← Authors

Yilun Du

81 papers · 2018–2026 · 9 conferences · across top CS/AI conferences

Achievements

🌍 Conference Polyglot (8) πŸƒ Academic Marathon (7) πŸ—ΊοΈ Taxonomy Completionist (74) 🐝 Cross-Pollinator (13) 🌈 Renaissance Researcher (5) πŸŒ‰ Interdisciplinary Bridge 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🏠 Conference Loyalist (22) 🀝 Dynamic Duo (23) πŸ‘‘ Triple Crown πŸ‘₯ Mega-Team (34) πŸ† Grand Slam 🧬 Topic Evolution πŸ† Keyword Champion (2) ❓ The Questioner πŸ”₯ Unstoppable (8) πŸ—ƒοΈ Keyword Collector (225) πŸ’Ž Century Club (80) ⚑ Prolific Year (22)

Conferences

ICLR (22) ICML (18) NIPS (18) ICCV (6) CORL (5) RSS (5) CVPR (4) ECCV (2) AAAI (1)

Top co-authors

Joshua B. Tenenbaum (23) Chuang Gan (15) Shuang Li (13) Antonio Torralba (10) Igor Mordatch (10) Josh Tenenbaum (9) Vincent Sitzmann (7) Joshua Tenenbaum (6) Leslie Pack Kaelbling (6) Hongxin Zhang (5)

Keywords

diffusion model (11) energy-based model (7) generative model (5) representation learning (4) robot manipulation (3) neural field (3) pose estimation (3) video generation (3) image generation (3) large language model (3) point cloud (3) 3d reconstruction (2) concept learning (2) inverse dynamics (2) scene representation (2) embodied ai (2) markov chain monte carlo (2) semantic segmentation (2) robotic manipulation (2) self-supervised learning (2)

