

[DOI]

Proceedings of the 42th Annual Meeting of the Cognitive Science Society, 2020

A Task and Motion Approach to the Development of Planning.

[BibT_eX]

[DOI]

João Loula

Proceedings of the 42th Annual Meeting of the Cognitive Science Society, 2020

Leveraging Unstructured Statistical Knowledge in a Probabilistic Language of Thought.

[BibT_eX]

[DOI]

Alexander K. Lew

Vikash Mansinghka

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.

[BibT_eX]

[DOI]

Proceedings of the 42th Annual Meeting of the Cognitive Science Society, 2020

Inverse Rendering Best Explains Face Perception Under Extreme Illuminations.

[BibT_eX]

[DOI]

Proceedings of the 42th Annual Meeting of the Cognitive Science Society, 2020

Perceiving unseen objects.

[BibT_eX]

[DOI]

Katherine M. Collins

Kevin Smith

Proceedings of the 42th Annual Meeting of the Cognitive Science Society, 2020

Abstract strategy learning underlies flexible transfer in physical problem solving.

[BibT_eX]

[DOI]

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?

[BibT_eX]

[DOI]

Proceedings of the 42th Annual Meeting of the Cognitive Science Society, 2020

The Origins of Common Sense in Humans and Machines.

[BibT_eX]

[DOI]

Proceedings of the 42th Annual Meeting of the Cognitive Science Society, 2020

Few-Shot Bayesian Imitation Learning with Logical Program Policies.

[BibT_eX]

[DOI]

Alex K. Lew

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

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

[BibT_eX]

[DOI]

Sci. Robotics, 2019

Modeling human intuitions about liquid flow with particle-based simulation.

[BibT_eX]

[DOI]

PLoS Comput. Biol., 2019

Machine behaviour.

[BibT_eX]

[DOI]

Nat., 2019

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

[BibT_eX]

[DOI]

CoRR, 2019

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

[BibT_eX]

[DOI]

CoRR, 2019

Few-Shot Bayesian Imitation Learning with Logic over Programs.

[BibT_eX]

[DOI]

Alex K. Lew

CoRR, 2019

The Omniglot Challenge: A 3-Year Progress Report.

[BibT_eX]

[DOI]

CoRR, 2019

Visualizing and Understanding Generative Adversarial Networks (Extended Abstract).

[BibT_eX]

[DOI]

CoRR, 2019

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

[BibT_eX]

[DOI]

Cogn. Sci., 2019

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

[BibT_eX]

[DOI]

Cogn. Sci., 2019

DensePhysNet: Learning Dense Physical Object Representations Via Multi-Step Dynamic Interactions.

[BibT_eX]

[DOI]

Proceedings of the Robotics: Science and Systems XV, 2019

Modeling Expectation Violation in Intuitive Physics with Coarse Probabilistic Object Representations.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Visual Concept-Metaconcept Learning.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Propagation Networks for Model-Based Control Under Partial Observation.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Robotics and Automation, 2019

ChainQueen: A Real-Time Differentiable Physical Simulator for Soft Robotics.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Robotics and Automation, 2019

Combining Physical Simulators and Object-Based Networks for Control.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Robotics and Automation, 2019

Learning to Infer Program Sketches.

[BibT_eX]

[DOI]

Proceedings of the 36th International Conference on Machine Learning, 2019

Neurally-Guided Structure Inference.

[BibT_eX]

[DOI]

Proceedings of the 36th International Conference on Machine Learning, 2019

Infinite Mixture Prototypes for Few-shot Learning.

[BibT_eX]

[DOI]

Proceedings of the 36th International Conference on Machine Learning, 2019

Unsupervised Discovery of Parts, Structure, and Dynamics.

[BibT_eX]

[DOI]

Proceedings of the 7th International Conference on Learning Representations, 2019

Learning to Infer and Execute 3D Shape Programs.

[BibT_eX]

[DOI]

Proceedings of the 7th International Conference on Learning Representations, 2019

Stochastic Prediction of Multi-Agent Interactions from Partial Observations.

[BibT_eX]

[DOI]

Proceedings of the 7th International Conference on Learning Representations, 2019

The Neuro-Symbolic Concept Learner: Interpreting Scenes, Words, and Sentences From Natural Supervision.

[BibT_eX]

[DOI]

Proceedings of the 7th International Conference on Learning Representations, 2019

Learning to Describe Scenes with Programs.

