PhD student at the Max Planck for Gravitational Physics in Potsdam and University of Maryland. Working on ML for Gravitational waves and astrophysical populations. Trying to summarize that papers I read

⛵️ Research Resident @ Midjourney 🇪🇺 Member @ellis.eu 🤖 Generative NNs, Deep Learning, ProbML, Simulation Intelligence 🎓 PhD+MSc Computer Science, MSc Psychology 🏡 https://marvin-schmitt.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

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 ⋅ @marvinschmitt.bsky.social ⋅ @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/

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, Probabilistic ML 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