Postdoc at University of Washington, PhD at Duke University. Working on deep learning theory.
Postdoc at Simons at UC Berkeley; alumnus of Johns Hopkins & Peking University; deep learning theory.
https://uuujf.github.io
Machine learning researcher
@Google DeepMind. My opinions do not necessarily represent my employer. Prefer email over DMs.
https://scholar.google.com/citations?hl=e&user=ghbWy-0AAAAJ
https://www.cs.toronto.edu/~gdahl/
PhD candidate @utoronto.ca and @vectorinstitute.ai | Soon: Postdoc @princetoncitp.bsky.social | Reliable, safe, trustworthy machine learning.
phd student @ princeton · deep learning theory
eshaannichani.com
full-time ML theory nerd, part-time AI-non enthusiast
Information theory, probability, statistics. Churchill Professor of Mathematics of Information @UofCambridge: dpmms.cam.ac.uk/person/ik355/ 🧮 #MathSky 🧪 #Science
[used to be @yiannis_entropy at the other place]
For professional, see https://cvoelcker.de
If I seem very angry, check if I have been watered in the last 24 hours.
Now 🇺🇸 flavoured, previously available in 🇨🇦 and 🇩🇪
Born too late to explore the Earth
Too early to explore the Galaxy
Just in time to model the cell and climb some rocks
PhD @ UofT and Vector Institute
Differential Privacy. Machine Learning. Apple.
machine learning researcher @ Apple machine learning research
Research scientist at Apple | machine learning, optimization, language modeling
pierreablin.com
Asst. Prof. in Machine Learning at UofT. #LongCOVID patient.
https://www.cs.toronto.edu/~cmaddis/
Senior Staff Research Scientist @Google DeepMind, previously Stats Prof @Oxford Uni - interested in Computational Statistics, Generative Modeling, Monte Carlo methods, Optimal Transport.
PhD student @UofT and @Vector, Deep Learning Theory
https://www.cs.toronto.edu/~chuning/
PhD student in Machine Learning @UofT.
https://www.cs.toronto.edu/~aelhan/
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
Sr Principal Research Manager, Microsoft Research NYC. Machine Learning, AI Fairness.
Lecturer in Maths & Stats at Bristol. Interested in probabilistic + numerical computation, statistical modelling + inference. (he / him).
Homepage: https://sites.google.com/view/sp-monte-carlo
Seminar: https://sites.google.com/view/monte-carlo-semina
