Just put together a starter pack for Deep Learning Theory. Let me know if you'd like to be included or suggest someone to add to the list!
go.bsky.app/2qnppia
22.11.2024 21:35 — 👍 88 🔁 32 💬 29 📌 5
Had a fantastic time at OpenAI’s dev day in Singapore! So much energy here, and the depth of knowledge policy makers have about AI is incredible. Bumped into some old Singaporean classmates of mine too
23.11.2024 06:55 — 👍 5 🔁 2 💬 0 📌 0
Principal Researcher in AI/ML/RL Theory @ Microsoft Research NE/NYC. Previously @ MIT, Cornell. http://dylanfoster.net
RL Theory Lecture Notes: https://arxiv.org/abs/2312.16730
AI Reasoning and Foundations
Senior Research Scientist, Google |
PhD, Princeton University
Google Chief Scientist, Gemini Lead. Opinions stated here are my own, not those of Google. Gemini, TensorFlow, MapReduce, Bigtable, Spanner, ML things, ...
Machine Learning (the science part) | PhD student @ CMU
Optimization and ML researcher at Toyota Research Institute, PhD at MIT, Berkeley CS
chenyang.co
ML PhD student at Stanford
yoonholee.com
Professor at UW; Researcher at Meta. LMs, NLP, ML. PNW life.
research scientist @ openai
Prof (CS @Stanford), Co-Director @StanfordHAI, Cofounder/CEO @theworldlabs, CoFounder @ai4allorg #AI #computervision #robotics #AI-healthcare
Research scientist at Anthropic. Prev. Google Brain/DeepMind, founding team OpenAI. Computer scientist; inventor of the VAE, Adam optimizer, and other methods. ML PhD. Website: dpkingma.com
Professor at Wharton, studying AI and its implications for education, entrepreneurship, and work. Author of Co-Intelligence.
Book: https://a.co/d/bC2kSj1
Substack: https://www.oneusefulthing.org/
Web: https://mgmt.wharton.upenn.edu/profile/emollick
Chief AI Scientist at Databricks. Founding team at MosaicML. MIT/Princeton alum. Lottery ticket enthusiast. Working on data intelligence.
ai research @ thinking machines . realtime video+voice. i like trains and bikes. sometimes I climb rocks and throw pottery.
research scientist at google deepmind.
co-author of JAX (https://github.com/jax-ml/jax)
https://cs.stanford.edu/~rfrostig
Blog: https://sander.ai/
🐦: https://x.com/sedielem
Research Scientist at Google DeepMind (WaveNet, Imagen 3, Veo, ...). I tweet about deep learning (research + software), music, generative models (personal account).
Genomics, Machine Learning, Statistics, Big Data and Football (Soccer, GGMU)
PhD student @ UW & visiting researcher @ MetaAI.
Previously Google Brain resident & Stanford'19.
Curating better training data for language & multimodal models.
https://thaonguyen19.github.io/
