Allan Zhou

I am a research engineer at Google DeepMind, where I work on AI and robotics.

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

I also did a few internships: working on learned optimizers at Google DeepMind and on reinforcement learning at FAIR. Previously, I was an AI resident at Google Brain. I obtained my BS at UC Berkeley, advised by Anca Dragan.

Some papers (all)

1. Universal Neural Functionals
   Allan Zhou, Chelsea Finn, James Harrison.
   NeurIPS 2024. [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]