Yilun Du

David Hsu

CoRR, 2024

Towards Generalist Robot Learning from Internet Video: A Survey.

[BibT_eX]

[DOI]

Thomas George Thuruthel

Zhibin Li

CoRR, 2024

COMBO: Compositional World Models for Embodied Multi-Agent Cooperation.

[BibT_eX]

[DOI]

CoRR, 2024

Video as the New Language for Real-World Decision Making.

[BibT_eX]

[DOI]

CoRR, 2024

Bridging Associative Memory and Probabilistic Modeling.

[BibT_eX]

[DOI]

CoRR, 2024

PoCo: Policy Composition from and for Heterogeneous Robot Learning.

[BibT_eX]

[DOI]

CoRR, 2024

Compositional Generative Modeling: A Single Model is Not All You Need.

[BibT_eX]

[DOI]

CoRR, 2024

RoboDreamer: Learning Compositional World Models for Robot Imagination.

[BibT_eX]

[DOI]

Proceedings of the Forty-first International Conference on Machine Learning, 2024

3D-VLA: A 3D Vision-Language-Action Generative World Model.

[BibT_eX]

[DOI]

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Position: Video as the New Language for Real-World Decision Making.

[BibT_eX]

[DOI]

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Compositional Image Decomposition with Diffusion Models.

[BibT_eX]

[DOI]

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Potential Based Diffusion Motion Planning.

[BibT_eX]

[DOI]

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Learning Iterative Reasoning through Energy Diffusion.

[BibT_eX]

[DOI]

Jiayuan Mao

Joshua B. Tenenbaum

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Position: Compositional Generative Modeling: A Single Model is Not All You Need.

[BibT_eX]

[DOI]

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Improving Factuality and Reasoning in Language Models through Multiagent Debate.

[BibT_eX]

[DOI]

Proceedings of the Forty-first International Conference on Machine Learning, 2024

HAZARD Challenge: Embodied Decision Making in Dynamically Changing Environments.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Building Cooperative Embodied Agents Modularly with Large Language Models.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Learning Interactive Real-World Simulators.

[BibT_eX]

[DOI]

Sherry Yang

Seyed Kamyar Seyed Ghasemipour

Jonathan Tompson

Dale Schuurmans

Pieter Abbeel

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Probabilistic Adaptation of Black-Box Text-to-Video Models.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Compositional Generative Inverse Design.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Learning to Jointly Understand Visual and Tactile Signals.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Learning to Act from Actionless Videos through Dense Correspondences.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Video Language Planning.

[BibT_eX]

[DOI]

Andy Zeng

Jonathan Tompson

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Training Diffusion Models with Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Large-Scale Reinforcement Learning for Diffusion Models.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2024, 2024

Wake-Sleep Energy Based Models for Continual Learning.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

Learning Interactive Real-World Simulators.

[BibT_eX]

[DOI]

CoRR, 2023

Probabilistic Adaptation of Text-to-Video Models.

[BibT_eX]

[DOI]

CoRR, 2023

Foundation Models for Decision Making: Problems, Methods, and Opportunities.

[BibT_eX]

[DOI]

CoRR, 2023

StructDiffusion: Language-Guided Creation of Physically-Valid Structures using Unseen Objects.

[BibT_eX]

[DOI]

Proceedings of the Robotics: Science and Systems XIX, Daegu, 2023

NeuSE: Neural SE(3)-Equivariant Embedding for Consistent Spatial Understanding with Objects.

[BibT_eX]

[DOI]

Proceedings of the Robotics: Science and Systems XIX, Daegu, 2023

Diffusion Policy: Visuomotor Policy Learning via Action Diffusion.

[BibT_eX]

[DOI]

Proceedings of the Robotics: Science and Systems XIX, Daegu, 2023

Adaptive Online Replanning with Diffusion Models.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

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

[BibT_eX]

[DOI]

Tsun-Hsuan Johnson Wang

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

FlowCam: Training Generalizable 3D Radiance Fields without Camera Poses via Pixel-Aligned Scene Flow.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

3D-LLM: Injecting the 3D World into Large Language Models.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Secure Out-of-Distribution Task Generalization with Energy-Based Models.

[BibT_eX]

[DOI]

Shengzhuang Chen

Long-Kai Huang

Jonathan Richard Schwarz

Ying Wei

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.

[BibT_eX]

[DOI]

Akash Srivastava

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Visibility-Aware Navigation Among Movable Obstacles.

[BibT_eX]

[DOI]

Jose Muguira-Iturralde

Aidan Curtis

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

Local Neural Descriptor Fields: Locally Conditioned Object Representations for Manipulation.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

Inferring Relational Potentials in Interacting Systems.

[BibT_eX]

[DOI]

Armand Comas Massague

Christian Fernandez Lopez

Proceedings of the International Conference on Machine Learning, 2023

Reduce, Reuse, Recycle: Compositional Generation with Energy-Based Diffusion Models and MCMC.

[BibT_eX]

[DOI]

Jascha Sohl-Dickstein

Arnaud Doucet

Will Sussman Grathwohl

Proceedings of the International Conference on Machine Learning, 2023

Neural Groundplans: Persistent Neural Scene Representations from a Single Image.

[BibT_eX]

[DOI]

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Composing Ensembles of Pre-trained Models via Iterative Consensus.

[BibT_eX]

[DOI]

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Planning with Sequence Models through Iterative Energy Minimization.

