Yilun Du

yilun

Email: yilundu@mit.edu
Blog: Blog
Github: Github

Bio

I am senior undergraduate at MIT majoring in computer science. I’m interested in artificial intelligence including topics in unsupervised learning, reinforcement learning, and more sample efficient learning. I’m currently a research intern at FAIR.

In the past, I’ve interned at Facebook, done a fellowship at OpenAI and received gold medals at the International Biology Olympiad.

Publications

  1. Implicit Generation and Generalization with Energy Based Models
    Yilun Du, Igor Mordatch
    Code NeurIPS 2018 Workshop on Bayesian Deep Learning (Preliminary Version)
  2. Model Based Planning with Energy Based Planning
    Yilun Du, Toru Lin, Igor Mordatch
    ICML 2019 Workshop on Generative Modeling and Model-Based Reasoning for Robotics and AI (Oral)
  3. An Empirical Study on Hyperparameters and their Interdependence for RL Generalization
    Xingyou Song, Yilun Du, Jacob Jackson ICML 2019 Workshop on Understanding and Improving Generalization in Deep Learning
  4. Learning Physics Priors for Deep Reinforcement Learing
    Yilun Du, and Karthik Narasimhan
    Code ICML 2019
  5. Neural MMO: A massively multiplayer game environment for intelligent agents
    Joseph Suarez, Yilun Du, Philip Isola, Igor Mordatch
    Code Preprint
  6. Learning to Exploit Stability for 3D Scene Parsing
    Yilun Du, Zhijian Liu, Hector Basevi, Ales Leonardis, William T. Freeman, Joshua B. Tenenbaum, Jiajun Wu
    NeurIPS 2018
  7. Thomson Reuters’ Solution for Triple Ranking in the FEIII 2017 Challenge
    Elizabeth Roman, Brian Ulicny, Yilun Du, Srijith Poduval, Allan Ko
    SIGMOD Workshop on Data Science for Macro Modeling
  8. Interpreting Dynamic Scenes by a Physics Engine and Bottom-Up Visual Cues
    Ilker Yildirim*, Jiajun Wu*, Yilun Du, Joshua B. Tenenbaum
    ECCV 2016 Workshop on Action and Anticipation for Visual Learning

Resume

Resume