Ayush Bharti
Academy Research Fellow at the Dept. of Computer Science, Aalto University, Finland. Affiliated with the Finnish Center for Artificial Intelligence.
Website: http://bharti-ayush.github.io
@adam-cobb.bsky.social
Computer Scientist at SRI. Machine Learning. Uncertainty Quantification.
@llvllahsa.bsky.social
Postdoctoral researcher, Human-in-the-loop Decision making Aalto University, Finland PhD: Inria Lille, France
@bayesianstats.bsky.social
Posts about Bayesian statistics, Monte Carlo, etc from a Reader in Statistics at the University of Warwick https://bsky.app/profile/warwickstats.bsky.social. Personal account. https://richardgeveritt.github.io/
@mvaldenegro.bsky.social
Tenured Asst Prof at the Uni Groningen, Uncertainty in Machine Learning, Robotics, Chilean, Photographer, Feminist, Snoopy lover, Dr #latinXinAI
@ellisinstitute.fi
A world-class research hub in AI and machine learning, in partnership with universities, RDI organizations and businesses in Finland. We are the 2nd institute in the @ellis.eu network. 🔗 ellisinstitute.fi
@hpesonen.bsky.social
Researcher at Oslo Centre for Biostatistics and Epidemiology. Likelihood-free inference|Statistical modelling|Often Bayesian|Open source software development
@arslanchaudhry.bsky.social
Research Scientist GoogleDeepMind Ex @UniofOxford, AIatMeta, GoogleAI
@alexxthiery.bsky.social
Associate Prof. in ML & Statistics at NUS 🇸🇬 MonteCarlo methods, probabilistic models, Inverse Problems, Optimization https://alexxthiery.github.io/
@adriencorenflos.bsky.social
Research Fellow at the university of Warwick. I compute integrals for a living. https://adriencorenflos.github.io/
@nparikh.org
Teaching AI policy at Columbia (https://nparikh.org/sipa6545). Previously Director of AI for NYC. https://nparikh.org
@tmlr-pub.bsky.social
TMLR Homepage: https://jmlr.org/tmlr/ TMLR Infinite Conference: https://tmlr.infinite-conf.org/
@teresa-klatzer.bsky.social
PhD candidate @ University of Edinburgh Bayesian Stats | Machine Learning | Uncertainty Quantification | ML4Science | Scientific Imaging https://teresa-klatzer.github.io/
@mtamborrino.bsky.social
Reader in Statistics at the University of Warwick | Inference for Stochastic processes | Simulation-based inference| Stochastic Numerics | Parallel-in-time numerical methods| Stochastic Modelling | Neuroscience | www.warwick.ac.uk/tamborrino
@matvil.bsky.social
Professor of Statistics at Stockholm University. 25+ years of Bayes and still excited. Loving #juliaLang and #observable. 🇮🇹+🇸🇪
@jurodemann.bsky.social
http://www.julian-rodemann.de | PhD student in statistics @LMU_Muenchen | currently @HarvardStats
@samikaski.bsky.social
Probabilistic machine learning and its applications in AI, health, user interaction. @ellisinstitute.fi, @ellis.eu, fcai.fi, @aifunmcr.bsky.social
@bleilab.bsky.social
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
@auai.org
Association for Uncertainty in AI. Upcoming conference: #uai2025 July 21-25th in Rio de Janeiro, Brazil 🇧🇷 ! https://auai.org/uai2025
@nazaal.bsky.social
ELLIS PhD student in Machine Learning @Aalto University, Finland Working on Bayesian experimental design, causality, human-in-the-loop models Maldivian nazaal.com
@pcastr.bsky.social
Señor swesearcher @ Google DeepMind, adjunct prof at Université de Montréal and Mila. Musician. From 🇪🇨 living in 🇨🇦. https://psc-g.github.io/
@petar-v.bsky.social
Senior Staff Research Scientist, Google DeepMind Affiliated Lecturer, University of Cambridge Associate, Clare Hall GDL Scholar, ELLIS @ellis.eu 🇷🇸🇲🇪🇧🇦
@lauraruis.bsky.social
PhD supervised by Tim Rocktäschel and Ed Grefenstette, part time at Cohere. Language and LLMs. Spent time at FAIR, Google, and NYU (with Brenden Lake). She/her.
@chengkunli.bsky.social
PhD student, University of Helsinki Working on Bayesian computation https://pipme.github.io/
@huangdaolang.bsky.social
PhD student at Aalto University 🇫🇮 Probabilistic ML, amortized inference. See more at huangdaolang.com
@stephenjwild.bsky.social
I try to put straight lines through things but usually fail. Try to be Bayesian when I can. Views my own. RT/like != endorsement.
@dtfrazier.bsky.social
@yifanz99.bsky.social
ELLIS PhD student in Machine Learning at PML group - Aalto University, Finland. Collaborative AI, Computational Rationality, Theory of Mind, and more.
@richtarik.bsky.social
Professor of CS and Math @ KAUST. Interested in Optimization for Machine Learning. Federated learning guru. Likes 🏓🏋️♂️🎾🏐⛷️⛸️🧘♂️🤿🎹🎸✈️🏔️📷☀️🐈🍅🥚☕️
@zacharylipton.bsky.social
CTO & Chief Scientific Officer @ Abridge, CMU ML prof, occasional writer, relapsing 🎷, creator of d2l.ai & approximatelycorrect.com
@mraginsky.bsky.social
web: http://maxim.ece.illinois.edu substack: https://realizable.substack.com
@abeirami.bsky.social
GenAI post-training at Google DeepMind / Google Research | ex-{Meta, EA, MIT, Harvard, Duke} | Georgia Tech PhD | زن زندگی آزادی | opinions my own 📍{NYC, YYZ} 🔗 https://www.mit.edu/~beirami/
@stein.ke
Computer science, math, machine learning, (differential) privacy Researcher at Google DeepMind Kiwi🇳🇿 in California🇺🇸 http://stein.ke/
@mnaslidnyk.bsky.social
PhD @ FAI CDT at UCL (and often found at @statisticsucl.bsky.social ). ⚡Statistical learning; ☄️GPs and kernel methods. 🌐 mashanaslidnyk.github.io 🙋🏻♀️ she/her
@omarrivasplata.bsky.social
Carpe espresso ☕ Associate Professor in Machine Learning Manchester Centre for AI FUNdamentals Department of Computer Science The University of Manchester Alumn UCL, DeepMind, U Alberta, PUCP Deep Thinker. Posts / reposts might be non-deep.
@hudsonchen.bsky.social
PhD candidate at University College London, Center for Foundational Artificial Intelligence. Hudsonchen.github.io
@gavin-brown.bsky.social
Postdoc at UW CSE. Differential privacy, memorization in ML, and learning theory.
@serge.belongie.com
Professor, University Of Copenhagen 🇩🇰 PI @belongielab.org 🕵️♂️ Director @aicentre.dk 🤖 Board member @ellis.eu 🇪🇺 Formerly: Cornell, Google, UCSD #ComputerVision #MachineLearning
@arnauddelaunoy.bsky.social
PhD student working on simulation-based inference under the supervision of @glouppe .
@davidjwarne.bsky.social
Senior Lecturer in Statistical Data Science at QUT in Mathematics. I do inference in ecology and biology. Stochastic modelling and Bayesian computation. Opinions=mine
@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/
@chris-drovandi.bsky.social
@rosanneliu.com
Founder & executive & community builder & organizer & researcher ML Collective (mlcollective.org) Google DeepMind rosanneliu.com