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| Wenzel, Susanne | s.wenzel@fz-juelich.de | INM-1 Big Data Analytics Group (BDA) | Markov Marked Point Processes, rjMCMC | | | 14.02.2020 |
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Dickscheid, Timo | t.dickscheid@fz-juelich.de | INM-1 Big Data Analytics Group (BDA) | Deep Learning with ConvNets, Image Segmentation, Image Feature detection, Markov Random Fields, Clustering, Analogies to the human brain| Microscopic resolution 2D and 3D images | | | none |
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| Kraus, Jiri | jkraus@nvidia.com | NVIDIA | | | Want to learn the ML/DL needs of scientist at FZJ | none |
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|Zimmermann, Olav | olav.zimmermann@fz-juelich.de | JSC Simlab Biology | Supervised learning (SVM and its variants), Dimension Reduction (Isomap et al, clustering), Metaheuristics, basics of sequence learning methods (CRF, LSTM),
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bioinformatics | biological sequence data, molecular structure data, experimental data (2-dim to n-dim or graphs)
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unstructured data | ML for hypertoroidal output spaces in depth understanding of seq2seq methods
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representation of world knowledge for learning methods that work with non-differentiable loss | |
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|Zimmermann, Olav | olav.zimmermann@fz-juelich.de | JSC Simlab Biology | Supervised learning (SVM and its variants), Dimension Reduction (Isomap et al, clustering), Metaheuristics, basics of sequence learning methods (CRF, LSTM), bioinformatics | biological sequence data, molecular structure data, experimental data (2-dim to n-dim or graphs), unstructured data | ML for hypertoroidal output spaces in depth understanding of seq2seq methods, representation of world knowledge for learning methods that work with non-differentiable loss | |
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|Herten, Andreas | a.herten@fz-juelich.de | JSC NVIDIA Application Lab | Software installation | | Overview/support of ML/DL software in Jülich | |
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| Göbbert, Jens Henrik | j.goebbert@fz-juelich.de | JSC Cross-Sectional-Team Visualization | Basic DL with Keras | turbulent flows (3D) | Collaborations/support for enabling DL with on HPC with Jupyter | none | |
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