Lorenzo Noci
PhD in Machine Learning at ETH Zürich, working on deep learning theory and principled large-scale AI models.
lorenzonoci.github.io
@jascha.sohldickstein.com
Recently a principal scientist at Google DeepMind. Joining Anthropic. Most (in)famous for inventing diffusion models. AI + physics + neuroscience + dynamical systems.
@alexnegron.bsky.social
@hidenori8tanaka.bsky.social
Group Leader, CBS-NTT "Physics of Intelligence" Program at Harvard website: https://sites.google.com/view/htanaka/home
@quanquangu.bsky.social
Professor @UCLA, Research Scientist @ByteDance | Recent work: SPIN, SPPO, DPLM 1/2, GPM, MARS | Opinions are my own
@cmaddis.bsky.social
Asst. Prof. in Machine Learning at UofT. #LongCOVID patient. https://www.cs.toronto.edu/~cmaddis/
@berivanisik.bsky.social
Research scientist at Google. PhD from Stanford. Efficient and trustworthy AI, LLMs, and Gemini data & evaluation. https://sites.google.com/view/berivanisik
@adamian.bsky.social
@jonlorraine.bsky.social
Research scientist @NVIDIA | PhD in machine learning @UofT. Previously @Google / @MetaAI. Opinions are my own. 🤖 💻 ☕️
@mohaas.bsky.social
IMPRS-IS PhD student @ University of Tübingen with Ulrike von Luxburg and Bedartha Goswami. Mostly thinking about deep learning theory. Also interested in ML for climate science. mohawastaken.github.io
@laurenceai.bsky.social
Lecturer at the University of Bristol. probabilistic ML, optimisation, interpretability, LLM evals.
@dandiyatin.bsky.social
PhD student (EPFL, Switzerland), working on the theory of deep learning and statistical physics of computation. https://yatindandi.github.io/
@roydanroy.bsky.social
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.
@cpehlevan.bsky.social
theory of neural networks for natural and artificial intelligence https://pehlevan.seas.harvard.edu/
@cevherlions.bsky.social
Associate Professor of Electrical Engineering, EPFL. Amazon Scholar (AGI Foundations). IEEE Fellow. ELLIS Fellow.
@zdeborova.bsky.social
Professor at EPFL. Une mathémaphysinformaticienne. Passionate mushroom hunter. Tamer of two little dragons.
@flxsa.bsky.social
PhD student in machine learning at ELLIS Institute Tübingen, MPI-IS and ETH. Prev: MSc in CS at ETH
@aycatakmaz.bsky.social
PhD student @ETH, research intern @NVIDIA, prev. student researcher @Google working on 3D vision and scene understanding aycatakmaz.github.io
@ccanonne.github.io
Senior Lecturer #USydCompSci at the University of Sydney. Postdocs IBM Research and Stanford; PhD at Columbia. Converts ☕ into puns: sometimes theorems. He/him.
@stein.ke
Computer science, math, machine learning, (differential) privacy Researcher at Google DeepMind Kiwi🇳🇿 in California🇺🇸 http://stein.ke/
@mufan-li.bsky.social
Postdoc at Princeton | Incoming Assistant Prof at Waterloo Statistics | Prev: PhD at UofT and Vector https://mufan-li.github.io/
@bsky.app
official Bluesky account (check username👆) Bugs, feature requests, feedback: support@bsky.app