Machine learning in online/offline calibration and reconstruction at the LHC

These proceedings report on the status and use of machine learning algorithms and especially neural networks in online and offline reconstruction and calibration for the four major experiments at CERN. The paper provides an overview and specific examples, ranging from raw data readout to final offline calibrations.