Luc De Raedt
Professor of AI, DTAI, KU Leuven; Wallenberg Guestprofessor AASS, Örebro University; Director http://Leuven.AI, AAAI and EurAI Fellow, Former PC Chair IJCAI, ICML, ECAI and ECMLPKDD, ERC AdG 2015 and 2023
@jiaoying.bsky.social
PhD researcher @ KU Leuven, member of LEMUR MSCA doctoral network NeuroSymbolic AI + LLM
@wannesm.bsky.social
@robinmanhaeve.bsky.social
A post-doc researcher at DTAI, KU Leuven. I focus on neurosymbolic AI.
@daviddebot.bsky.social
PhD student @dtai-kuleuven.bsky.social in neurosymbolic AI and concept-based learning https://daviddebot.github.io/
@pieter.ai
LLM engineer at Aleph Alpha | 👨💻 Fairness in LLMs and Dutch NLP | Prev. apple, PhD & postdoc from KU Leuven pieter.ai
@mgorinova.bsky.social
ex-@TwitterCortex @Birdwatch 💙 | Now LLMs for innovation & IP 🚀 | PhD in probabilistic machine learning, loyal servant to a cat, collector of random variables, lover of well-placed puns https://mgorinova.github.io/
@lambdaphdp.bsky.social
Exploring {Probabilistic Programming w/ Typed λ-Calculi; Lean; Program Synthesis; Self-Improving A.I.; Evolutionary Genetics} @ umontreal. Ph.D. USherbrooke
@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.
@trappmartin.bsky.social
ML Researcher @ Aalto University 🇫🇮. Doing: Probabilistic ML | probabilistic circuits | (Bayesian) deep learning | Bayesian stats https://trappmartin.github.io/
@osazuwa.bsky.social
Probabilistic machine Learning, causal inference, language models. Teach at http://Altdeep.ai & @Northeastern, work at @MSFTResearch.
@aloctavodia.bsky.social
Research Fellow at Aalto University. Open source contributor #ArviZ, #Bambi, #Kulprit, #PreliZ, #PyMC, #PyMC-BART. Support me at https://ko-fi.com/aloctavodia https://bayes.club/@aloctavodia
@allendowney.bsky.social
Former professor at Olin College, principal data scientist at PyMC Labs, author of Think Python, and Probably Overthinking It -- blog and book -- and stark raving Bayesian.
@pymc-labs.bsky.social
The Bayesian Consultancy • Using PyMC to solve your most challenging data science problems • http://pymc-labs.com
@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]
@cfreer.bsky.social
Research Scientist at MIT studying interactions of randomness and computation
@cameron.pfiffer.org
AI systems, financial economics PhD, ATProto fan, man with tattooed legs Signal: https://signal.me/#eu/AQ1ajwHwgg0rabcRsdtkm9UYpdg52axiruSTFMmrFy0LR4Ds8pdH25jzjoTc2bGu
@colcarroll.bsky.social
Runner, biker, hiker. Software engineer @DeepMind, and open source enthusiast. Sometimes crafts things out of wood. he/his.
@arviz.bsky.social
Official account for the ArviZ project. We provide #FOSS tools for exploratory analysis of #Bayesian models in #Python and #JuliaLang www.arviz.org
@avehtari.bsky.social
Professor in computational Bayesian modeling at Aalto University, Finland. Bayesian Data Analysis 3rd ed, Regression and Other Stories, and Active Statistics co-author. #mcmc_stan and #arviz developer. Also in Mastodon: https://bayes.club/@avehtari
@statmodeling.bsky.social
Automatically tweets new posts from http://statmodeling.stat.columbia.edu Please respond in the comment section of the blog. Old posts spool at https://twitter.com/StatRetro
@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
@poorvagarg.bsky.social
Working on Probabilistic Programming Languages https://web.cs.ucla.edu/~poorvagarg/
@sholtzen.bsky.social
I like computers. assistant prof at northeastern https://www.khoury.northeastern.edu/home/sholtzen/
@marvinschmitt.bsky.social
🇪🇺 AI/ML, Member @ellis.eu 🤖 Generative NNs, ProbML, Uncertainty Quantification, Amortized Inference, Simulation Intelligence 🎓 PhD+MSc CS, MSc Psych 🏡 marvinschmitt.github.io ✨ On the job market, DMs open 📩
@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
@bayesflow.org
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
@thomas-pinder.bsky.social
Bayesian statistics, Gaussian processes, and all things ML. Senior Applied Scientist at Amazon and developer of GPJax.
@vincefort.bsky.social
PI at Helmholtz AI, Faculty at TU Munich, Fellow at Zuse School for reliable AI, Branco Weiss Fellow, ELLIS Scholar. Prev: Cambridge CBL, St John's College, ETH Zürich, Google Brain, Microsoft Research, Disney Research. https://fortuin.github.io/
@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
@treichelt.bsky.social
postdoc @ uni oxford. machine learning. climate. statistics. web: treigerm.github.io
@ellieyhc.bsky.social
PhD student @mit_csail | Programming Systems for AI/ML | don’t ask how many cups of coffee I’ve drank
@mlbowers.bsky.social
PhD student at MIT studying program synthesis, probabilistic programming, and cognitive science. she/her
@kartikchandra.bsky.social
I'm a PhD student at MIT CSAIL. More about me: https://cs.stanford.edu/~kach
@roydanroy.bsky.social
Research Director, Founding Faculty, Canada CIFAR AI Chair @VectorInst. Full Prof @UofT - Statistics and Computer Sci. (x-appt) danroy.org I study assumption-free prediction and decision making under uncertainty, with inference emerging from optimality.
@ravenwater.bsky.social
Accelerating innovation, solving problems through high-performance compute, computational engineering entrepreneur, inventor of Domain Flow
@lacerbi.bsky.social
Assoc. Prof. of Machine & Human Intelligence | Univ. Helsinki & Finnish Centre for AI (FCAI) | Bayesian ML & probabilistic modeling | https://lacerbi.github.io/
@aseyboldt.bsky.social
@baxtereaves.bsky.social
CEO @ Redpoll. Probabilistic AI/ML researcher. Bayesian nonparmetrics. Cognitive Science.
@betanalpha.bsky.social
Zealous modeler. Annoying statistician. Reluctant geometer. Support my writing at http://patreon.com/betanalpha. He/him.