Associate Prof @ LMU Munich
PI @ Munich Center for Machine Learning
Ellis Member
Associate Fellow @ relAI
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davidruegamer.github.io |
muniq.ai
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BNNs, UQ in DL, DL Theory (Overparam, Implicit Bias, Optim), Sparsity
PhD student in AutoML @ University of Tübingen
Associate Prof. in ML & Statistics at NUS 🇸🇬
MonteCarlo methods, probabilistic models, Inverse Problems, Optimization
alexxthiery.github.io
Professor of Statistics at Stockholm University.
25+ years of Bayes and still excited.
Big fan of Julialang, Observable and Linux.
🇮🇹+🇸🇪
Cluster of Excellence "Machine Learning: New Perspectives for Science" at University of Tübingen, Germany. Blog:
machinelearningforscience.de
Studying neural computation • Assistant Professor of Neuroscience at Baylor College of Medicine •
lipshutzlab.com
Professor for CS at the Tuebingen AI Center and affiliated Professor at MIT-IBM Watson AI lab - Multimodal learning and video understanding - GC for ICCV 2025 -
hildekuehne.github.io
Machine learning researcher at Microsoft Research. Adjunct professor at Stanford.
Machine learning & statistics researcher @ Flatiron Institute. Posts on probabilistic ML, Bayesian statistics, decision making, and AI/ML for science.
www.dianacai.com
I am a PhD candidate at the Frankfurt Institute for Advanced Studies, working on simulation-based inference in biophysics.
CNRS researcher at ENS
theoretical neuroscience phd student at columbia
humanistic technology bretheren @MILA_Quebec & @creativedlab Mentor ~ AI for Science ~ ex @deepgenomics & @CAMHResearch, intern @google & @imagia_ai ~
www.viviano.ca
Computational neuroscientist and complexity scientist. Professor at Ghent University.
Master’s student in Machine Learning at University of Tübingen.
Assistant prof @ UofT, associated scientist @ Helmholtz Institute for RNA-based Infection Research. Pathogen systems biology / informatics / functional genomics. Coastal New Hampshirite. Drink Moxie.