Great insights about multi-source uncertainty based on a recent preprint by my wonderful colleague Cornelia Gruber 🔥 read for a truly holistic story, made in Statistics, that starts with the data arxiv.org/pdf/2305.16703

📢The 2023 Best Paper Award for the Research Track goes to "Towards Efficient MCMC Sampling in Bayesian Neural Networks by Exploiting Symmetry" by Jonas Gregor Wiese, Lisa Wimmer, Theodore Papamarkou, Bernd Bischl, Stephan Günnemann, David Rügamer 🥳 congrats to the authors!