[BibT_eX]

[DOI]

Proceedings of the 7th International Conference on Learning Representations, 2019

Learning Particle Dynamics for Manipulating Rigid Bodies, Deformable Objects, and Fluids.

[BibT_eX]

[DOI]

Proceedings of the 7th International Conference on Learning Representations, 2019

Reasoning About Physical Interactions with Object-Oriented Prediction and Planning.

[BibT_eX]

[DOI]

Proceedings of the 7th International Conference on Learning Representations, 2019

Visualizing and Understanding GANs.

[BibT_eX]

[DOI]

Proceedings of the Deep Generative Models for Highly Structured Data, 2019

GAN Dissection: Visualizing and Understanding Generative Adversarial Networks.

[BibT_eX]

[DOI]

Proceedings of the 7th International Conference on Learning Representations, 2019

Program-Guided Image Manipulators.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Entity Abstraction in Visual Model-Based Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the 3rd Annual Conference on Robot Learning, 2019

Explaining intuitive difficulty judgments by modeling physical effort and risk.

[BibT_eX]

[DOI]

Proceedings of the 41th Annual Meeting of the Cognitive Science Society, 2019

The effects of object motion observations on physical prediction.

[BibT_eX]

[DOI]

Moyuru Yamada

Proceedings of the 41th Annual Meeting of the Cognitive Science Society, 2019

Modeling Expertise with Neurally-Guided Bayesian Program Induction.

[BibT_eX]

[DOI]

Proceedings of the 41th Annual Meeting of the Cognitive Science Society, 2019

Draping an Elephant: Uncovering Children's Reasoning About Cloth-Covered Objects.

[BibT_eX]

[DOI]

Proceedings of the 41th Annual Meeting of the Cognitive Science Society, 2019

Real-time inference of physical properties in dynamic scenes.

[BibT_eX]

[DOI]

Proceedings of the 41th Annual Meeting of the Cognitive Science Society, 2019

Learning a novel rule-based conceptual system.

[BibT_eX]

[DOI]

Steven T. Piantadosi

Proceedings of the 41th Annual Meeting of the Cognitive Science Society, 2019

Inferring Structured Visual Concepts from Minimal Data.

[BibT_eX]

[DOI]

Proceedings of the 41th Annual Meeting of the Cognitive Science Society, 2019

Extending Rationality.

[BibT_eX]

[DOI]

Proceedings of the 41th Annual Meeting of the Cognitive Science Society, 2019

Discovering a symbolic planning language from continuous experience.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the 41th Annual Meeting of the Cognitive Science Society, 2019

Choosing the unimaginable: Social psychological factors in seeking transformative experiences.

[BibT_eX]

[DOI]

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?

[BibT_eX]

[DOI]

Proceedings of the 41th Annual Meeting of the Cognitive Science Society, 2019

Emotion attributions echo the structure of people's intuitive theory of psychology.

[BibT_eX]

[DOI]

Proceedings of the 41th Annual Meeting of the Cognitive Science Society, 2019

When circumstances change, update your pronouns.

[BibT_eX]

[DOI]

Proceedings of the 41th Annual Meeting of the Cognitive Science Society, 2019

A rational model of syntactic bootstrapping.

[BibT_eX]

[DOI]

Jon Gauthier

Roger Levy

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.

[BibT_eX]

[DOI]

Proceedings of the 41th Annual Meeting of the Cognitive Science Society, 2019

Query-guided visual search.

[BibT_eX]

[DOI]

Proceedings of the 41th Annual Meeting of the Cognitive Science Society, 2019

Simplicity and Probability in Human Judgment.

[BibT_eX]

[DOI]

Tyler Brooke-Wilson

Jonathan S. Rosenfeld

Matthias Hofer

Junyi Chu

Proceedings of the 41th Annual Meeting of the Cognitive Science Society, 2019

Rapid Trial-and-Error Learning in Physical Problem Solving.

[BibT_eX]

[DOI]

Proceedings of the 41th Annual Meeting of the Cognitive Science Society, 2019

Theory of Minds: Understanding Behavior in Groups through Inverse Planning.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

3D Interpreter Networks for Viewer-Centered Wireframe Modeling.

[BibT_eX]

[DOI]

Int. J. Comput. Vis., 2018

Residual Policy Learning.

[BibT_eX]

[DOI]

CoRR, 2018

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

[BibT_eX]

[DOI]

CoRR, 2018

At Human Speed: Deep Reinforcement Learning with Action Delay.

