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Associate Professor at MIT EECS, LIDS.
Assoc. prof. in mathematics at Chalmers/University of Gothenburg. Mainly probability, analysis and computational methods, but I like to visit most areas of mathematics. Elected member Young Academy of Sweden. Mostly here for the science, some for the jokes
Blog and webinar by Young Statisticians Europe (YSE) of @fenstats.bsky.social, supported by the Bernoulli Society and the @instmathstat.bsky.social.
PhD student in Computational Statistics and Machine Learning at STOR-i CDT, Lancaster University, UK.
Research Interests: Bayesian Experimental Designs, Gaussian Processes, Sampling Algorithms.
https://shusheng3927.github.io/
EurIPS is a community-organized, NeurIPS-endorsed conference in Copenhagen where you can present papers accepted at @neuripsconf.bsky.social
eurips.cc
Assistant Professor at the Department of Computer Science, University of Liverpool.
https://lutzoe.github.io/
Independent news from the University of Copenhagen and beyond. Got a story? Mail to uni-avis@adm.ku.dk.
Research collaboration among 5 universities in Denmark: Aalborg University, IT University of Copenhagen, University of Aarhus, Technical University of Denmark, and the University of Copenhagen.
https://www.aicentre.dk/
Bayesian modelling and computation - postdoc at MRC Biostatistics Unit, University of Cambridge
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]
Fostering the development and dissemination of the theory and applications of statistics and probability
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/ ]
https://maxhhird.github.io/
Applied probabilist. Probability, MCMC, optimization, information theory, TCS.
https://mchchoi.github.io/
The world's leading venue for collaborative research in theoretical computer science. Follow us at http://YouTube.com/SimonsInstitute.
Postdoc @harvard.edu @kempnerinstitute.bsky.social
Homepage: http://satpreetsingh.github.io
Twitter: https://x.com/tweetsatpreet
Professor of Statistics at University of Warwick; computational methods, Monte Carlo, gradient flows and fun things like those.
Postdoc in statistics at the Department of Mathematical Sciences, UCPH. Follow me at https://jolars.co.
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
Math Assoc. Prof. (on leave, Aix-Marseille, France)
Interest: Prob / Stat / ANT. See: https://sites.google.com/view/sebastien-darses/research?authuser=0
Teaching Project (non-profit): https://highcolle.com/
Strengthening Europe's Leadership in AI through Research Excellence | ellis.eu
Ph.D. Student @ UPenn. I am mainly interested on Bayesian inference algorithms and stochastic optimization.
Research Fellow @ NTU Singapore. Past: Postdoc @ Univ. of Helsinki and FCAI; PhD @ Univ. de Lorraine
Transactions on Machine Learning Research (TMLR) is a new venue for dissemination of machine learning research
https://jmlr.org/tmlr/
Google Chief Scientist, Gemini Lead. Opinions stated here are my own, not those of Google. Gemini, TensorFlow, MapReduce, Bigtable, Spanner, ML things, ...
PhD student in machine learning at TU Wien.
learning theory | graphs
https://maxthiessen.github.io
Prof at the University of British Columbia. Research in statistics, ML, and AI for science. Views are my own. https://charlesm93.github.io./
Researcher in machine learning
Senior Staff Research Scientist @Google DeepMind, former Chair Prof @Oxford Uni
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.
PhD from NUS; All things privacy
Lead Privacy Engineer
https://comp.nus.edu.sg/~rishav1
International Conference on Learning Representations https://iclr.cc/
[bridged from https://blog.neurips.cc/ on the web: https://fed.brid.gy/web/blog.neurips.cc ]
San Diego Dec 2-7, 25 and Mexico City Nov 30-Dec 5, 25. Comments to this account are not monitored. Please send feedback to townhall@neurips.cc.
Gradient surfer at UCL. FR, EN, also trying ES. 🇹🇼🇨🇦🇬🇳🇺🇸🇩🇴🇫🇷🇪🇸🇬🇧🇿🇦. Also on Twitter.
