Post-doc @ VU Amsterdam, prev University of Edinburgh.
Neurosymbolic Machine Learning, Generative Models, commonsense reasoning
https://www.emilevankrieken.com/
ELLIS PhD student at the University of Edinburgh
https://lenazellinger.github.io/
#probabilistic-ml #circuits #tensor-networks
PhD student @ University of Edinburgh
https://loreloc.github.io/
web: http://maxim.ece.illinois.edu
substack: https://realizable.substack.com
Academy 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.
Web page https://users.aalto.fi/~ave/
Associate Professor in Machine Learning, Aalto University. ELLIS Scholar.
http://arno.solin.fi
PhD Student in ML at JKU 🇦🇹
Makes the most normal videos on YouTube.
Also a cohort on MinnMax.
https://jacobgeller.com/
I work on AI at OpenAI.
Former VP AI and Distinguished Scientist at Microsoft.
🎓 CS Prof at UCLA
🧠 Researching reasoning and learning in artificial intelligence: tactable deep generative models, probabilistic circuits, probabilistic programming, neurosymbolic AI
https://web.cs.ucla.edu/~guyvdb/
Assistant Prof in Prob ML @ KTH 🇸🇪
WASP Fellow & ELLIS Member
Ex: Aalto Uni 🇫🇮, TU Graz 🇦🇹, originally 🇩🇪.
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https://trappmartin.github.io/
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Reliable ML | UQ | Bayesian DL | tractability & PCs
Machine Learning Professor
https://cims.nyu.edu/~andrewgw
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
human being | assoc prof in #ML #AI #Edinburgh | PI of #APRIL | #reliable #probabilistic #models #tractable #generative #neuro #symbolic | heretical empiricist | he/him
👉 https://april-tools.github.io
Professor for AI/ML Methods in Tübingen. Posts about Probabilistic Numerics, Bayesian ML, AI for Science. Computations are data, Algorithms make assumptions.
Assistant prof at TU Graz, formerly assistant prof at TU Eindhoven, Marie-Curie Fellow at University of Cambridge. Probabilistic Machine Learning.
ML PhD Student @ TU Graz
Interested in Diffusion/Flows, Tractable Models and Neurosymbolic Learning
Anthropologist - Bayesian modeling - science reform - cat and cooking content too - Director @ MPI for evolutionary anthropology https://www.eva.mpg.de/ecology/staff/richard-mcelreath/
Researcher in machine learning
News for international scientists, students and media from Graz University of Technology. #science #passion #technology
Imprint: https://www.tugraz.at/ueber-diese-seite/impressum/
