Allan Zhou

I work on AI and robotics research at Google DeepMind.

I recently completed my PhD at Stanford University, advised by Chelsea Finn. There, I did research on geometric deep learning, nested optimization, and imitation & reinforcement learning.

I also did internships at Google DeepMind (working on learned optimizers with James Harrison) and FAIR (working on RL with Aravind Rajeswaran and Vikash Kumar). Previously, I was an AI resident at Google Brain working with Chelsea Finn and Eric Jang. I obtained my BS at UC Berkeley, advised by Anca Dragan.

Some papers (all)

1. Universal Neural Functionals
   Allan Zhou, Chelsea Finn, James Harrison.
   Preprint. [arXiv] [Code]
2. Permutation Equivariant Neural Functionals
   Allan Zhou, Kaien Yang, Kaylee Burns, Adriano Cardace, Yiding Jiang, Samuel Sokota, J. Zico Kolter, Chelsea Finn.
   NeurIPS 2023. [arXiv] [Code]
3. NeRF in the Palm of Your Hand: Corrective Augmentation for Robotics via Novel-View Synthesis
   Allan Zhou*, Moo Jin Kim*, Lirui Wang, Pete Florence, Chelsea Finn.
   CVPR 2023. [arXiv][Videos]