[BibT_eX]

[DOI]

Vlad Firoiu

Tina Ju

CoRR, 2018

Logical Rule Induction and Theory Learning Using Neural Theorem Proving.

[BibT_eX]

[DOI]

CoRR, 2018

Discovery and usage of joint attention in images.

[BibT_eX]

[DOI]

Daniel Harari

Filipe de Avila Belbute-Peres

Shimon Ullman

CoRR, 2018

The Three Pillars of Machine-Based Programming.

[BibT_eX]

[DOI]

CoRR, 2018

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

[BibT_eX]

[DOI]

Jean-François Bonnefon

Iyad Rahwan

CoRR, 2018

Rational Inference of Beliefs and Desires From Emotional Expressions.

[BibT_eX]

[DOI]

Cogn. Sci., 2018

Unsupervised Learning of Latent Physical Properties Using Perception-Prediction Networks.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fourth Conference on Uncertainty in Artificial Intelligence, 2018

Differentiable Physics and Stable Modes for Tool-Use and Manipulation Planning.

[BibT_eX]

[DOI]

Proceedings of the Robotics: Science and Systems XIV, 2018

The three pillars of machine programming.

[BibT_eX]

[DOI]

Proceedings of the 2nd ACM SIGPLAN International Workshop on Machine Learning and Programming Languages, 2018

Visual Object Networks: Image Generation with Disentangled 3D Representations.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Alberto Rodriguez

Proceedings of the 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2018

Meta-Learning for Semi-Supervised Few-Shot Classification.

[BibT_eX]

[DOI]

Proceedings of the 6th International Conference on Learning Representations, 2018

Seeing Tree Structure from Vibration.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2018, 2018

Learning Shape Priors for Single-View 3D Completion And Reconstruction.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2018, 2018

Physical Primitive Decomposition.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2018, 2018

Inverting Audio-Visual Simulation for Shape and Material Perception.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2018

Pix3D: Dataset and Methods for Single-Image 3D Shape Modeling.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Moral Dynamics: A Computational Model of Moral Judgment.

[BibT_eX]

[DOI]

Proceedings of the 40th Annual Meeting of the Cognitive Science Society, 2018

Strategies and representations in physical inference.

[BibT_eX]

[DOI]

Proceedings of the 40th Annual Meeting of the Cognitive Science Society, 2018

Physical Inference for Object Perception in Complex Auditory Scenes.

[BibT_eX]

[DOI]

Josh H. McDermott

Proceedings of the 40th Annual Meeting of the Cognitive Science Society, 2018

Evidence for an Intuitive Physics Engine in the Human Brain.

[BibT_eX]

[DOI]

Proceedings of the 40th Annual Meeting of the Cognitive Science Society, 2018

Learning list concepts through program induction.

[BibT_eX]

[DOI]

Proceedings of the 40th Annual Meeting of the Cognitive Science Society, 2018

The Cognitive Mechanisms of Contractualist Moral Decision-Making.

[BibT_eX]

[DOI]

Proceedings of the 40th Annual Meeting of the Cognitive Science Society, 2018

The Evolution of Cooperation in Cognitively Flexible Agents.

[BibT_eX]

[DOI]

Proceedings of the 40th Annual Meeting of the Cognitive Science Society, 2018

Hierarchical Drift-Diffusion Model for Moral Dilemma: Understanding Reaction Times and Choices.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the 40th Annual Meeting of the Cognitive Science Society, 2018

Inductive Biases in the Evolution of Combinatorial Structure in Language.

[BibT_eX]

[DOI]

Matthias Hofer

Roger Levy

Proceedings of the 40th Annual Meeting of the Cognitive Science Society, 2018

Relational inductive bias for physical construction in humans and machines.

[BibT_eX]

[DOI]

Proceedings of the 40th Annual Meeting of the Cognitive Science Society, 2018

What happened? Reconstructing the past through vision and sound.

[BibT_eX]

[DOI]

Proceedings of the 40th Annual Meeting of the Cognitive Science Society, 2018

Word learning and the acquisition of syntactic-semantic overhypotheses.

[BibT_eX]

[DOI]

Jon Gauthier

Roger Levy

Proceedings of the 40th Annual Meeting of the Cognitive Science Society, 2018

Tiptoeing around it: Inference from absence in potentially offensive speech.

[BibT_eX]

[DOI]

Monica A. Gates

Tess L. Veuthey

Proceedings of the 40th Annual Meeting of the Cognitive Science Society, 2018

Learning to act by integrating mental simulations and physical experiments.