[BibT_eX]

[DOI]

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Is Conditional Generative Modeling all you need for Decision Making?

[BibT_eX]

[DOI]

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Unsupervised Compositional Concepts Discovery with Text-to-Image Generative Models.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

3D Concept Learning and Reasoning from Multi-View Images.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Learning to Render Novel Views from Wide-Baseline Stereo Pairs.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Compositional Diffusion-Based Continuous Constraint Solvers.

[BibT_eX]

[DOI]

Proceedings of the Conference on Robot Learning, 2023

2022

SE(3)-Equivariant Relational Rearrangement with Neural Descriptor Fields.

[BibT_eX]

[DOI]

CoRR, 2022

Self-conditioned Embedding Diffusion for Text Generation.

[BibT_eX]

[DOI]

CoRR, 2022

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

[BibT_eX]

[DOI]

CoRR, 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

Pre-Trained Language Models for Interactive Decision-Making.

[BibT_eX]

[DOI]

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

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 Object-Based State Estimators for Household Robots.

[BibT_eX]

[DOI]

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

Streaming Inference for Infinite Feature Models.

[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

Joint Channel Estimation and MAP Detection of Probabilistically Shaped QAM.

[BibT_eX]

[DOI]

Karim Abed-Meraim

Ouahbi Rekik

Proceedings of the 30th European Signal Processing Conference, 2022

Compositional Visual Generation with Composable Diffusion Models.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2022, 2022

Kubric: A scalable dataset generator.

[BibT_eX]

[DOI]

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

SE(3)-Equivariant Relational Rearrangement with Neural Descriptor Fields.

[BibT_eX]

[DOI]

Anthony Simeonov

Yen-Chen Lin

Alberto Rodriguez Garcia

Proceedings of the Conference on Robot Learning, 2022

MIRA: Mental Imagery for Robotic Affordances.

[BibT_eX]

[DOI]

Alberto Rodriguez Garcia

Phillip Isola

Proceedings of the Conference on Robot Learning, 2022

Streaming Inference for Infinite Non-Stationary Clustering.

[BibT_eX]

[DOI]

Rylan Schaeffer

Gabrielle Kaili-May Liu

Scott Linderman

Ila Rani Fiete

Proceedings of the Conference on Lifelong Learning Agents, 2022

Energy-Based Models for Continual Learning.

[BibT_eX]

[DOI]

Proceedings of the Conference on Lifelong Learning Agents, 2022

2021

Quark Self-Energy and Condensates in NJL Model with External Magnetic Field.

[BibT_eX]

[DOI]

Juan Liu

Song Shi

Symmetry, 2021

The Neural MMO Platform for Massively Multiagent Research.

[BibT_eX]

[DOI]

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

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

Improved Contrastive Divergence Training of Energy-Based Models.

[BibT_eX]

[DOI]

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

Unsupervised Discovery of 3D Physical Objects from Video.

[BibT_eX]

[DOI]

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

3D Shape Generation and Completion through Point-Voxel Diffusion.

[BibT_eX]

[DOI]

Linqi Zhou

Jiajun Wu

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

Weakly Supervised Human-Object Interaction Detection in Video via Contrastive Spatiotemporal Regions.

[BibT_eX]

[DOI]

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

Curious Representation Learning for Embodied Intelligence.

[BibT_eX]

[DOI]

Chuang Gan

Phillip Isola

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

2020

Energy-Based Models for Continual Learning.

[BibT_eX]

[DOI]

CoRR, 2020

Learning Online Data Association.

[BibT_eX]

[DOI]

Joshua B. Tenenbaum

CoRR, 2020

Unsupervised Discovery of 3D Physical Objects from Video.

[BibT_eX]

[DOI]

CoRR, 2020

Compositional Visual Generation and Inference with Energy Based Models.

[BibT_eX]

[DOI]

Shuang Li

CoRR, 2020

Compositional Visual Generation with Energy Based Models.

[BibT_eX]

[DOI]

Shuang Li

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

Observational Overfitting in Reinforcement Learning.

[BibT_eX]

[DOI]

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

Energy-based models for atomic-resolution protein conformations.

[BibT_eX]

[DOI]

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

A Long Horizon Planning Framework for Manipulating Rigid Pointcloud Objects.

[BibT_eX]

[DOI]

Anthony Simeonov

Beomjoon Kim

Francois Robert Hogan

Joshua B. Tenenbaum

Alberto Rodriguez

Proceedings of the 4th Conference on Robot Learning, 2020

Neural MMO v1.3: A Massively Multiagent Game Environment for Training and Evaluating Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the 19th International Conference on Autonomous Agents and Multiagent Systems, 2020

2019

An Empirical Study on Hyperparameters and their Interdependence for RL Generalization.

[BibT_eX]

[DOI]

Xingyou Song

Jacob Jackson

CoRR, 2019

Implicit Generation and Generalization in Energy-Based Models.

[BibT_eX]

[DOI]

CoRR, 2019

Neural MMO: A Massively Multiagent Game Environment for Training and Evaluating Intelligent Agents.

[BibT_eX]

[DOI]

CoRR, 2019

Implicit Generation and Modeling with Energy Based Models.

[BibT_eX]

[DOI]

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

Task-Agnostic Dynamics Priors for Deep Reinforcement Learning.

[BibT_eX]

[DOI]

Karthik Narasimhan

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

Model-Based Planning with Energy-Based Models.

[BibT_eX]

[DOI]

Toru Lin