|
|
| Name (Last, First) | mail | FZJ Institute/Group | Your ML expertise | Your type of data | Your needs | expire date (default 25.6.2019) |
|
|
|
---------------------|------|---------------------|-------------------|-------------------|------------|----------------------------------|
|
|
|
|:---|:---|:---|:---|:---|:---|---:|
|
|
|
| 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, 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 |
|
|
|
| Wenzel, Susanne | s.wenzel@fz-juelich.de | INM-1 Big Data Analytics Group (BDA) | Markov Marked Point Processes, rjMCMC | | | 14.02.2020 |
|
|
|
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 |
|
... | ... | |