My team at Google Deepmind in NYC is hiring research engineers!
If you're interested in helping add new capabilities to large-scale generative models, please apply:
boards.greenhouse.io/deepmind/jobs/…
Feel free to reach out if you have questions :)
Hi everyone! I'm very pleased to announce that I'll be starting work as a research scientist at @DeepMind in their New York office with @rob_fergus, Ishita Dasgupta, Arun Ahuja, and @kaeserchen
Just gotta finish dat Ph.D. and we're off! I'm so excited!
Hi all! Very pleased to share that my latest paper: "Oops I Took A Gradient: Scalable Sampling for Discrete Distributions" (arxiv.org/abs/2102.04509) has been accepted to ICML for a long presentation.
Energy-Based Models have seen amazing progress in the last few years...
Tomorrow’s my last day at google deepmind. It’s been over 5 years since I started working at GDM as a student researcher. Getting there was a literal dream come true and in the time since, larger-than-life heroes have turned into close personal friends.
ICML 2021
Outstanding Paper Award Honorable Mentions:
2/4. Will Grathwohl, Kevin Swersky, Milad Hashemi, David Duvenaud, and Chris Maddison
📜Oops I Took A Gradient: Scalable Sampling for Discrete Distributions (Tuesday 9am US Eastern)
Really excited for people to see why my publication output has been diminished over the last year or so. Many thanks to everyone involved blasting out our eardrums to make this happen!
Thrilled to share #Lyria, the world's most sophisticated AI music generation system. From just a text prompt Lyria produces compelling music & vocals. Also: building new Music AI tools for artists to amplify creativity in partnership w/YT & music industry deepmind.google/discover/blog/…
