@trappmartin.bsky.social
ML Researcher @ Aalto University 🇫🇮. Doing: Probabilistic ML | probabilistic circuits | (Bayesian) deep learning | Bayesian stats https://trappmartin.github.io/
@auai.org
Association for Uncertainty in AI. Upcoming conference: #uai2025 July 21-25th in Rio de Janeiro, Brazil 🇧🇷 ! https://auai.org/uai2025
@javaloyml.bsky.social
Postdoc at the University of Edinburgh working on Machine Learning. Previously in Saarbrücken, Tübingen, and Murcia. 🌐 adrianjav.github.io
@guyvdb.bsky.social
🎓 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/
@nolovedeeplearning.bsky.social
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
@poorvagarg.bsky.social
Working on Probabilistic Programming Languages https://web.cs.ucla.edu/~poorvagarg/
@pulkitverma.bsky.social
Postdoc @csail.mit.edu, Ph.D. from @scai-asu.bsky.social Working on AI Safety, AI Assessment, Automated Planning, Interpretability, Robotics Previously: Masters from IITGuwahati, Research Intern at MetaAI https://pulkitverma.net
@kstechly.bsky.social
Linguistics M.A. working with Prof. Subbarao Kambhampati in the Yochan lab. kstechly.github.io
@rrwilliams.bsky.social
professor of EECS at MIT. working in theoretical computer science namely algorithm design, complexity theory, circuit complexity, etc. i'll let you know when P != NP is proved (and when it's not)
@lucaeyring.bsky.social
ELLIS PhD student at TU Munich & Helmholtz AI Generative Modeling - Optimal Transport - Representation Learning https://lucaeyring.com/
@mlbscores.bsky.social
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@bsky.app
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