Yilun Du
Yilun Du
PhD Student at MIT
Verified email at - Homepage
Cited by
Cited by
Implicit generation and generalization in energy-based models
Y Du, I Mordatch
arXiv preprint arXiv:1903.08689, 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
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
Observational overfitting in reinforcement learning
X Song, Y Jiang, S Tu, Y Du, B Neyshabur
arXiv preprint arXiv:1912.02975, 2019
Improved contrastive divergence training of energy based models
Y Du, S Li, J Tenenbaum, I Mordatch
arXiv preprint arXiv:2012.01316, 2020
Compositional Visual Generation with Composable Diffusion Models
N Liu*, S Li*, Y Du*, A Torralba, JB Tenenbaum
arXiv preprint arXiv:2206.01714, 2022
Neural MMO: A massively multiagent game environment for training and evaluating intelligent agents
J Suarez, Y Du, P Isola, I Mordatch
arXiv preprint arXiv:1903.00784, 2019
Neural Descriptor Fields: SE (3)-Equivariant Object Representations for Manipulation
A Simeonov*, Y Du*, A Tagliasacchi, JB Tenenbaum, A Rodriguez, ...
arXiv preprint arXiv:2112.05124, 2021
Compositional visual generation with energy based models
Y Du, S Li, I Mordatch
Advances in Neural Information Processing Systems 33, 6637-6647, 2020
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
Planning with Diffusion for Flexible Behavior Synthesis
M Janner*, Y Du*, JB Tenenbaum, S Levine
arXiv preprint arXiv:2205.09991, 2022
Task-agnostic dynamics priors for deep reinforcement learning
Y Du, K Narasimhan
International Conference on Machine Learning, 1696-1705, 2019
Energy-based models for atomic-resolution protein conformations
Y Du, J Meier, J Ma, R Fergus, A Rives
arXiv preprint arXiv:2004.13167, 2020
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
Model Based planning with energy-based models
Y Du, T Lin, I Mordatch
arXiv preprint arXiv:1909.06878, 2019
Learning to exploit stability for 3d scene parsing
Y Du, Z Liu, H Basevi, A Leonardis, B Freeman, J Tenenbaum, J Wu
Advances in Neural Information Processing Systems 31, 2018
Learning to plan with pointcloud affordances for general-purpose dexterous manipulation
A Simeonov, Y Du, B Kim, FR Hogan, P Agrawal, A Rodriguez
Conference on Robot Learning, 2020
Learning to Compose Visual Relations
N Liu*, S Li*, Y Du*, J Tenenbaum, A Torralba
Advances in Neural Information Processing Systems 34, 2021
Unsupervised learning of compositional energy concepts
Y Du, S Li, Y Sharma, J Tenenbaum, I Mordatch
Advances in Neural Information Processing Systems 34, 15608-15620, 2021
Energy-Based Models for Continual Learning
S Li, Y Du, GM van de Ven, I Mordatch
arXiv preprint arXiv:2011.12216, 2020
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