A Discrete Chain Graph Model for 3d+t Cell Tracking with High Misdetection Robustness. - Bernhard X. Kausler; Martin Schiegg; Björn Andres; Martin S. Lindner; Ullrich Köthe; Heike Leitte; Jochen Wittbrodt; Lars Hufnagel; Fred A. Hamprecht (ECCV (3), 2012)

Markov Logic Mixtures of Gaussian Processes: Towards Machines Reading Regression Data. - Martin Schiegg; Marion Neumann; Kristian Kersting (AISTATS, 2012)

Conservation Tracking. - Martin Schiegg; Philipp Hanslovsky; Bernhard X. Kausler; Lars Hufnagel; Fred A. Hamprecht (ICCV, 2013)

Tracking Indistinguishable Translucent Objects over Time Using Weakly Supervised Structured Learning. - Luca Fiaschi; Ferran Diego Andilla; Konstantin Gregor; Martin Schiegg; Ullrich Köthe; Marta Zlatic; Fred A. Hamprecht (CVPR, 2014)

Active Structured Learning for Cell Tracking: Algorithm, Framework, and Usability. - Xinghua Lou; Martin Schiegg; Fred A. Hamprecht (IEEE Trans. Medical Imaging, 2014)

Proof-reading guidance in cell tracking by sampling from tracking-by-assignment models. - Martin Schiegg; Ben Heuer; Carsten Haubold; Steffen Wolf 001; Ullrich Köthe; Fred A. Hamprecht (ISBI, 2015)

Graphical model for joint segmentation and tracking of multiple dividing cells. - Martin Schiegg; Philipp Hanslovsky; Carsten Haubold; Ullrich Köthe; Lars Hufnagel; Fred A. Hamprecht (Bioinform., 2015)

Multi-Target Tracking with Probabilistic Graphical Models - Martin Schiegg (2015)

Learning Diverse Models: The Coulomb Structured Support Vector Machine. - Martin Schiegg; Ferran Diego; Fred A. Hamprecht (ECCV (3), 2016)

Probabilistic Recurrent State-Space Models. - Andreas Doerr; Christian Daniel; Martin Schiegg; Duy Nguyen-Tuong; Stefan Schaal; Marc Toussaint; Sebastian Trimpe (ICML, 2018)

Relational Generalized Few-Shot Learning. - Xiahan Shi; Leonard Salewski; Martin Schiegg; Zeynep Akata; Max Welling (CoRR, 2019)

Time series anomaly detection based on shapelet learning. - Laura Beggel; Bernhard X. Kausler; Martin Schiegg; Michael Pfeiffer 001; Bernd Bischl (Comput. Stat., 2019)

Relational Generalized Few-Shot Learning. - Xiahan Shi; Leonard Salewski; Martin Schiegg; Max Welling (BMVC, 2020)

Differentiable Likelihoods for Fast Inversion of 'Likelihood-Free' Dynamical Systems. - Hans Kersting; Nicholas Krämer; Martin Schiegg; Christian Daniel; Michael Tiemann 001; Philipp Hennig (ICML, 2020)

Validation of composite systems by discrepancy propagation. - David Reeb; Kanil Patel; Karim Said Barsim; Martin Schiegg; Sebastian Gerwinn (UAI, 2023)