[BibT_eX]

[DOI]

Proceedings of the 40th Annual Meeting of the Cognitive Science Society, 2018

Auditory scene analysis as Bayesian inference in sound source models.

[BibT_eX]

[DOI]

Proceedings of the 40th Annual Meeting of the Cognitive Science Society, 2018

Learning as program induction.

[BibT_eX]

[DOI]

Proceedings of the 40th Annual Meeting of the Cognitive Science Society, 2018

Grounding Compositional Hypothesis Generation in Specific Instances.

[BibT_eX]

[DOI]

Proceedings of the 40th Annual Meeting of the Cognitive Science Society, 2018

Building Machines that Learn and Think Like People.

[BibT_eX]

[DOI]

Proceedings of the 17th International Conference on Autonomous Agents and MultiAgent Systems, 2018

A Computational Model of Commonsense Moral Decision Making.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

CoRR, 2017

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

[BibT_eX]

[DOI]

Vlad Firoiu

William F. Whitney

CoRR, 2017

Shape and Material from Sound.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Self-Supervised Intrinsic Image Decomposition.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the 5th International Conference on Learning Representations, 2017

Generative Modeling of Audible Shapes for Object Perception.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

Neural Scene De-rendering.

[BibT_eX]

[DOI]

Jiajun Wu

Pushmeet Kohli

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

Workshop proposal: Deep Learning in Computational Cognitive Science.

[BibT_eX]

[DOI]

Ilker Yildirim

Proceedings of the 39th Annual Meeting of the Cognitive Science Society, 2017

Causal and compositional generative models in online perception.

[BibT_eX]

[DOI]

Proceedings of the 39th Annual Meeting of the Cognitive Science Society, 2017

Physical problem solving: Joint planning with symbolic, geometric, and dynamic constraints.

[BibT_eX]

[DOI]

Proceedings of the 39th Annual Meeting of the Cognitive Science Society, 2017

Interpreting actions by attributing compositional desires.

[BibT_eX]

[DOI]

Proceedings of the 39th Annual Meeting of the Cognitive Science Society, 2017

Big Data and Little Learners.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the 39th Annual Meeting of the Cognitive Science Society, 2017

Preschoolers and Infants Calibrate Persistence from Adult Models.

[BibT_eX]

[DOI]

Proceedings of the 39th Annual Meeting of the Cognitive Science Society, 2017

Thinking and Guessing: Bayesian and Empirical Models of How Humans Search.

[BibT_eX]

[DOI]

Proceedings of the 39th Annual Meeting of the Cognitive Science Society, 2017

One-shot Learning and Classification in Children.

[BibT_eX]

[DOI]

Eliza Kosoy

Proceedings of the 39th Annual Meeting of the Cognitive Science Society, 2017

Cooperative Social Intelligence: Understanding and Acting with Other.

[BibT_eX]

[DOI]

Max Kleiman-Weiner

Yibiao Zhao

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?

[BibT_eX]

[DOI]

Max Kleiman-Weiner

Alex Shaw

Proceedings of the 39th Annual Meeting of the Cognitive Science Society, 2017

Faulty Towers: A hypothetical simulation model of physical support.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Andres Campero

Andrew Francl

Proceedings of the 39th Annual Meeting of the Cognitive Science Society, 2017

Simulation and heuristics in flexible tool use.

[BibT_eX]

[DOI]

Proceedings of the 39th Annual Meeting of the Cognitive Science Society, 2017

Human Learning in Atari.

[BibT_eX]

[DOI]

Proceedings of the 2017 AAAI Spring Symposia, 2017

2016

CrossCat: A Fully Bayesian Nonparametric Method for Analyzing Heterogeneous, High Dimensional Data.

[BibT_eX]

[DOI]

J. Mach. Learn. Res., 2016

Understanding Visual Concepts with Continuation Learning.

[BibT_eX]

[DOI]

CoRR, 2016

Building Machines That Learn and Think Like People.

[BibT_eX]

[DOI]

CoRR, 2016

The Emergence of Organizing Structure in Conceptual Representation.

[BibT_eX]

[DOI]

Neil D. Lawrence

CoRR, 2016

Human collective intelligence as distributed Bayesian inference.

[BibT_eX]

[DOI]

CoRR, 2016

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

[BibT_eX]

[DOI]

CoRR, 2016

Probing the Compositionality of Intuitive Functions.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Sampling for Bayesian Program Learning.

