Ivan Zhang

Deep Learning && Scale

Currently, I'm building a secret thing with my friends.

I spend most of my time designing and implementing scalable Deep Learning systems.

Previously, I built cool stuff with folks at Cortex Labs, the Pressly backend team, and lead engineering at Ranomics.

The rest of my time I dedicate to publishing deep learning research with FOR.ai. While waiting for experiments to finish, I write tools to help researchers focus on research. I talk about some of my work here.

Publications

  • Unsupervised Cipher Cracking Using Discrete GANs (ICLR Poster 2018)
    Aidan Gomez, Sicong Huang, Ivan Zhang, Bryan Li, Muhammad Osama, Lukasz Kaiser
  • Targeted Dropout (NIPS CDNNRIA Workshop Poster 2018)
    Aidan Gomez, Ivan Zhang, Kevin Swersky, Yarin Gal, Geoffrey Hinton