Happy to see our topo-cluster calibration paper finally published in @scipost.bsky.social #Physics — and even better, it's the first @atlasexperiment.bsky.social paper to appear there. What a nice Christmas present!

Spending the holidays teaching my little nephews some machine-learning basics — it's not that difficult; the Bayesian neural network (BNN) loss function follows a clear statistics logic

Precision calibration of calorimeter signals in the ATLAS experiment using an uncertainty-aware neural network arxiv.org/abs/2412.04370v1 ATLAS Collaboration

This has become one of my most favorite (pre-)Christmas traditions: the annual #Glühwein workshop — this year at the Karlsruher Institut für Technologie (KIT), organized by Markus Klute (thank you!)

Welcome to the machine! After more than one year, the time has finally come: the @uniheidelberg.bsky.social non-ATLAS HEP-ML group has published its first (preprint) paper in collaboration with the @atlasexperiment.bsky.social arxiv.org/abs/2412.04370 inspirehep.net/literature/2...