Maybe VQGAN? It's quite useful in quantizing other modalities to discrete tokens to integrate into LLMs for both understanding and generation, but perhaps the main thing is about VQ not GAN...
27.11.2024 19:37 — 👍 4 🔁 0 💬 0 📌 0
Writing a good scientific paper
For those who missed this post on the-network-that-is-not-to-be-named, I made public my "secrets" for writing a good CVPR paper (or any scientific paper). I've compiled these tips of many years. It's long but hopefully it helps people write better papers. perceiving-systems.blog/en/post/writ...
20.11.2024 10:18 — 👍 263 🔁 64 💬 4 📌 8
Senior Research Scientist at Google DeepMind, working on Gemini.
PhD from University of Edinburgh.
ibalazevic.github.io
Professor, University Of Copenhagen 🇩🇰 PI @belongielab.org 🕵️♂️ Director @aicentre.dk 🤖 Board member @ellis.eu 🇪🇺 Formerly: Cornell, Google, UCSD
#ComputerVision #MachineLearning
Stanford Linguistics and Computer Science. Director, Stanford AI Lab. Founder of @stanfordnlp.bsky.social . #NLP https://nlp.stanford.edu/~manning/
AI @ OpenAI, Tesla, Stanford
Bot. I daily tweet progress towards machine learning and computer vision conference deadlines. Maintained by @chriswolfvision.bsky.social
International Conference on Learning Representations https://iclr.cc/
The Thirty-Eighth Annual Conference on Neural Information Processing Systems will be held in Vancouver Convention Center, on Tuesday, Dec 10 through Sunday, Dec 15.
https://neurips.cc/
Head of Research @ Simular. Professor @ UC Santa Cruz. Working on #Multimodal #Embodied #AIAgents. AI for Humanity in the long run. he/him
📍Bay Area 🔗 https://eric-xw.github.io
Principal Scientist at Naver Labs Europe, Lead of Spatial AI team. AI for Robotics, Computer Vision, Machine Learning. Austrian in France. https://chriswolfvision.github.io/www/
Associate Professor in EECS at MIT. Neural nets, generative models, representation learning, computer vision, robotics, cog sci, AI.
https://web.mit.edu/phillipi/
Laplace Junior Chair, Machine Learning
ENS Paris. (prev ETH Zurich, Edinburgh, Oxford..)
Working on mathematical foundations/probabilistic interpretability of ML (what NNs learn🤷♂️, disentanglement🤔, king-man+woman=queen?👌…)
Research Director, Founding Faculty, Canada CIFAR AI Chair @VectorInst.
Full Prof @UofT - Statistics and Computer Sci. (x-appt) danroy.org
I study assumption-free prediction and decision making under uncertainty, with inference emerging from optimality.
Director of Responsible AI @GSK | Interested in Responsible AI, AI for healthcare, fairness and causality | Prev. Google DeepMind, Google Health, UCL, Stanford, ULiege | WiML board/volunteer. She/her.
Researcher (OpenAI. Ex: DeepMind, Brain, RWTH Aachen), Gamer, Hacker, Belgian.
Anon feedback: https://admonymous.co/giffmana
📍 Zürich, Suisse 🔗 http://lucasb.eyer.be
ML for healthcare and health equity. Assistant Professor at UC Berkeley and UCSF.
https://irenechen.net/
Professor of Biomedical Informatics @InfAtEd, Dir. @AI4BI_CDT - Bioinformatics, Machine Learning, BioNLP, Genomics, Genetic Disease
Director, Max Planck Institute for Intelligent Systems; Chief Scientist Meshcapade; Speaker, Cyber Valley.
Building 3D humans.
https://ps.is.mpg.de/person/black
https://meshcapade.com/
https://scholar.google.com/citations?user=6NjbexEAAAAJ&hl=en&oi=ao
