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Nico S. Gorbach
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2010 – 2019
- 2019
- [c6]Philippe Wenk, Alkis Gotovos, Stefan Bauer, Nico S. Gorbach, Andreas Krause, Joachim M. Buhmann:
Fast Gaussian process based gradient matching for parameter identification in systems of nonlinear ODEs. AISTATS 2019: 1351-1360 - 2018
- [j2]Nico S. Gorbach, Marc Tittgemeyer, Joachim M. Buhmann:
Pipeline validation for connectivity-based cortex parcellation. NeuroImage 181: 219-234 (2018) - [i1]Philippe Wenk, Alkis Gotovos, Stefan Bauer, Nico S. Gorbach, Andreas Krause, Joachim M. Buhmann:
Fast Gaussian Process Based Gradient Matching for Parameter Identification in Systems of Nonlinear ODEs. CoRR abs/1804.04378 (2018) - 2017
- [c5]Nico S. Gorbach, Andrew An Bian, Benjamin Fischer, Stefan Bauer, Joachim M. Buhmann:
Model Selection for Gaussian Process Regression. GCPR 2017: 306-318 - [c4]Nico S. Gorbach, Stefan Bauer, Joachim M. Buhmann:
Scalable Variational Inference for Dynamical Systems. NIPS 2017: 4806-4815 - [c3]Stefan Bauer, Nico S. Gorbach, Ðorðe Miladinovic, Joachim M. Buhmann:
Efficient and Flexible Inference for Stochastic Systems. NIPS 2017: 6988-6998 - 2011
- [j1]Nico S. Gorbach, Christoph Schütte, Corina Melzer, Mathias Goldau, Olivia Sujazow, Jenia Jitsev, Tania S. Douglas, Marc Tittgemeyer:
Hierarchical Information-Based Clustering for Connectivity-Based Cortex Parcellation. Frontiers Neuroinformatics 5: 18 (2011) - [c2]Mathias Goldau, Alexander Wiebel, Nico S. Gorbach, Corina Melzer, Mario Hlawitschka, Gerik Scheuermann, Marc Tittgemeyer:
Fiber stippling: An illustrative rendering for probabilistic diffusion tractography. BioVis 2011: 23-30 - [c1]Nico S. Gorbach, Silvan Siep, Jenia Jitsev, Corina Melzer, Marc Tittgemeyer:
Information-Theoretic Connectivity-Based Cortex Parcellation. MLINI 2011: 186-193
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