Marrying classical CV and Deep Learning. I do things, which work, rather than being novel, but not working.
http://dmytro.ai
My opinions only here.
👨🔬 RS DeepMind
Past:
👨🔬 R Midjourney 1y 🧑🎓 DPhil AIMS Uni of Oxford 4.5y
🧙♂️ RE DeepMind 1y 📺 SWE Google 3y 🎓 TUM
👤 @nwspk
Professor of Computer Vision/Machine Learning at Imagine/LIGM, École nationale des Ponts et Chaussées @ecoledesponts.bsky.social Music & overall happiness 🌳🪻 Born well below 350ppm 😬 mostly silly personal views
📍Paris 🔗 https://davidpicard.github.io/
AI for Science, deep generative models, inverse problems. Professor of AI and deep learning @universitedeliege.bsky.social. Previously @CERN, @nyuniversity. https://glouppe.github.io
#CS Associate Prof York University, #ComputerVision Scientist Samsung #AI, VectorInst Faculty Affiliate, TPAMI AE, ELLIS4Europe Member, #CVPR2025 Publicity Chair on X
📍Toronto 🇨🇦 🔗 csprofkgd.github.io
🗓️ Joined Nov 2024
PhD student, SSL for vision @ MetaAI & INRIA
tim.darcet.fr
Research Scientist Meta/FAIR, Prof. University of Geneva, co-founder Neural Concept SA. I like reality.
https://fleuret.org
International Conference on Learning Representations https://iclr.cc/
Professor @ TUM | Making numerical methods and deep learning play nicely together | Fluids | Computer Graphics
RS at Google DeepMind and Honorary Lecturer at UCL. Building general world models to solve AGI :)
Principal research scientist at Google DeepMind. Synthesized views are my own.
📍SF Bay Area 🔗 http://jonbarron.info
This feed is a mostly-incomplete mirror of https://x.com/jon_barron, I recommend you just follow me there.
Code, AI, and 3D printing. Opinions are my own, not my computer's...for now. Co-creator of DALL-E 2. Researcher @openai.
PhD-ing at UMD. Knows a little about multimodal generative models. Check out my website to know more - https://somepago.github.io/
web @ https://argmin.xyz
interests: machine learning, ai4science, algorithms, coding
member of technical staff @ https://cusp.ai
past @ MSR, DeepMind, MPI-IS
home @ Heimbach (Gilserberg), Berlin, Europe
born @ 353 ppm
block toxicity
he/him
Research Scientist at Google DeepMind. Working on Gemini reasoning models.
PhD from UofT and Vector Institute
www.paulvicol.com
ML Research @ Apple.
Understanding deep learning (generalization, calibration, diffusion, etc).
preetum.nakkiran.org
AI Researcher at the Samsung SAIT AI Lab 🐱💻
I build generative models for images, videos, text, tabular data, NN weights, molecules, and now video games!
Ph.D. student on generative models and domain adaptation for Earth observation 🛰
Previously intern @SonyCSL, @Ircam, @Inria
🌎 Personal website: https://lebellig.github.io/
Associate Professor in EECS at MIT. Neural nets, generative models, representation learning, computer vision, robotics, cog sci, AI.
https://web.mit.edu/phillipi/