Working towards the safe development of AI for the benefit of all at Université de Montréal, LawZero and Mila.
A.M. Turing Award Recipient and most-cited AI researcher.
https://lawzero.org/en
https://yoshuabengio.org/profile/
Chemistry professor at CMU. Connecting chemical sciences with AI #MachineLearning and automated experimentation. #tarheels fan. Care: #design, #photography #Ukraine #cats🐈 Rants are mine
#RobotLearning Professor (#MachineLearning #Robotics) at @ias-tudarmstadt.bsky.social of
@tuda.bsky.social @dfki.bsky.social @hessianai.bsky.social
Professor of CS and Math @ KAUST. Interested in Optimization for Machine Learning. Federated learning guru. Likes 🏓🏋️♂️🎾🏐⛷️⛸️🧘♂️🤿🎹🎸✈️🏔️📷☀️🐈🍅🥚☕️
We develop AI methods for science, particularly deep learning methods based on data geometry, topology and dynamics systems.
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 islamogauchiste antifa 🔻
Associate Professor of Math and Statistics at UAlbany
Assistant Professor @ChicagoBooth | Papers: “Neural Collapse in Deep Nets” & “Survey Descent: Nonsmooth GD” | BSE @Princeton, MS @Stanford, PhD @Cornell | xyhan.me
Professor in Computer Science. Love and hate AI
Optimal Transport Affinicionado
Head of Obelix group
@Irisa
Assistant Professor of Statistics @ ESSEC Business School
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
Photogrammetrist, Ph.D. @UCL, M.Sc. @UCL UoL, Photogrammetry - Remote Sensing GSF @ΙΚΥ scholar, Surveying Eng. B.Sc. TEI-Ath. 🎓London 🇬🇧 ✈️Athens 🇬🇷
Machine learning
Google DeepMind
Paris
Approximate Bayesian at Bristol University
Working on Monte Carlo and Markov chains.
https://guanyangwang.github.io
Assistant Professor of Statistics at George Mason University, French bulldog owner, and pop culture enthusiast. Any views expressed on here are my own, not my employer's. 👨🏫📊 📚👨🍳🏳️🌈 raybai.net
Probabilistic ML researcher at Google Deepmind
https://sites.google.com/view/kriznakumar/ Associate professor at @ucdavis
#machinelearning #deeplearning #probability #statistics #optimization #sampling
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 is a consortium of universities in Western Canada and the Pacific NW, dedicated to promoting research in and the application of mathematical sciences.
Learn more: https://pims.math.ca/
The official #UBC Mathematics department Bluesky feed. Follow us for research news and department announcements.
💻 https://www.math.ubc.ca/
🔗 https://lnk.bio/ubcmath
I work on AI at OpenAI.
Former VP AI and Distinguished Scientist at Microsoft.
The California Institute of Technology aims to expand human knowledge and benefit society through research integrated with education.
Mathematician at UCLA. My primary social media account is https://mathstodon.xyz/@tao . I also have a blog at https://terrytao.wordpress.com/ and a home page at https://www.math.ucla.edu/~tao/
At the Fields Institute, mathematics research, innovation and education flourish. We foster an inclusive, equitable and collaborative culture where everyone can discover mathematics, and where mathematicians can make meaningful contributions to the world.
AGI research @DeepMind.
Ex cofounder & CTO Vicarious AI (acqd by Alphabet),
Cofounder Numenta
Triply EE (BTech IIT-Mumbai, MS&PhD Stanford). #AGIComics
blog.dileeplearning.com
He teaches information science at Cornell. http://mimno.infosci.cornell.edu
Primarily Robotics and AI. Distinguishing hype-notism from plausibility one press release at a time. rodneybrooks.com/blog people.csail.mit.edu/brooks
Foundations of AI. I like simple and minimal examples and creative ideas. I also like thinking about the next token 🧮🧸
Google | PhD, CMU |
https://arxiv.org/abs/2504.15266 | https://arxiv.org/abs/2403.06963
vaishnavh.github.io
Associate Professor of Computer Science at Northeastern University in Boston. Dad. Imposter.
