A comparison of contact distribution representations for learning to predict object interactions. - Simon Leischnig; Stefan Luettgen; Oliver Kroemer; Jan Peters 001 (Humanoids, 2015)

A kernel-based approach to learning contact distributions for robot manipulation tasks. - Oliver Kroemer; Simon Leischnig; Stefan Luettgen; Jan Peters 001 (Auton. Robots, 2018)

Analyzing business process anomalies using autoencoders. - Timo Nolle; Stefan Luettgen; Alexander Seeliger; Max Mühlhäuser (Mach. Learn., 2018)

Case2vec: Advances in Representation Learning for Business Processes. - Stefan Luettgen; Alexander Seeliger; Timo Nolle; Max Mühlhäuser (ICPM Workshops, 2020)

Learning of Process Representations Using Recurrent Neural Networks. - Alexander Seeliger; Stefan Luettgen; Timo Nolle; Max Mühlhäuser (CAiSE, 2021)

BINet: Multi-perspective business process anomaly classification. - Timo Nolle; Stefan Luettgen; Alexander Seeliger; Max Mühlhäuser (Inf. Syst., 2022)