[BibT_eX]

[DOI]

Kevin Ellis

Armando Solar-Lezama

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2016

Single Image 3D Interpreter Network.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the 38th Annual Meeting of the Cognitive Science Society, 2016

Integrating physical reasoning and visual object recognition for fully occluded scene interpretation.

[BibT_eX]

[DOI]

Ilker Yildirim

Proceedings of the 38th Annual Meeting of the Cognitive Science Society, 2016

Coalescing the Vapors of Human Experience into a Viable and Meaningful Comprehension.

[BibT_eX]

[DOI]

Proceedings of the 38th Annual Meeting of the Cognitive Science Society, 2016

Outcome or Strategy? A Bayesian Model of Intelligence Attribution.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the 38th Annual Meeting of the Cognitive Science Society, 2016

The Naïve Utility Calculus unifies spatial and statistical routes to preference.

[BibT_eX]

[DOI]

Proceedings of the 38th Annual Meeting of the Cognitive Science Society, 2016

Feature-based Joint Planning and Norm Learning in Collaborative Games.

[BibT_eX]

[DOI]

Proceedings of the 38th Annual Meeting of the Cognitive Science Society, 2016

Understanding "almost": Empirical and computational studies of near misses.

[BibT_eX]

[DOI]

Proceedings of the 38th Annual Meeting of the Cognitive Science Society, 2016

Natural science: Active learning in dynamic physical microworlds.

[BibT_eX]

[DOI]

Neil Bramley

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.

[BibT_eX]

[DOI]

Ilker Yildirim

Proceedings of the 38th Annual Meeting of the Cognitive Science Society, 2016

Physics 101: Learning Physical Object Properties from Unlabeled Videos.

[BibT_eX]

[DOI]

Proceedings of the British Machine Vision Conference 2016, 2016

Modeling Human Understanding of Complex Intentional Action with a Bayesian Nonparametric Subgoal Model.

[BibT_eX]

[DOI]

Ryo Nakahashi

Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

Modeling Human Ad Hoc Coordination.

[BibT_eX]

[DOI]

Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015

Galileo: Perceiving Physical Object Properties by Integrating a Physics Engine with Deep Learning.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

Softstar: Heuristic-Guided Probabilistic Inference.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

Deep Convolutional Inverse Graphics Network.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

Unsupervised Learning by Program Synthesis.

[BibT_eX]

[DOI]

Kevin Ellis

Armando Solar-Lezama

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.

[BibT_eX]

[DOI]

Jonathan H. Huggins

Proceedings of the 32nd International Conference on Machine Learning, 2015

Picture: A probabilistic programming language for scene perception.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the 37th Annual Meeting of the Cognitive Science Society, 2015

Children's ability to infer beliefs and desires from emotional reactions.

[BibT_eX]

[DOI]

Proceedings of the 37th Annual Meeting of the Cognitive Science Society, 2015

Hypothesis-Space Constraints in Causal Learning.

[BibT_eX]

[DOI]

Pedro Tsividis

Proceedings of the 37th Annual Meeting of the Cognitive Science Society, 2015

Assessing the Perceived Predictability of Functions.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Eyal Dechter

Proceedings of the 37th Annual Meeting of the Cognitive Science Society, 2015

Emergent Collective Sensing in Human Groups.

[BibT_eX]

[DOI]

Proceedings of the 37th Annual Meeting of the Cognitive Science Society, 2015

Inference of Intention and Permissibility in Moral Decision Making.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Julian Jara-Ettinger

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.

[BibT_eX]

[DOI]

Proceedings of the 37th Annual Meeting of the Cognitive Science Society, 2015

Language & common sense: Integrating across psychology, linguistics, and computer science.

[BibT_eX]

[DOI]

Joshua K. Hartshorne

Proceedings of the 37th Annual Meeting of the Cognitive Science Society, 2015

Responsibility judgments in voting scenarios.

[BibT_eX]

[DOI]

Joseph Y. Halpern

Proceedings of the 37th Annual Meeting of the Cognitive Science Society, 2015

How, whether, why: Causal judgments as counterfactual contrasts.

[BibT_eX]

[DOI]

Proceedings of the 37th Annual Meeting of the Cognitive Science Society, 2015

Phrase similarity in humans and machines.

[BibT_eX]

[DOI]

Proceedings of the 37th Annual Meeting of the Cognitive Science Society, 2015

Humans predict liquid dynamics using probabilistic simulation.

[BibT_eX]

[DOI]

Proceedings of the 37th Annual Meeting of the Cognitive Science Society, 2015

Go fishing! Responsibility judgments when cooperation breaks down.

