Yilun Du
Cited by
Cited by
Implicit generation and modeling with energy based models
Y Du, I Mordatch
Advances in Neural Information Processing Systems 32, 2019
3d shape generation and completion through point-voxel diffusion
L Zhou, Y Du, J Wu
Proceedings of the IEEE/CVF international conference on computer vision …, 2021
Planning with Diffusion for Flexible Behavior Synthesis
M Janner*, Y Du*, JB Tenenbaum, S Levine
ICML, 2022
Diffusion policy: Visuomotor policy learning via action diffusion
C Chi, S Feng, Y Du, Z Xu, E Cousineau, B Burchfiel, S Song
RSS, 2023
Compositional Visual Generation with Composable Diffusion Models
N Liu*, S Li*, Y Du*, A Torralba, JB Tenenbaum
ECCV, 2022
Improving factuality and reasoning in language models through multiagent debate
Y Du, S Li, A Torralba, JB Tenenbaum, I Mordatch
ICML, 2024
Is Conditional Generative Modeling all you need for Decision-Making?
A Ajay*, Y Du*, A Gupta*, J Tenenbaum, T Jaakkola, P Agrawal
ICLR, 2023
Neural radiance flow for 4d view synthesis and video processing
Y Du, Y Zhang, HX Yu, JB Tenenbaum, J Wu
2021 IEEE/CVF International Conference on Computer Vision (ICCV), 14304-14314, 2021
Pre-trained language models for interactive decision-making
S Li, X Puig, C Paxton, Y Du, C Wang, L Fan, T Chen, DA Huang, ...
Advances in Neural Information Processing Systems 35, 31199-31212, 2022
Neural Descriptor Fields: SE (3)-Equivariant Object Representations for Manipulation
A Simeonov*, Y Du*, A Tagliasacchi, JB Tenenbaum, A Rodriguez, ...
ICRA, 2022
Kubric: A scalable dataset generator
K Greff, F Belletti, L Beyer, C Doersch, Y Du, D Duckworth, DJ Fleet, ...
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022
Observational overfitting in reinforcement learning
X Song, Y Jiang, S Tu, Y Du, B Neyshabur
ICLR, 2020
Compositional visual generation with energy based models
Y Du, S Li, I Mordatch
Advances in Neural Information Processing Systems 33, 6637-6647, 2020
3D-LLM: Injecting the 3D World into Large Language Models
Y Hong, H Zhen, P Chen, S Zheng, Y Du, Z Chen, C Gan
NeurIPS, 2023
Improved contrastive divergence training of energy based models
Y Du, S Li, J Tenenbaum, I Mordatch
ICML, 2021
Training diffusion models with reinforcement learning
K Black, M Janner, Y Du, I Kostrikov, S Levine
ICLR, 2024
Foundation models for decision making: Problems, methods, and opportunities
S Yang, O Nachum, Y Du, J Wei, P Abbeel, D Schuurmans
arXiv preprint arXiv:2303.04129, 2023
Neural MMO: A massively multiagent game environment for training and evaluating intelligent agents
J Suarez, Y Du, P Isola, I Mordatch
NeurIPS Datasets and Benchmarks, 2021
Learning Universal Policies via Text-Guided Video Generation
Y Du, M Yang, B Dai, H Dai, O Nachum, J Tenenbaum, D Schuurmans, ...
NeurIPS, 2023
Building Cooperative Embodied Agents Modularly with Large Language Models
H Zhang, W Du, J Shan, Q Zhou, Y Du, JB Tenenbaum, T Shu, C Gan
arXiv preprint arXiv:2307.02485, 2023
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