Yilun Du
Yilun Du
Verified email at mit.edu - Homepage
Title
Cited by
Cited by
Year
Implicit generation and generalization in energy-based models
Y Du, I Mordatch
arXiv preprint arXiv:1903.08689, 2019
140*2019
Neural MMO v1. 3: A Massively Multiagent Game Environment for Training and Evaluating Neural Networks
J Suarez, Y Du, I Mordach, P Isola
arXiv preprint arXiv:2001.12004, 2020
23*2020
Energy-based models for atomic-resolution protein conformations
Y Du, J Meier, J Ma, R Fergus, A Rives
arXiv preprint arXiv:2004.13167, 2020
192020
Task-agnostic dynamics priors for deep reinforcement learning
Y Du, K Narasimhan
International Conference on Machine Learning, 1696-1705, 2019
182019
Learning to Exploit Stability for 3D Scene Parsing.
Y Du, Z Liu, H Basevi, A Leonardis, B Freeman, J Tenenbaum, J Wu
NeurIPS, 1733-1743, 2018
162018
Observational overfitting in reinforcement learning
X Song, Y Jiang, S Tu, Y Du, B Neyshabur
arXiv preprint arXiv:1912.02975, 2019
142019
Model Based planning with energy-based models
Y Du, T Lin, I Mordatch
arXiv preprint arXiv:1909.06878, 2019
14*2019
Yilun Du, and Behnam Neyshabur
X Song, Y Jiang, S Tu
Observational overfitting in reinforcement learning,” in International …, 2020
72020
Improved Contrastive Divergence Training of Energy Based Models
Y Du, S Li, J Tenenbaum, I Mordatch
arXiv preprint arXiv:2012.01316, 2020
52020
Neural Radiance Flow for 4D View Synthesis and Video Processing
Y Du, Y Zhang, HX Yu, JB Tenenbaum, J Wu
arXiv e-prints, arXiv: 2012.09790, 2020
32020
Compositional Visual Generation with Energy Based Models
Y Du, S Li, I Mordatch
Advances in Neural Information Processing Systems 33, 2020
3*2020
An empirical study on hyperparameters and their interdependence for rl generalization
X Song, Y Du, J Jackson
arXiv preprint arXiv:1906.00431, 2019
32019
Implementing ML algorithms with HE
Y Du, L Gustafson, D Huang, K Peterson
MIT Course 6, 857, 2017
32017
Yilun Du, Phillip Isola, and Igor Mordatch. 2019. Neural MMO: A Massively Multiagent Game Environment for Training and Evaluating Intelligent Agents
J Suarez
arXiv preprint arXiv:1903.00784, 2019
22019
A Long Horizon Planning Framework for Manipulating Rigid Pointcloud Objects
A Simeonov, Y Du, B Kim, FR Hogan, J Tenenbaum, P Agrawal, ...
arXiv preprint arXiv:2011.08177, 2020
12020
Unsupervised Discovery of 3D Physical Objects from Video
Y Du, K Smith, T Ulman, J Tenenbaum, J Wu
arXiv preprint arXiv:2007.12348, 2020
12020
Curious Representation Learning for Embodied Intelligence
Y Du, C Gan, P Isola
arXiv preprint arXiv:2105.01060, 2021
2021
3D Shape Generation and Completion through Point-Voxel Diffusion
L Zhou, Y Du, J Wu
arXiv preprint arXiv:2104.03670, 2021
2021
Energy-Based Models for Continual Learning
S Li, Y Du, GM van de Ven, A Torralba, I Mordatch
arXiv preprint arXiv:2011.12216, 2020
2020
Learning an Object-Based Memory System
Y Du, J Tenenbaum, T Lozano-Perez, L Kaelbling
arXiv preprint arXiv:2011.03183, 2020
2020
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Articles 1–20