Martin Schiegg

According to our database, Martin Schiegg authored at least 15 papers between 2012 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Validation of composite systems by discrepancy propagation.

David Reeb, Kanil Patel, Karim Said Barsim, Martin Schiegg, Sebastian Gerwinn

Proceedings of the Uncertainty in Artificial Intelligence, 2023

2020

Differentiable Likelihoods for Fast Inversion of 'Likelihood-Free' Dynamical Systems.

Hans Kersting, Nicholas Krämer, Martin Schiegg, Christian Daniel, Michael Tiemann, Philipp Hennig

Proceedings of the 37th International Conference on Machine Learning, 2020

Relational Generalized Few-Shot Learning.

Xiahan Shi, Leonard Salewski, Martin Schiegg, Max Welling

Proceedings of the 31st British Machine Vision Conference 2020, 2020

2019

Time series anomaly detection based on shapelet learning.

Laura Beggel, Bernhard X. Kausler, Martin Schiegg, Michael Pfeiffer, Bernd Bischl

Comput. Stat., 2019

Relational Generalized Few-Shot Learning.

Xiahan Shi, Leonard Salewski, Martin Schiegg, Zeynep Akata, Max Welling

CoRR, 2019

2018

Probabilistic Recurrent State-Space Models.

Andreas Doerr, Christian Daniel, Martin Schiegg, Duy Nguyen-Tuong, Stefan Schaal, Marc Toussaint, Sebastian Trimpe

Proceedings of the 35th International Conference on Machine Learning, 2018

2016

Learning Diverse Models: The Coulomb Structured Support Vector Machine.

Martin Schiegg, Ferran Diego, Fred A. Hamprecht

Proceedings of the Computer Vision - ECCV 2016, 2016

2015

Multi-Target Tracking with Probabilistic Graphical Models

Martin Schiegg

PhD thesis, 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

Proof-reading guidance in cell tracking by sampling from tracking-by-assignment models.

Martin Schiegg, Ben Heuer, Carsten Haubold, Steffen Wolf, Ullrich Köthe, Fred A. Hamprecht

Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015

2014

Active Structured Learning for Cell Tracking: Algorithm, Framework, and Usability.

Xinghua Lou, Martin Schiegg, Fred A. Hamprecht

IEEE Trans. Medical Imaging, 2014

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

Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

2013

Conservation Tracking.

Martin Schiegg, Philipp Hanslovsky, Bernhard X. Kausler, Lars Hufnagel, Fred A. Hamprecht

Proceedings of the IEEE International Conference on Computer Vision, 2013

2012

Markov Logic Mixtures of Gaussian Processes: Towards Machines Reading Regression Data.

Martin Schiegg, Marion Neumann, Kristian Kersting

Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, 2012

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

Proceedings of the Computer Vision - ECCV 2012, 2012