BayesFlow
Amortized Bayesian Workflows in Python.
🎲 Post author sampled from a multinomial distribution, choices
⋅ @marvinschmitt.bsky.social
⋅ @paulbuerkner.com
⋅ @stefanradev.bsky.social
🔗GitHub github.com/bayesflow-org/bayesflow
💬Forum discuss.bayesflow.org
@courtneybhilton.bsky.social
cognitive scientist studying how minds, music, and culture interact • University of Auckland • from 🇦🇺 living in 🇳🇿
@masonyoungblood.bsky.social
Postdoc fellow researching cultural evolution at the Institute for Advanced Computational Science - Electronic music as Callosum - masonyoungblood.com
@glouppe.bsky.social
AI for Science, deep generative models, inverse problems. Professor of AI and deep learning @universitedeliege.bsky.social. Previously @CERN, @nyuniversity.
@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
@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
@mattrosinski.bsky.social
Working with data and other business problems. Interests include causality, Bayesian reasoning, LLM Agents, economics, operations research and decision making.
@danielheck.bsky.social
Professor of Psychological Methods (University of Marburg) Mathematical psychology | Cognitive modeling | Psychometrics | Bayesian statistics Personal: www.dwheck.de Team: https://www.uni-marburg.de/de/fb04/team-heck
@alex-andorra.bsky.social
⚾ Senior Applied Scientist @ Miami Marlins 🎙️ Creator @learnbayesstats.com podcast 📊 Cofounder @pymc_labs 👨🏫 Teacher @IntuitiveBayes
@learnbayesstats.bsky.social
A podcast on #BayesianStats -- the methods, the projects, the people By @alex-andorra.bsky.social Listen: http://tinyurl.com/pvz4ekky Support: http://tinyurl.com/2p8mpxnp
@dtfrazier.bsky.social
@matthewgnagler.bsky.social
Professor of Economics, @cpowellschool, @CityCollegeNY, @GC_CUNY, former White House SBST. Visiting @CUBoulder. Behavioral econ, decision-making. Outside there’s a boxcar waiting.
@bsiepe.bsky.social
PhD Student in Psychological Methods (University of Marburg) Interested in time series, simulation studies & open science https://bsiepe.github.io
@sambondtaylor.bsky.social
Senior Researcher in Health Futures at Microsoft Research. Previously PhD in deep generative models at Durham University.
@alfcnz.bsky.social
Musician, math lover, cook, dancer, 🏳️🌈, and an ass prof of Computer Science at New York University
@kylecranmer.bsky.social
Director Data Science Institute @UWMadison, Professor of Physics, EiC @MLSTjournal. Physics, stats/ML/AI, open science.
@sungkim.bsky.social
A business analyst at heart who enjoys delving into AI, ML, data engineering, data science, data analytics, and modeling. My views are my own.
@lacerbi.bsky.social
Assoc. Prof. of Machine & Human Intelligence | Univ. Helsinki & Finnish Centre for AI (FCAI) | Bayesian ML & probabilistic modeling | https://lacerbi.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/
@smsharma.bsky.social
Researcher at Anthropic, incoming faculty at BU. Based in SF. Likes cats. smsharma.github.io.
@mjskay.com
Assoc Prof Computer Science and Communication Studies at Northwestern. Infovis, HCI. Author of tidybayes & ggdist R pkgs. he/him. 🏳️🌈 https://mjskay.com/ Co-director https://mucollective.northwestern.edu Co-founder https://journalovi.org
@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
@kevinkaichuang.bsky.social
Principal Researcher in BioML at Microsoft Research. He/him/他. 🇹🇼 yangkky.github.io
@lukasheinrich.com
High Energy Physics/Machine Learning/Data Science Prof @tum.de www.lukasheinrich.com
@fusaroli.bsky.social
Cognitive Science at Aarhus Uni. Curious about social interactions, symbolic behaviors, and meta-science. Focus on stats, computational modeling, machine learning, complex systems, language, exp semiotics and neuropsychiatric conditions. He/They.
@spinkney.bsky.social
I mostly post about probabilistic programming stuff, statistics, and R/Julia/Python (in that order). I'm a volunteer Stan developer and citizen scientist (papers on arxiv). Currently my day job is doing marketing analytics.
@avt.im
Decision-making under uncertainty, machine learning theory, artificial intelligence · anti-ideological · Assistant Research Professor, Cornell https://avt.im/ · https://scholar.google.com/citations?user=6Qa-wXMAAAAJ&sortby=pubdate
@jmtomczak.bsky.social
Group Leader, Generative AI | NeurIPS 2024 Program Chair | Principal Scientist & Director | Founder of Amsterdam AI Solutions
@sethaxen.com
Empowering scientists with machine learning @mlcolab.org. Sometimes #Bayesian. Usually #FOSS. Preferably in #JuliaLang. Expat: 🇺🇸 ➡️ 🇩🇪 💼 On the job market (remote/Stuttgart area) sethaxen.com
@janboelts.bsky.social
Researcher at appliedAI Institute for Europe. Working on simulation-based inference and responsible ML
@danielged.bsky.social
PostDoc Tübingen @mackelab.bsky.social 🇩🇪 PhD Uppsala 🇸🇪 MSc Delft 🇳🇱 Machine learning for science dgedon.github.io
@chrisoffner3d.bsky.social
Student Researcher @ Google MSc CS @ ETH Zurich (@ethzurich.bsky.social) Visual computing, 3D computer vision, Spatial AI, ML, and robotics perception. 📍Zurich, Switzerland
@jwvdm.bsky.social
Associate Professor (UHD) at the University of Amsterdam. Probabilistic methods, deep learning, and their applications in science in engineering.
@yungbayesian.bsky.social
PhD student at TU Berlin, working on generative models and inverse problems he/him
@tcarpenter.bsky.social
🧪 Data science, survey science, social science 💻 Director of Data Science @ Microsoft Garage [Posts do not represent my employer] 🧮 Stats, R, python 📝 Science, Research: measurement, social biases, emotion. Ex-academic but scientist at heart
@upicchini.bsky.social
Full Professor at @deptmathgothenburg.bsky.social | simulation-based inference | Bayes | stochastic dynamical systems | https://umbertopicchini.github.io/
@siahkoohi.bsky.social
Simons Postdoctoral Fellow at Rice University | Uncertainty Quantification https://alisiahkoohi.github.io/ On the academic job market for Fall 2025
@annalenakofler.bsky.social
PhD Student at MPI-IS working on ML for Gravitational Waves | #MLforPhysics #SBI https://www.annalenakofler.com
@stephenrgreen.bsky.social
Black holes, gravitational waves, and AI. UKRI Future Leaders Fellow @ University of Nottingham. https://www.stephenrgreen.com/
@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