@firthstat.bsky.social
Research in #statistics, University of Warwick. https://warwick.ac.uk/dfirth Also @firthstat@fediscience.org (Mastodon) Current main interest is compositional data analysis. Programming in #rstats
@ccardehu.bsky.social
Economist turned Statistician | PhD LSE Research interests: Latent variable models, Computational Statistics, Applied Statistics
@adriencorenflos.bsky.social
Research Fellow at the university of Warwick. I compute integrals for a living. https://adriencorenflos.github.io/
@zhidilin.bsky.social
Research Fellow @NUS 🇸🇬 | Machine Learning | Generative Models | Bayesian Inference 🌐 https://zhidi-lin.github.io/
@blackhc.bsky.social
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
@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.
@realtimeriddle.bsky.social
Independent games researcher (he/him) realtimeriddle.com
@leanderk.bsky.social
ML PhD student @ Uni Edinburgh Interesting in (tractable) probabilistic machine learning, computing niche integrals and whatever you want to tell me about your research!
@adamjohansen.bsky.social
Professor of Statistics at University of Warwick; computational methods, Monte Carlo, gradient flows and fun things like those.
@sbi-devs.bsky.social
Community-maintained simulation-based inference (SBI) toolkit in PyTorch: • NPE, NLE & NRE • amortized and sequential inference • wide range of diagnostics Posts written by @deismic.bsky.social & @janboelts.bsky.social. 🔗 https://github.com/sbi-dev/sbi
@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.
@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
@ryanpsullivan.bsky.social
PhD Candidate at the University of Maryland researching reinforcement learning and autocurricula in complex, open-ended environments. Previously RL intern @ SonyAI, RLHF intern @ Google Research, and RL intern @ Amazon Science
@nbarriga.bsky.social
Assistant professor at Universidad de Talca. Game AI researcher. Procedural puzzle generation and mixed-initiative game design tools. PhD in CS from University of Alberta.
@sebastianlerch.bsky.social
Junior research group leader at the Karlsruhe Institute of Technology, interested in probabilistic forecasting, statistics, ML, with applications in weather, energy, environmental sciences, and beyond
@aiide.bsky.social
Official account of the AAAI conference on Artificial Intelligence and Interactive Digital Entertainment
@paulbuerkner.com
Full Professor of Computational Statistics at TU Dortmund University Scientist | Statistician | Bayesian | Author of brms | Member of the Stan and BayesFlow development teams Website: https://paulbuerkner.com Opinions are my own
@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/
@fjrubio.bsky.social
Lecturer at the Department of Statistical Science of UCL. All opinions my own. 🇲🇽🇬🇧 https://sites.google.com/site/fjavierrubio67/ #rstats #JuliaLang #Bayesian #Statistics #Biostatistics
@dianarycai.bsky.social
Machine learning & statistics researcher @ Flatiron Institute. Posts on probabilistic ML, Bayesian statistics, decision making, and AI/ML for science. www.dianacai.com
@thomas-pinder.bsky.social
Bayesian statistics, Gaussian processes, and all things ML. Senior Applied Scientist at Amazon and developer of GPJax.
@ryzhang.bsky.social
PhD student in Computational Statistics and Machine Learning at STOR-i CDT, Lancaster University, UK. Research Interests: Sampling Algorithms, Bayesian Experiment Designs, Neural Amortization. https://shusheng3927.github.io/
@louissharrock.bsky.social
Postdoc in Statistical Machine Learning @ Lancaster Uni. Previously PhD @ Imperial College London, MA @ Cambridge Uni. Interested in computational statistics, probabilistic machine learning, optimisation. Website: https://louissharrock.github.io/
@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
@raihatuitaura.bsky.social
Postdoc in Bayesian spatiotemporal inference for epidemiology at Warwick
@trappmartin.bsky.social
ML Researcher @ Aalto University 🇫🇮. Previous: TU Graz 🇦🇹, originally from 🇩🇪. Doing: Reliable ML | uncertainty stuff | Bayesian stats | probabilistic circuits https://trappmartin.github.io/
@ryanpkelly.bsky.social
PhD student at QUT in computational Bayesian statistics simulation-based inference | generative modelling | robust ML
@alexxthiery.bsky.social
Associate Prof. in ML & Statistics at NUS 🇸🇬 MonteCarlo methods, probabilistic models, Inverse Problems, Optimization https://alexxthiery.github.io/
@dpkingma.bsky.social
Research scientist at Anthropic. Prev. Google Brain/DeepMind, founding team OpenAI. Computer scientist; inventor of the VAE, Adam optimizer, and other methods. ML PhD. Website: dpkingma.com
@mvaldenegro.bsky.social
Tenured Asst Prof at the Uni Groningen, Uncertainty in Machine Learning, Robotics, Chilean, Photographer, Feminist, Snoopy lover, Dr #latinXinAI
@spmontecarlo.bsky.social
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
@royalstatsoc.bsky.social
We're a membership body for statisticians and data professionals, promoting a world with data at the heart of understanding and decision-making.
@jascha.sohldickstein.com
Recently a principal scientist at Google DeepMind. Joining Anthropic. Most (in)famous for inventing diffusion models. AI + physics + neuroscience + dynamical systems.
@imurray.bsky.social
Professor of Machine Learning and Inference, Edinburgh Informatics, Formally Amazon Scholar. Opinions are my own. Also https://homepages.inf.ed.ac.uk/imurray2/ and https://mastodon.social/@imurray and https://x.com/driainmurray
@shakirm.bsky.social
AI, sociotechnical systems, social purpose. Research director at Google DeepMind. Cofounder and Chair at Deep Learning Indaba. FAccT2025 co-program chair. shakirm.com
@canaesseth.bsky.social
Assistant Professor of Machine Learning Generative AI, Uncertainty Quantification, AI4Science Amsterdam Machine Learning Lab, University of Amsterdam https://naesseth.github.io
@mvdw.bsky.social
Associate Professor in Machine Learning at the University of Oxford. Interested in automatic inductive bias selection using Bayesian tools.
@jmtomczak.bsky.social
Group Leader, Generative AI | NeurIPS 2024 Program Chair | Principal Scientist & Director | Founder of Amsterdam AI Solutions
@jesfrellsen.bsky.social
Associate Professor of Machine Learning and Signal Processing, Technical University of Denmark (DTU) https://frellsen.org
@aperuzzi94.bsky.social
Postdoctoral Researcher at Ca' Foscari University of Venice, Department of Economics. Research interests: Bayesian Stats & Econometrics, Network models. - https://www.unive.it/data/persone/19675148 - https://sites.google.com/view/antonio-peruzzi/