[BibT_eX]

[DOI]

Proceedings of the 37th Annual Meeting of the Cognitive Science Society, 2015

Dimensionality Reduction via Program Induction.

[BibT_eX]

[DOI]

Kevin Ellis

Eyal Dechter

Proceedings of the 2015 AAAI Spring Symposia, 2015

Latent Predicate Networks: Concept Learning with Probabilistic Context-Sensitive Grammars.

[BibT_eX]

[DOI]

Eyal Dechter

Proceedings of the 2015 AAAI Spring Symposia, 2015

2014

Inverse Graphics with Probabilistic CAD Models.

[BibT_eX]

[DOI]

CoRR, 2014

Popularity and Performance: A Large-Scale Study.

[BibT_eX]

[DOI]

CoRR, 2014

When Computer Vision Gazes at Cognition.

[BibT_eX]

[DOI]

CoRR, 2014

One and Done? Optimal Decisions From Very Few Samples.

[BibT_eX]

[DOI]

Cogn. Sci., 2014

Bias reformulation for one-shot function induction.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the 36th Annual Meeting of the Cognitive Science Society, 2014

Learning physical theories from dynamical scenes.

[BibT_eX]

[DOI]

Proceedings of the 36th Annual Meeting of the Cognitive Science Society, 2014

Information Selection in Noisy Environments with Large Action Spaces.

[BibT_eX]

[DOI]

Proceedings of the 36th Annual Meeting of the Cognitive Science Society, 2014

Black boxes: Hypothesis testing via indirect perceptual evidence.

[BibT_eX]

[DOI]

Proceedings of the 36th Annual Meeting of the Cognitive Science Society, 2014

Error-Driven Stochastic Search for Theories and Concepts.

[BibT_eX]

[DOI]

Owen Lewis

Santiago Perez

Proceedings of the 36th Annual Meeting of the Cognitive Science Society, 2014

Computational Creativity: Generating new objects with a hierarchical Bayesian model.

[BibT_eX]

[DOI]

Proceedings of the 36th Annual Meeting of the Cognitive Science Society, 2014

One-shot learning of generative speech concepts.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the 36th Annual Meeting of the Cognitive Science Society, 2014

Probability, programs, and the mind: Building structured Bayesian models of cognition.

[BibT_eX]

[DOI]

Proceedings of the 36th Annual Meeting of the Cognitive Science Society, 2014

Wins above replacement: Responsibility attributions as counterfactual replacements.

[BibT_eX]

[DOI]

Proceedings of the 36th Annual Meeting of the Cognitive Science Society, 2014

From counterfactual simulation to causal judgment.

[BibT_eX]

[DOI]

Proceedings of the 36th Annual Meeting of the Cognitive Science Society, 2014

Automatic Construction and Natural-Language Description of Nonparametric Regression Models.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

Towards common-sense reasoning via conditional simulation: legacies of Turing in Artificial Intelligence.

[BibT_eX]

[DOI]

Cameron E. Freer

Daniel M. Roy

Proceedings of the Turing's Legacy: Developments from Turing's Ideas in Logic, 2014

2013

Learning with Hierarchical-Deep Models.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2013

Approximate Bayesian Image Interpretation using Generative Probabilistic Graphics Programs.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the IJCAI 2013, 2013

Structure Discovery in Nonparametric Regression through Compositional Kernel Search.

[BibT_eX]

[DOI]

Proceedings of the 30th International Conference on Machine Learning, 2013

Minimal Nativism: How does cognitive development get off the ground?

[BibT_eX]

[DOI]

Proceedings of the 35th Annual Meeting of the Cognitive Science Society, 2013

Physical predictions over time.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Julian Jara-Ettinger

Proceedings of the 35th Annual Meeting of the Cognitive Science Society, 2013

Inferring mass in complex physical scenes via probabilistic simulation.

[BibT_eX]

[DOI]

Proceedings of the 35th Annual Meeting of the Cognitive Science Society, 2013

Structured cognitive representations and complex inference in neural systems.

[BibT_eX]

[DOI]

Proceedings of the 35th Annual Meeting of the Cognitive Science Society, 2013

Bayesian vector analysis and the perception of hierarchical motion.

[BibT_eX]

[DOI]

Frank Jäkel

Proceedings of the 35th Annual Meeting of the Cognitive Science Society, 2013

2012

Multistability and Perceptual Inference.

