Yilun Du

Orcid: 0000-0001-6792-5946

According to our database1, Yilun Du authored at least 88 papers between 2017 and 2024.

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Bibliography

2024
3D-VLA: A 3D Vision-Language-Action Generative World Model.
CoRR, 2024

Video as the New Language for Real-World Decision Making.
CoRR, 2024

Bridging Associative Memory and Probabilistic Modeling.
CoRR, 2024

PoCo: Policy Composition from and for Heterogeneous Robot Learning.
CoRR, 2024

Compositional Generative Modeling: A Single Model is Not All You Need.
CoRR, 2024

Compositional Generative Inverse Design.
CoRR, 2024

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

Large-scale Reinforcement Learning for Diffusion Models.
CoRR, 2024

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

Video Language Planning.
CoRR, 2023

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

Learning Interactive Real-World Simulators.
CoRR, 2023

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

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

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

Training Diffusion Models with Reinforcement Learning.
CoRR, 2023

Foundation Models for Decision Making: Problems, Methods, and Opportunities.
CoRR, 2023

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

StructDiffusion: Language-Guided Creation of Physically-Valid Structures using Unseen Objects.
Proceedings of the Robotics: Science and Systems XIX, Daegu, 2023

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

Diffusion Policy: Visuomotor Policy Learning via Action Diffusion.
Proceedings of the Robotics: Science and Systems XIX, Daegu, 2023

Adaptive Online Replanning with Diffusion Models.
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.
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.
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.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

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

Secure Out-of-Distribution Task Generalization with Energy-Based Models.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

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

Visibility-Aware Navigation Among Movable Obstacles.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023

Local Neural Descriptor Fields: Locally Conditioned Object Representations for Manipulation.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023

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

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

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

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

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

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

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

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

Learning to Render Novel Views from Wide-Baseline Stereo Pairs.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

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

2022
SE(3)-Equivariant Relational Rearrangement with Neural Descriptor Fields.
CoRR, 2022

Self-conditioned Embedding Diffusion for Text Generation.
CoRR, 2022

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

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

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

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

Learning Object-Based State Estimators for Household Robots.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

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

Streaming Inference for Infinite Feature Models.
Proceedings of the International Conference on Machine Learning, 2022

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

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

Joint Channel Estimation and MAP Detection of Probabilistically Shaped QAM.
Proceedings of the 30th European Signal Processing Conference, 2022

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


SE(3)-Equivariant Relational Rearrangement with Neural Descriptor Fields.
Proceedings of the Conference on Robot Learning, 2022

MIRA: Mental Imagery for Robotic Affordances.
Proceedings of the Conference on Robot Learning, 2022

Streaming Inference for Infinite Non-Stationary Clustering.
Proceedings of the Conference on Lifelong Learning Agents, 2022

Energy-Based Models for Continual Learning.
Proceedings of the Conference on Lifelong Learning Agents, 2022

2021
Quark Self-Energy and Condensates in NJL Model with External Magnetic Field.
Symmetry, 2021

The Neural MMO Platform for Massively Multiagent Research.
Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021

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

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

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

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

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

3D Shape Generation and Completion through Point-Voxel Diffusion.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Weakly Supervised Human-Object Interaction Detection in Video via Contrastive Spatiotemporal Regions.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

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

Curious Representation Learning for Embodied Intelligence.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020
Energy-Based Models for Continual Learning.
CoRR, 2020

Learning Online Data Association.
CoRR, 2020

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

Compositional Visual Generation and Inference with Energy Based Models.
CoRR, 2020

Compositional Visual Generation with Energy Based Models.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Observational Overfitting in Reinforcement Learning.
Proceedings of the 8th International Conference on Learning Representations, 2020

Energy-based models for atomic-resolution protein conformations.
Proceedings of the 8th International Conference on Learning Representations, 2020

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

Neural MMO v1.3: A Massively Multiagent Game Environment for Training and Evaluating Neural Networks.
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.
CoRR, 2019

Implicit Generation and Generalization in Energy-Based Models.
CoRR, 2019

Neural MMO: A Massively Multiagent Game Environment for Training and Evaluating Intelligent Agents.
CoRR, 2019

Implicit Generation and Modeling with Energy Based Models.
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.
Proceedings of the 36th International Conference on Machine Learning, 2019

Model-Based Planning with Energy-Based Models.
Proceedings of the 3rd Annual Conference on Robot Learning, 2019

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

2017
Thomson Reuters' Submission to the FEIII 2017 Challenge Non-scored Tasks.
Proceedings of the 3rd International Workshop on Data Science for Macro-Modeling with Financial and Economic Datasets, 2017

Thomson Reuters' Solution for Triple Ranking in the FEIII 2017 Challenge.
Proceedings of the 3rd International Workshop on Data Science for Macro-Modeling with Financial and Economic Datasets, 2017


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