Publications #

Self-Distilled Representation Learning for Time Series #

• Authors: Felix Pieper, Konstantin Ditschuneit, Alexandra Lindt, Johannes S Otterbach, Martin Genzel
• Venue: NeurIPS 2023 Workshop: Self-Supervised Learning - Theory and Practice

Curve Your Enthusiasm: Concurvity Regularization in Differentiable Generalized Additive Models #

• Authors: Julien Siems, Konstantin Ditschuneit, Winfried Ripken, Alma Lindborg, Maximilian Schambach, Johannes S Otterbach, Martin Genzel
• Venue: NeurIPS 2023.

NAM-CAM: Neural-Additive Models for Semi-Analytic Descriptions of CAM Simulations #

• Authors: Konstantin Ditschuneit, Adem Frenk, Markus Frings, Viktor Rudel, Stefan Dietzel, Johannes Otterbach
• Venue: Flexible Automation and Intelligent Manufacturing (2023)

Auto-Compressing Subset Pruning for Semantic Image Segmentation #

• Authors: Konstantin Ditschuneit and Johannes Otterbach
• Venue: German Conference on Pattern Recognition (2022)