[BibT_eX]

[DOI]

Edward Vul

Neural Comput., 2012

One-Shot Learning with a Hierarchical Nonparametric Bayesian Model.

[BibT_eX]

[DOI]

Proceedings of the Unsupervised and Transfer Learning, 2012

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

[BibT_eX]

[DOI]

Cameron E. Freer

Daniel M. Roy

CoRR, 2012

Exploiting compositionality to explore a large space of model structures.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the 2012 IEEE International Conference on Development and Learning and Epigenetic Robotics, 2012

Modeling the Perception of Intentions.

[BibT_eX]

[DOI]

Proceedings of the 34th Annual Meeting of the Cognitive Science Society, 2012

The Development of Joint Belief-Desire Inferences.

[BibT_eX]

[DOI]

Proceedings of the 34th Annual Meeting of the Cognitive Science Society, 2012

Exploring the Role of Representation in Models of Grammatical Category Acquisition.

[BibT_eX]

[DOI]

Proceedings of the 34th Annual Meeting of the Cognitive Science Society, 2012

Probabilistic generative models for counterfactual reasoning and blame attribution.

[BibT_eX]

[DOI]

Proceedings of the 34th Annual Meeting of the Cognitive Science Society, 2012

Computational, Cognitive, and Neural Models of Decision-making Biases.

[BibT_eX]

[DOI]

Proceedings of the 34th Annual Meeting of the Cognitive Science Society, 2012

Concept learning as motor program induction: A large-scale empirical study.

[BibT_eX]

[DOI]

Proceedings of the 34th Annual Meeting of the Cognitive Science Society, 2012

Learning What is Where from Social Observations.

[BibT_eX]

[DOI]

Julian Jara-Ettinger

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.

[BibT_eX]

[DOI]

Proceedings of the 34th Annual Meeting of the Cognitive Science Society, 2012

Noisy Newtons: Unifying process and dependency accounts of causal attribution.

[BibT_eX]

[DOI]

Proceedings of the 34th Annual Meeting of the Cognitive Science Society, 2012

Computational Models of Intuitive Physics.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Cogn. Sci., 2011

Learning to Learn with Compound HD Models.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

David Wingate

Daniel M. Roy

Proceedings of the IJCAI 2011, 2011

Infinite Dynamic Bayesian Networks.

[BibT_eX]

[DOI]

Proceedings of the 28th International Conference on Machine Learning, 2011

Learning to share visual appearance for multiclass object detection.

[BibT_eX]

[DOI]

Proceedings of the 24th IEEE Conference on Computer Vision and Pattern Recognition, 2011

Learning individual words and learning about words simultaneously.

[BibT_eX]

[DOI]

Proceedings of the 33th Annual Meeting of the Cognitive Science Society, 2011

Forward Physics: How people learn and generalize novel dynamical models.

[BibT_eX]

[DOI]

Tomer D. Ullman

Proceedings of the 33th Annual Meeting of the Cognitive Science Society, 2011

Productivity and Reuse in Language: a Developmental Study.

[BibT_eX]

[DOI]

Proceedings of the 33th Annual Meeting of the Cognitive Science Society, 2011

Productivity and Reuse in Language.

[BibT_eX]

[DOI]

Proceedings of the 33th Annual Meeting of the Cognitive Science Society, 2011

One shot learning of simple visual concepts.

[BibT_eX]

[DOI]

Proceedings of the 33th Annual Meeting of the Cognitive Science Society, 2011

Probabilistic internal physics models guide judgments about object dynamics.

[BibT_eX]

[DOI]

Jessica B. Hamrick

Peter W. Battaglia

Proceedings of the 33th Annual Meeting of the Cognitive Science Society, 2011

Bayesian Theory of Mind: Modeling Joint Belief-Desire Attribution.

[BibT_eX]

[DOI]

Rebecca Saxe

Proceedings of the 33th Annual Meeting of the Cognitive Science Society, 2011

2010

Learning to Learn Causal Models.

[BibT_eX]

[DOI]

Charles Kemp

Cogn. Sci., 2010

Dynamic Infinite Relational Model for Time-varying Relational Data Analysis.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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>.

[BibT_eX]

[DOI]

Cogn. Sci., 2009

The Infinite Latent Events Model.

[BibT_eX]

[DOI]

Proceedings of the UAI 2009, 2009

Explaining human multiple object tracking as resource-constrained approximate inference in a dynamic probabilistic model.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Ilya Sutskever

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.

[BibT_eX]

[DOI]

Ed Vul

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.

