Jun Yang
Department of Mathematical Sciences, University of Copenhagen https://jun.sites.ku.dk/
@mschauer.bsky.social
Statistician, Associate Professor (Lektor) at University of Gothenburg and Chalmers; inference and conditional distributions for anything https://mschauer.github.io http://orcid.org/0000-0003-3310-7915 [ˈmoː/r/ɪts ˈʃaʊ̯ɐ]
@instmathstat.bsky.social
Fostering the development and dissemination of the theory and applications of statistics and probability
@nchopin.mathstodon.xyz.ap.brid.gy
Prof of Data Sciences at ENSAE (IPP), Paris; Bayesian computation, Sequential Monte Carlo and stuff [bridged from https://mathstodon.xyz/@nchopin on the fediverse by https://fed.brid.gy/ ]
@michaelchchoi.bsky.social
Applied probabilist. Probability, MCMC, optimization, information theory, TCS. https://mchchoi.github.io/
@simonsinstitute.bsky.social
The world's leading venue for collaborative research in theoretical computer science. Follow us at http://YouTube.com/SimonsInstitute.
@satpreetsingh.bsky.social
Postdoc @harvard.edu @kempnerinstitute.bsky.social Homepage: http://satpreetsingh.github.io Twitter: https://x.com/tweetsatpreet
@adamjohansen.bsky.social
Professor of Statistics at University of Warwick; computational methods, Monte Carlo, gradient flows and fun things like those.
@jolars.co
Postdoc in statistics at the Department of Mathematical Sciences, UCPH. Follow me at https://jolars.co.
@ellisunitjena.bsky.social
https://ellis-jena.eu is developing+applying #AI #ML in #earth system, #climate & #environmental research. Partner: @uni-jena.de, https://bgc-jena.mpg.de/en, @dlr-spaceagency.bsky.social, @carlzeissstiftung.bsky.social, https://aiforgood.itu.int
@sebdarses.bsky.social
Math Assoc. Prof. at Aix-Marseille (France) Currently on Sabbatical at CRM-CNRS, Université de Montréal Teaching Project (non-profit): https://www.highkholle.fr/ https://sites.google.com/view/sebastien-darses/welcome
@kyrkim.bsky.social
Ph.D. Student @ UPenn. I am mainly interested on Bayesian inference algorithms and stochastic optimization.
@tmlrorg.bsky.social
Transactions on Machine Learning Research (TMLR) is a new venue for dissemination of machine learning research https://jmlr.org/tmlr/
@jeffdean.bsky.social
Google Chief Scientist, Gemini Lead. Opinions stated here are my own, not those of Google. Gemini, TensorFlow, MapReduce, Bigtable, Spanner, ML things, ...
@maxthiessen.bsky.social
PhD student in machine learning at TU Wien. Graphs | active learning | learning theory https://maxthiessen.github.io
@charlesm993.bsky.social
Research fellow at the Flatiron Institute and Stan developer. Research in statistics, ML, and AI for science. Views are my own. https://charlesm93.github.io./
@arnauddoucet.bsky.social
Senior Staff Research Scientist @Google DeepMind, previously Stats Prof @Oxford Uni - interested in Computational Statistics, Generative Modeling, Monte Carlo methods, Optimal Transport.
@smntc.bsky.social
Researcher & faculty member @DPKM dedicated to the field of AI, with the focus on knowledge technologies (knowledge graphs, semweb, RAG) & their use in e-gov, skills matching, research ecosystem, digital humanities and education. Partner @km-a.bsky.social.
@rishav84ia.bsky.social
PhD student at NUS; Differential Privacy and Machine (Un)Learning Trying to stop machines from learning too much about us comp.nus.edu.sg/~rishav1
@iclr-conf.bsky.social
International Conference on Learning Representations https://iclr.cc/
@blog.neurips.cc.web.brid.gy
[bridged from https://blog.neurips.cc/ on the web: https://fed.brid.gy/web/blog.neurips.cc ]
@neuripsconf.bsky.social
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/
@miniapeur.bsky.social
Gradient surfer at UCL. FR, EN, also trying ES. 🇹🇼🇨🇦🇬🇳🇺🇸🇩🇴🇫🇷🇪🇸🇬🇧🇿🇦. Also on Twitter.
@yoshuabengio.bsky.social
Full professor at UdeM, Founder and Scientific Advisor at Mila - Quebec AI Institute, A.M. Turing Award Recipient. Working towards the safe development of AI for the benefit of all. Website and blog: https://yoshuabengio.org/
@olexandr.bsky.social
Chemistry professor at CMU. Connecting chemical sciences with AI #MachineLearning and automated experimentation. #tarheels fan. Care: #design, #photography #Ukraine #cats🐈 Rants are mine
@jan-peters.bsky.social
#RobotLearning Professor (#MachineLearning #Robotics) at @ias-tudarmstadt.bsky.social of @tuda.bsky.social @dfki.bsky.social @hessianai.bsky.social
@richtarik.bsky.social
Professor of CS and Math @ KAUST. Interested in Optimization for Machine Learning. Federated learning guru. Likes 🏓🏋️♂️🎾🏐⛷️⛸️🧘♂️🤿🎹🎸✈️🏔️📷☀️🐈🍅🥚☕️
@krishnaswamylab.bsky.social
We develop AI methods for science, particularly deep learning methods based on data geometry, topology and dynamics systems.
@tomrzah.bsky.social
Ancien MCF à Advanced Septentrional Sorbonne, maintenant PU à Cotedazur University of Mathematics. Moldu de l'ESR. Internaute spécialisé en mathématiques d'après le Figaro. Wokiste 🔻
@xy-han.bsky.social
Assistant Professor @ChicagoBooth | Papers: “Neural Collapse in Deep Nets” & “Survey Descent: Nonsmooth GD” | BSE @Princeton, MS @Stanford, PhD @Cornell | xyhan.me
@ncourty.bsky.social
Professor in Computer Science. Love and hate AI Optimal Transport Affinicionado Head of Obelix group @Irisa
@moleitaomath.bsky.social
Georgia Tech Prof; Tsinghua (Math+Phys), Caltech (Control & Dynamical Systems), NYU Courant (Applied & Computational Math) * deep learning theory * (diffusion) generative model, probabilistic machine learning * AI4Science
@margarita-rova.bsky.social
Photogrammetrist, Ph.D. @UCL, M.Sc. @UCL UoL, Photogrammetry - Remote Sensing @IKY, Surveying Eng. Degree B.Sc. TEI-Ath., 🎓London 🇬🇧 ✈️Athens 🇬🇷
@guanyangwang.bsky.social
Working on Monte Carlo and Markov chains. https://guanyangwang.github.io
@raybai07.bsky.social
Assistant Professor of Statistics at @sc.edu, French bulldog owner, and pop culture enthusiast. I mostly post about work-related things. 👨🏫📊 📚👨🍳🏳️🌈 raybai.net
@krizna.bsky.social
https://sites.google.com/view/kriznakumar/ Associate professor at @ucdavis #machinelearning #deeplearning #probability #statistics #optimization #sampling
@isba-bayesian.bsky.social
The International Society for Bayesian Analysis (ISBA), est. 1992 to promote the development and application of Bayesian analysis, provides an international community for those interested in Bayesian analysis and its applications. https://bayesian.org
@pims.math.ca
PIMS is a consortium of 10 universities promoting research in and the application of the mathematical sciences in western Canada and the Pacific Northwest.
@ubcmath.bsky.social
The official #UBC Mathematics department Bluesky feed. Follow us for research news and department announcements.