Junior research group leader at TUM | University of Tübingen. Currently at BAIR (Berkeley). Previously at VGG (Oxford). Interested in multi-modal learning.
🔗 https://akoepke.github.io/
Postdoc @ UC Berkeley. 3D Vision/Graphics/Robotics. Prev: CS PhD @ Stanford.
janehwu.github.io
PhD @berkeley_ai; prev SR @GoogleDeepMind. I stare at my computer a lot and make things
CS PhD Student at UC Berkeley & AI for drug discovery at Prescient Design 🇨🇦
research @ nvidia, berkeley ai | cs @ berkeley eecs | ex apple ai/ml
Research Scientist @ IBM Research. Postdoc @ Berkeley AI. PhD @ Tel Aviv University. Working on Compositionality, Multimodal Foundation Models, and Structured Physical Intelligence.
🔗 https://roeiherz.github.io/
📍Bay area 🇺🇲
PhD student @ berkeley. https://micahcarroll.github.io/
Ph.D. Student at Berkeley AI Research | AI for Chaotic Environments and the Dual-Use Governance of AI
PhD student at UC Berkeley studying RL and AI safety.
https://cassidylaidlaw.com
Computer science PhD at Stanford
Associate Professor in EECS at MIT. Neural nets, generative models, representation learning, computer vision, robotics, cog sci, AI.
https://web.mit.edu/phillipi/
www.dgp.toronto.edu/~hertzman
3D vision fanatic
http://snavely.io
Assistant Professor of the Generative Intelligence Lab at Carnegie Mellon University. Understanding and creating pixels. All the code and models are available at http://github.com/junyanz.
Associate professor @ Cornell Tech
Professor, University Of Copenhagen 🇩🇰 PI @belongielab.org 🕵️♂️ Director @aicentre.dk 🤖 Board member @ellis.eu 🇪🇺 Formerly: Cornell, Google, UCSD
#ComputerVision #MachineLearning
Climate Attorney | Nature Enthusiast | Idealist | Berkeley Law 2023 | ASU 2020