[BibT_eX]

[DOI]

IEEE Trans. Speech Audio Process., 2008

The discovery of structural form.

[BibT_eX]

[DOI]

Charles Kemp

Proc. Natl. Acad. Sci. USA, 2008

A Rational Analysis of Rule-Based Concept Learning.

[BibT_eX]

[DOI]

Cogn. Sci., 2008

Church: a language for generative models.

[BibT_eX]

[DOI]

Proceedings of the UAI 2008, 2008

Building Theories of the World: Human and Machine Learning Perspectives.

[BibT_eX]

[DOI]

Proceedings of the Inductive Logic Programming, 18th International Conference, 2008

2007

Parametric Embedding for Class Visualization.

[BibT_eX]

[DOI]

Neural Comput., 2007

AClass: A simple, online, parallelizable algorithm for probabilistic classification.

[BibT_eX]

[DOI]

Proceedings of the Eleventh International Conference on Artificial Intelligence and Statistics, 2007

Learning and using relational theories.

[BibT_eX]

[DOI]

Charles Kemp

Proceedings of the Advances in Neural Information Processing Systems 20, 2007

A Bayesian Framework for Cross-Situational Word-Learning.

[BibT_eX]

[DOI]

Michael C. Frank

Proceedings of the Advances in Neural Information Processing Systems 20, 2007

2006

Structured Priors for Structure Learning.

[BibT_eX]

[DOI]

Proceedings of the UAI '06, 2006

Learning annotated hierarchies from relational data.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 19, 2006

Multiple timescales and uncertainty in motor adaptation.

[BibT_eX]

[DOI]

Konrad P. Körding

Reza Shadmehr

Proceedings of the Advances in Neural Information Processing Systems 19, 2006

Causal inference in sensorimotor integration.

[BibT_eX]

[DOI]

Konrad P. Körding

Proceedings of the Advances in Neural Information Processing Systems 19, 2006

Combining causal and similarity-based reasoning.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 19, 2006

Unsupervised Topic Modelling for Multi-Party Spoken Discourse.

[BibT_eX]

[DOI]

Proceedings of the ACL 2006, 2006

Learning Systems of Concepts with an Infinite Relational Model.

[BibT_eX]

[DOI]

Proceedings of the Proceedings, 2006

2005

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

[BibT_eX]

[DOI]

Mark Steyvers

Cogn. Sci., 2005

Bayesian models of human action understanding.

[BibT_eX]

[DOI]

Rebecca Saxe

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.

[BibT_eX]

[DOI]

David M. Sobel

Alison Gopnik

Cogn. Sci., 2004

Integrating Topics and Syntax.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Egon C. Pasztor

ACM Trans. Graph., 2003

Inferring causal networks from observations and interventions.

[BibT_eX]

[DOI]

Cogn. Sci., 2003

Semi-Supervised Learning with Trees.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 16 [Neural Information Processing Systems, 2003

From Algorithmic to Subjective Randomness.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 16 [Neural Information Processing Systems, 2003

Hierarchical Topic Models and the Nested Chinese Restaurant Process.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 16 [Neural Information Processing Systems, 2003

2002

Theory-Based Causal Inference.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 15 [Neural Information Processing Systems, 2002

Global Versus Local Methods in Nonlinear Dimensionality Reduction.

[BibT_eX]

[DOI]

Vin de Silva

Proceedings of the Advances in Neural Information Processing Systems 15 [Neural Information Processing Systems, 2002

Bayesian Models of Inductive Generalization.

[BibT_eX]

[DOI]

Neville E. Sanjana

Proceedings of the Advances in Neural Information Processing Systems 15 [Neural Information Processing Systems, 2002

Dynamical Causal Learning.

[BibT_eX]

[DOI]

David Danks

Proceedings of the Advances in Neural Information Processing Systems 15 [Neural Information Processing Systems, 2002

2001

Using Vocabulary Knowledge in Bayesian Multinomial Estimation.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Neural Comput., 2000

Structure Learning in Human Causal Induction.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 13, 2000

1999

Rules and Similarity in Concept Learning.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 10, 1997

Learning bilinear models for two-factor problems in vision.

[BibT_eX]

[DOI]

Proceedings of the 1997 Conference on Computer Vision and Pattern Recognition (CVPR '97), 1997

1996

Separating Style and Content.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 9, 1996

1995

Learning the Structure of Similarity.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 8, 1995

1994

Factorial Learning by Clustering Features.

[BibT_eX]

[DOI]