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2020 – today
- 2023
[c10]David Reeb, Kanil Patel, Karim Said Barsim, Martin Schiegg, Sebastian Gerwinn:
Validation of composite systems by discrepancy propagation. UAI 2023: 1730-1740- 2022
- [i3]David Reeb, Kanil Patel, Karim Said Barsim, Martin Schiegg, Sebastian Gerwinn:
Validation of Composite Systems by Discrepancy Propagation. CoRR abs/2210.12061 (2022) - 2020
- [c9]Xiahan Shi, Leonard Salewski, Martin Schiegg, Max Welling:
Relational Generalized Few-Shot Learning. BMVC 2020 - [c8]Hans Kersting, Nicholas Krämer, Martin Schiegg, Christian Daniel, Michael Tiemann, Philipp Hennig:
Differentiable Likelihoods for Fast Inversion of 'Likelihood-Free' Dynamical Systems. ICML 2020: 5198-5208 - [i2]Hans Kersting, Nicholas Krämer, Martin Schiegg, Christian Daniel, Michael Tiemann, Philipp Hennig:
Differentiable Likelihoods for Fast Inversion of 'Likelihood-Free' Dynamical Systems. CoRR abs/2002.09301 (2020)
2010 – 2019
- 2019
- [j3]Laura Beggel
, Bernhard X. Kausler, Martin Schiegg, Michael Pfeiffer, Bernd Bischl:
Time series anomaly detection based on shapelet learning. Comput. Stat. 34(3): 945-976 (2019) - [i1]Xiahan Shi, Leonard Salewski, Martin Schiegg, Zeynep Akata, Max Welling:
Relational Generalized Few-Shot Learning. CoRR abs/1907.09557 (2019) - 2018
- [c7]Andreas Doerr, Christian Daniel, Martin Schiegg, Duy Nguyen-Tuong, Stefan Schaal, Marc Toussaint, Sebastian Trimpe:
Probabilistic Recurrent State-Space Models. ICML 2018: 1279-1288 - 2016
- [c6]Martin Schiegg, Ferran Diego, Fred A. Hamprecht:
Learning Diverse Models: The Coulomb Structured Support Vector Machine. ECCV (3) 2016: 585-599 - 2015
- [b1]Martin Schiegg:
Multi-Target Tracking with Probabilistic Graphical Models. Heidelberg University, Germany, 2015 - [j2]Martin Schiegg, Philipp Hanslovsky, Carsten Haubold, Ullrich Köthe, Lars Hufnagel, Fred A. Hamprecht:
Graphical model for joint segmentation and tracking of multiple dividing cells. Bioinform. 31(6): 948-956 (2015) - [c5]Martin Schiegg, Ben Heuer, Carsten Haubold, Steffen Wolf, Ullrich Köthe, Fred A. Hamprecht:
Proof-reading guidance in cell tracking by sampling from tracking-by-assignment models. ISBI 2015: 394-398 - 2014
- [j1]Xinghua Lou, Martin Schiegg, Fred A. Hamprecht:
Active Structured Learning for Cell Tracking: Algorithm, Framework, and Usability. IEEE Trans. Medical Imaging 33(4): 849-860 (2014) - [c4]Luca Fiaschi, Ferran Diego Andilla, Konstantin Gregor, Martin Schiegg, Ullrich Köthe, Marta Zlatic, Fred A. Hamprecht:
Tracking Indistinguishable Translucent Objects over Time Using Weakly Supervised Structured Learning. CVPR 2014: 2736-2743 - 2013
- [c3]Martin Schiegg, Philipp Hanslovsky, Bernhard X. Kausler, Lars Hufnagel, Fred A. Hamprecht:
Conservation Tracking. ICCV 2013: 2928-2935 - 2012
- [c2]Bernhard X. Kausler, Martin Schiegg, Björn Andres, Martin S. Lindner, Ullrich Köthe, Heike Leitte, Jochen Wittbrodt, Lars Hufnagel, Fred A. Hamprecht:
A Discrete Chain Graph Model for 3d+t Cell Tracking with High Misdetection Robustness. ECCV (3) 2012: 144-157 - [c1]Martin Schiegg, Marion Neumann, Kristian Kersting:
Markov Logic Mixtures of Gaussian Processes: Towards Machines Reading Regression Data. AISTATS 2012: 1002-1011
Coauthor Index
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