Thomas Gumbsch

Publication Activity (10 Years)

Years Active: 2017-2020
Publications (10 Years): 7

Top Topics

Neural Computation

Pearson Correlation

Semi Supervised Learning Setting

Top Venues

Knowl. Inf. Syst.

Publications

Xiao He, Thomas Gumbsch, Damian Roqueiro, Karsten M. Borgwardt
Kernel conditional clustering and kernel conditional semi-supervised learning. Knowl. Inf. Syst. 62 (3) (2020)
Stephanie L. Hyland, Martin Faltys, Matthias Hüser, Xinrui Lyu, Thomas Gumbsch, Cristóbal Esteban, Christian Bock, Max Horn, Michael Moor, Bastian Rieck, Marc Zimmermann, Dean A. Bodenham, Karsten M. Borgwardt, Gunnar Rätsch, Tobias M. Merz
Machine learning for early prediction of circulatory failure in the intensive care unit. CoRR (2019)
Bastian Rieck, Matteo Togninalli, Christian Bock, Michael Moor, Max Horn, Thomas Gumbsch, Karsten M. Borgwardt
Neural Persistence: A Complexity Measure for Deep Neural Networks Using Algebraic Topology. ICLR (Poster) (2019)
Christian Bock, Matteo Togninalli, M. Elisabetta Ghisu, Thomas Gumbsch, Bastian Rieck, Karsten M. Borgwardt
A Wasserstein Subsequence Kernel for Time Series. ICDM (2019)
Bastian Rieck, Matteo Togninalli, Christian Bock, Michael Moor, Max Horn, Thomas Gumbsch, Karsten M. Borgwardt
Neural Persistence: A Complexity Measure for Deep Neural Networks Using Algebraic Topology. CoRR (2018)
Christian Bock, Thomas Gumbsch, Michael Moor, Bastian Rieck, Damian Roqueiro, Karsten M. Borgwardt
Association mapping in biomedical time series via statistically significant shapelet mining. Bioinform. 34 (13) (2018)
Xiao He, Thomas Gumbsch, Damian Roqueiro, Karsten M. Borgwardt
Kernel Conditional Clustering. ICDM (2017)