Privatissimum
Time: Thursday 02:00 p.m.
Location: room 3.28 (Zoom link in Mattermost channel)
Slides can be found in our SVN repository.
| Date | Speaker | Title |
|---|---|---|
| 14. 12. 2023 | Anna Beer | Deep Density-based Clustering |
| 30. 11. 2023 | Lukas Miklautz | Prototype-based Representation Learning with Deep Clustering |
| 23. 11. 2023 | Roger Revilla-i-Domingo | Sponge stem cells: shedding light on the evolution of multicellularity and deep sea ecology |
| 19. 10. 2023 | Timo Klein | Plasticity loss in Deep Clustering and Reinforcement Learning |
| 18. 10. 2023 Wednesday, 3.30 p.m. | Nina Hubig | t.b.d. |
| 29. 06. 2023 (3.00 p.m.) | Rainer Wöß | Visualization of spatio-temporal influences of wind related meteorogical variables in a wind turbine farm in Andau |
| 11. 05. 2023 | Johannes Lehner, Benedikt Alkin, Lukas Miklautz | Masked Autoencoders with Contrastive Learning for Clustering and Classification |
| 27. 04. 2023 | Xin Sun | Gaussian Dynamic Convolution for Efficient Single-Image Segmentation |
| 30. 03. 2023 | Alexander Pintsuk | Visualization of causal inference for wind turbine extreme events |
| 26. 01. 2023 | Kejsi Hoxhallari | Statistical validation and visualization of causal inference with extremes in wind turbine data set |
| 21. 07. 2022 | Collin Leiber | The DipEncoder: Enforcing Multimodality in Autoencoders |
| 24. 02. 2022 | Peter Dolog | Understanding and Predicting User Behavior by Data Analysis and Machine Learning |
| 20. 01. 2022 | Dominik Mautz | Exploratory Cluster Analysis with Jointly Optimized Feature Transformations |