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Curious Representation Learning for Embodied Intelligence


May 03, 2021
Yilun Du, Chuang Gan, Phillip Isola


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3D Shape Generation and Completion through Point-Voxel Diffusion


Apr 11, 2021
Linqi Zhou, Yilun Du, Jiajun Wu

* Project page: https://alexzhou907.github.io/pvd 

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Neural Radiance Flow for 4D View Synthesis and Video Processing


Dec 17, 2020
Yilun Du, Yinan Zhang, Hong-Xing Yu, Joshua B. Tenenbaum, Jiajun Wu

* Website: https://yilundu.github.io/nerflow/ 

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Improved Contrastive Divergence Training of Energy Based Models


Dec 17, 2020
Yilun Du, Shuang Li, Joshua Tenenbaum, Igor Mordatch

* Project webpage at https://energy-based-model.github.io/improved-contrastive-divergence 

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Energy-Based Models for Continual Learning


Nov 24, 2020
Shuang Li, Yilun Du, Gido M. van de Ven, Antonio Torralba, Igor Mordatch


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A Long Horizon Planning Framework for Manipulating Rigid Pointcloud Objects


Nov 16, 2020
Anthony Simeonov, Yilun Du, Beomjoon Kim, Francois R. Hogan, Joshua Tenenbaum, Pulkit Agrawal, Alberto Rodriguez

* Conference on Robot Learning (CoRL 2020): Project website: https://anthonysimeonov.github.io/rpo-planning-framework/ 

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Learning Online Data Association


Nov 06, 2020
Yilun Du, Joshua Tenenbaum, Tomas Lozano-Perez, Leslie Kaelbling


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Unsupervised Discovery of 3D Physical Objects from Video


Jul 24, 2020
Yilun Du, Kevin Smith, Tomer Ulman, Joshua Tenenbaum, Jiajun Wu


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Energy-based models for atomic-resolution protein conformations


Apr 27, 2020
Yilun Du, Joshua Meier, Jerry Ma, Rob Fergus, Alexander Rives

* International Conference on Learning Representations (ICLR), 2020 
* Accepted to ICLR 2020 

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Compositional Visual Generation and Inference with Energy Based Models


Apr 13, 2020
Yilun Du, Shuang Li, Igor Mordatch

* Website at https://energy-based-model.github.io/compositional-generation-inference/ 

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


Jan 31, 2020
Joseph Suarez, Yilun Du, Igor Mordach, Phillip Isola


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Observational Overfitting in Reinforcement Learning


Dec 28, 2019
Xingyou Song, Yiding Jiang, Stephen Tu, Yilun Du, Behnam Neyshabur

* Published as a conference paper in ICLR 2020 

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Model Based Planning with Energy Based Models


Sep 15, 2019
Yilun Du, Toru Lin, Igor Mordatch

* CoRL 2019 

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An Empirical Study on Hyperparameters and their Interdependence for RL Generalization


Jun 02, 2019
Xingyou Song, Yilun Du, Jacob Jackson

* Published in ICML 2019 Workshop "Understanding and Improving Generalization in Deep Learning" 

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Task-Agnostic Dynamics Priors for Deep Reinforcement Learning


May 14, 2019
Yilun Du, Karthik Narasimhan

* ICML 2019 

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Implicit Generation and Generalization in Energy-Based Models


Mar 20, 2019
Yilun Du, Igor Mordatch


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Neural MMO: A Massively Multiagent Game Environment for Training and Evaluating Intelligent Agents


Mar 02, 2019
Joseph Suarez, Yilun Du, Phillip Isola, Igor Mordatch


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