Machine learning, environmental modeling, sustainability, robotics
Professor @UCL
He/him
Machine learning researcher. Professor in ML department at CMU.
Secular Bayesian.
Professor of Machine Learning at Cambridge Computer Lab
Talent aficionado at http://airetreat.org
Alum of Twitter, Magic Pony and Balderton Capital
Sr. Principal Research Manager at Microsoft Research, NYC // Machine Learning, Responsible AI, Transparency, Intelligibility, Human-AI Interaction // WiML Co-founder // Former NeurIPS & current FAccT Program Co-chair // Brooklyn, NY // http://jennwv.com
Anthropologist - Bayesian modeling - science reform - cat and cooking content too - Director @ MPI for evolutionary anthropology https://www.eva.mpg.de/ecology/staff/richard-mcelreath/
Parent, spouse, Australian, Professor of Machine Learning in Oxford. Long Covid, trans rights, music, reggae, AI must be good for humans, https://www.robots.ox.ac.uk/~mosb
My opinions only here.
👨🔬 RS DeepMind
Past:
👨🔬 R Midjourney 1y 🧑🎓 DPhil AIMS Uni of Oxford 4.5y
🧙♂️ RE DeepMind 1y 📺 SWE Google 3y 🎓 TUM
👤 @nwspk
Assistant Professor / Faculty Fellow @nyudatascience.bsky.social studying cognition in mind & brain with neural nets, Bayes, and other tools (eringrant.github.io).
elsewhere: sigmoid.social/@eringrant, twitter.com/ermgrant @ermgrant
Decision-making under uncertainty, machine learning theory, artificial intelligence · anti-ideological · Assistant Research Professor, Cornell
https://avt.im/ · https://scholar.google.com/citations?user=EGKYdiwAAAAJ&sortby=pubdate
Theory & practice of probabilistic programming. Current: MIT Probabilistic Computing Project; Fall '25: Incoming Asst. Prof. at Yale CS
Associate Professor (UHD) at the University of Amsterdam. Probabilistic methods, deep learning, and their applications in science in engineering.
#AI4Science #CompNeuro #NeuroAI #SBI
www.mackelab.org @mackelab.bsky.social
· Prof Uni Tuebingen ML4Science BCCN tue.ai
· Adjunct MPI IS · Fellow ellis.eu
· currently hiring postdocs and PhD students
· sometimes goes for a run
Assistant Professor, University of Toronto.
Junior Research Fellow, Trinity College, Cambridge.
AI Fellow, Georgetown University.
Probabilistic Machine Learning, AI Safety & AI Governance.
Prev: Oxford, Yale, UC Berkeley, NYU.
https://timrudner.com
Machine Learning Researcher
https://alexalemi.com
https://blog.alexalemi.com
Assistant Prof in Prob ML @ KTH 🇸🇪
WASP Fellow & ELLIS Member
Ex: Aalto Uni 🇫🇮, TU Graz 🇦🇹, originally 🇩🇪.
—
https://trappmartin.github.io/
—
Reliable ML | UQ | Bayesian DL | tractability & PCs
Senior Research Scientist at Google DeepMind. AGI Alignment researcher. Views my dog's.
Postgraduate researcher (PhD) at Imperial College London and visiting researcher at the University of Oxford. Working on probabilistic machine learning.
Research scientist, Inria. Statistical machine learning.
Assistant professor in Machine Learning and Theoretical Neuroscience. Generative modeling and memory. Opinionated, often wrong.
PhD in Deep Learning at Cambridge. Previously Microsoft Research AI resident & researcher at Qualcomm. I want to find the key to generalisation.
Research Scientist @GoogleDeepMind | Organiser @DeepIndaba | Machine Learning PhD @CambridgeMLG | 🇿🇦
Trying to make all the AIs more efficient. Former Gaussian process connoisseur. Researcher at Microsoft Research.
Postdoc in Bayesian machine learning at the Technical University of Denmark. I used to think a lot about the universe.
