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| Name (Last, First) | mail | FZJ Institute/Group | Your ML expertise | Your type of data | Your needs | expire date (default 25.6.2019) |
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| Jitsev, Jenia | j.jitsev@fz-juelich.de | JSC Deep Learning Research Lab (CST-DL) | Unsupervised Learning; Reinforcement Learning; Recurrent Hierarchical Winner-Take-All Networks; Generative Models
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Biological Neural Networks; Open-end learning / Learning to learn | Images; Time Series; Virtual Environments (e.g, OpenGym) | Large scale scientific data sets (material science, high throughput genomics/proteomics, biotechnology, etc) | none |
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| Wenzel, Susanne | s.wenzel@fz-juelich.de | INM-1 | Big Data Analytics Group | 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 | 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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