Professor, University of Tübingen @unituebingen.bsky.social.
Head of Department of Computer Science 🎓.
Faculty, Tübingen AI Center 🇩🇪 @tuebingen-ai.bsky.social.
ELLIS Fellow, Founding Board Member 🇪🇺 @ellis.eu.
CV 📷, ML 🧠, Self-Driving 🚗, NLP 🖺
Cluster of Excellence "Machine Learning: New Perspectives for Science" at University of Tübingen, Germany. Blog: https://www.machinelearningforscience.de/
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
Director Data Science Institute @UWMadison, Professor of Physics,
EiC @MLSTjournal. Physics, stats/ML/AI, open science.
AI for Science, deep generative models, inverse problems. Professor of AI and deep learning @universitedeliege.bsky.social. Previously @CERN, @nyuniversity. https://glouppe.github.io
Asst. Prof. University of Amsterdam, rock climber, husband, father. Model-based (Mathematical) Cognitive Neuroscientist. I study decision-making, EEG, 🧠, statistical methods, etc.
🇺🇦🇪🇺
Professor of Statistics and Machine Learning at UCL Statistical Science. Interested in computational statistics, machine learning and applications in the sciences & engineering.
Full Professor at @deptmathgothenburg.bsky.social | simulation-based inference | Bayes | stochastic dynamical systems | https://umbertopicchini.github.io/
Machine learner & physicist. At CuspAI, I teach machines to discover materials for carbon capture. Previously Qualcomm AI Research, NYU, Heidelberg U.
Using deep learning to study neural dynamics
@mackelab.bsky.social
Posting about the One World Approximate Bayesian Inference (ABI) Seminar, details at https://warwick.ac.uk/fac/sci/statistics/news/upcoming-seminars/abcworldseminar/
Amortized Bayesian Workflows in Python.
🎲 Post author sampled from a multinomial distribution, choices
⋅ @marvin-schmitt.com
⋅ @paulbuerkner.com
⋅ @stefanradev.bsky.social
🔗 GitHub github.com/bayesflow-org/bayesflow
💬 Forum discuss.bayesflow.org
💡 PhD candidate @ Heidelberg University.
🌱 AI for science - simulation-based inference, robust machine learning & cognitive modeling.
Assoc. Prof. of Machine & Human Intelligence | Univ. Helsinki & Finnish Centre for AI (FCAI) | Bayesian ML & probabilistic modeling | https://lacerbi.github.io/
PhD Student at MPI-IS working on ML for Gravitational Waves | #MLforPhysics #SBI
https://www.annalenakofler.com
Assistant Professor at Rensselaer Polytechnic Institute (RPI)
Bayesian | Computational guy | Name dropper | Deep learner | Book lover
Opinions are my own.
Postdoctoral Researcher at University of Basel
Interested in Cognitive Modeling | Decision Making | Dynamics in Cognition | Amortized Bayesian Inference | Superstatistics
PhD student at TU Berlin, working on generative models and inverse problems
he/him
Doctoral researcher at Aalto University
Simulation-based Inference
yugahikida.github.io
Research fellow @OxfordStats @OxCSML, spent time at FAIR and MSR
Former quant 📈 (@GoldmanSachs), former former gymnast 🤸♀️
My opinions are my own
🇧🇬-🇬🇧 sh/ssh