Papers

Towards Generalist Robot Learning from Internet Video: A Survey (Abstract Reprint) AAAI 2026
Grounding Video Models to Actions through Goal Conditioned Exploration ICLR 2025
Compositional Scene Understanding through Inverse Generative Modeling ICML 2025
3D-Mem: 3D Scene Memory for Embodied Exploration and Reasoning CVPR 2025
History-Guided Video Diffusion ICML 2025
Solving New Tasks by Adapting Internet Video Knowledge ICLR 2025
COMBO: Compositional World Models for Embodied Multi-Agent Cooperation ICLR 2025
AuroraCap: Efficient, Performant Video Detailed Captioning and a New Benchmark ICLR 2025
Looped Transformers for Length Generalization ICLR 2025
Multiagent Finetuning: Self Improvement with Diverse Reasoning Chains ICLR 2025
AdaWorld: Learning Adaptable World Models with Latent Actions ICML 2025
Learning 4D Embodied World Models ICCV 2025
Few-Shot Task Learning through Inverse Generative Modeling NIPS 2024
Position: Video as the New Language for Real-World Decision Making ICML 2024
Compositional Image Decomposition with Diffusion Models ICML 2024
Potential Based Diffusion Motion Planning ICML 2024
Learning Iterative Reasoning through Energy Diffusion ICML 2024
3D-VLA: A 3D Vision-Language-Action Generative World Model ICML 2024
Improving Factuality and Reasoning in Language Models through Multiagent Debate ICML 2024
PoCo: Policy Composition from and for Heterogeneous Robot Learning RSS 2024
Position: Compositional Generative Modeling: A Single Model is Not All You Need ICML 2024
Large-scale Reinforcement Learning for Diffusion Models ECCV 2024
Set It Up!: Functional Object Arrangement with Compositional Generative Models RSS 2024
Learning to Act from Actionless Videos through Dense Correspondences ICLR 2024
Compositional Generative Inverse Design ICLR 2024
Training Diffusion Models with Reinforcement Learning ICLR 2024
Building Cooperative Embodied Agents Modularly with Large Language Models ICLR 2024
Video Language Planning ICLR 2024
HAZARD Challenge: Embodied Decision Making in Dynamically Changing Environments ICLR 2024
Probabilistic Adaptation of Black-Box Text-to-Video Models ICLR 2024
Learning to Jointly Understand Visual and Tactile Signals ICLR 2024
Learning Interactive Real-World Simulators ICLR 2024
RoboDreamer: Learning Compositional World Models for Robot Imagination ICML 2024
Diffusion Forcing: Next-token Prediction Meets Full-Sequence Diffusion NIPS 2024
Neural Groundplans: Persistent Neural Scene Representations from a Single Image ICLR 2023
FlowCam: Training Generalizable 3D Radiance Fields without Camera Poses via Pixel-Aligned Scene Flow NIPS 2023
Learning Universal Policies via Text-Guided Video Generation NIPS 2023
3D-LLM: Injecting the 3D World into Large Language Models NIPS 2023
Compositional Foundation Models for Hierarchical Planning NIPS 2023
Adaptive Online Replanning with Diffusion Models NIPS 2023
DiffuseBot: Breeding Soft Robots With Physics-Augmented Generative Diffusion Models NIPS 2023
Secure Out-of-Distribution Task Generalization with Energy-Based Models NIPS 2023
Compositional Diffusion-Based Continuous Constraint Solvers CORL 2023
Learning To Render Novel Views From Wide-Baseline Stereo Pairs CVPR 2023
3D Concept Learning and Reasoning From Multi-View Images CVPR 2023
Unsupervised Compositional Concepts Discovery with Text-to-Image Generative Models ICCV 2023
Planning with Sequence Models through Iterative Energy Minimization ICLR 2023
Composing Ensembles of Pre-trained Models via Iterative Consensus ICLR 2023
Is Conditional Generative Modeling all you need for Decision Making? ICLR 2023
Inferring Relational Potentials in Interacting Systems ICML 2023
Reduce, Reuse, Recycle: Compositional Generation with Energy-Based Diffusion Models and MCMC ICML 2023
Diffusion Policy: Visuomotor Policy Learning via Action Diffusion RSS 2023
StructDiffusion: Language-Guided Creation of Physically-Valid Structures using Unseen Objects RSS 2023
NeuSE: Neural SE(3)-Equivariant Embedding for Consistent Spatial Understanding with Objects RSS 2023
Compositional Visual Generation with Composable Diffusion Models ECCV 2022
Kubric: A Scalable Dataset Generator CVPR 2022
MIRA: Mental Imagery for Robotic Affordances CORL 2022
SE(3)-Equivariant Relational Rearrangement with Neural Descriptor Fields CORL 2022
Learning Neural Acoustic Fields NIPS 2022
Learning Iterative Reasoning through Energy Minimization ICML 2022
Planning with Diffusion for Flexible Behavior Synthesis ICML 2022
Streaming Inference for Infinite Feature Models ICML 2022
3D Concept Grounding on Neural Fields NIPS 2022
Pre-Trained Language Models for Interactive Decision-Making NIPS 2022
Curious Representation Learning for Embodied Intelligence ICCV 2021
3D Shape Generation and Completion Through Point-Voxel Diffusion ICCV 2021
Neural Radiance Flow for 4D View Synthesis and Video Processing ICCV 2021
Improved Contrastive Divergence Training of Energy-Based Models ICML 2021
Learning to Compose Visual Relations NIPS 2021
Unsupervised Learning of Compositional Energy Concepts NIPS 2021
Learning Signal-Agnostic Manifolds of Neural Fields NIPS 2021
Unsupervised Discovery of 3D Physical Objects from Video ICLR 2021
Weakly Supervised Human-Object Interaction Detection in Video via Contrastive Spatiotemporal Regions ICCV 2021
Energy-based models for atomic-resolution protein conformations ICLR 2020
Observational Overfitting in Reinforcement Learning ICLR 2020
Compositional Visual Generation with Energy Based Models NIPS 2020
A Long Horizon Planning Framework for Manipulating Rigid Pointcloud Objects CORL 2020
Task-Agnostic Dynamics Priors for Deep Reinforcement Learning ICML 2019
Model-Based Planning with Energy-Based Models CORL 2019
Implicit Generation and Modeling with Energy Based Models NIPS 2019
Learning to Exploit Stability for 3D Scene Parsing NIPS 2018