Incoming postdoc at Boston University. Views my own.
https://jerrylin96.github.io/
Postdoc researcher @ University of California Irvine, LEAP NSF-STC - Columbia University
Machine Learning & Generative modeling for Climate Science
ML PhD student at UC San Diego. Into AI for Science, especially climate & weather.
https://salvarc.github.io/
🎓 CS Prof at UCLA
🧠 Researching reasoning and learning in artificial intelligence: tactable deep generative models, probabilistic circuits, probabilistic programming, neurosymbolic AI
https://web.cs.ucla.edu/~guyvdb/
AI professor at Caltech. General Chair ICLR 2025.
http://www.yisongyue.com
Machine Learning Professor
https://cims.nyu.edu/~andrewgw
Cofounder & CTO @ Abridge, Raj Reddy Associate Prof of ML @ CMU, occasional writer, relapsing 🎷, creator of d2l.ai & approximatelycorrect.com
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/
Machine learning lab at Columbia University. Probabilistic modeling and approximate inference, embeddings, Bayesian deep learning, and recommendation systems.
🔗 https://www.cs.columbia.edu/~blei/
🔗 https://github.com/blei-lab
Research scientist at FAIR NY ❤️ Machine Learning + Information Theory. Previously, PhD at UoAmsterdam, intern at DeepMind + MSRC.
Deep learner at FAIR. Into codegen, RL, equivariance, generative models. Spent time at Qualcomm, Scyfer (acquired), UvA, Deepmind, OpenAI.
Ph.D. student in Stats and ML at the University of California, Irvine. Teaching neural nets how to discover latent dynamical systems.
Associate Professor of Machine Learning, University of Oxford;
OATML Group Leader;
Director of Research at the UK government's AI Safety Institute (formerly UK Taskforce on Frontier AI)
