Privatissimum
Time: Wednesday 02:00 p.m.
Location: room 3.28 (Zoom link in Mattermost channel)
Slides can be found in our SVN repository.
| Date | Speaker | Title |
|---|---|---|
| 04. 12. 2024 | Timo Klein | Improved hyperbolic representations for deep Reinforcement Learning |
| 20. 11. 2024 | Carolina Atria | Predicting gene regulatory interactions from single-cell data |
| 20. 11. 2024 (3:00 p.m.) | Peiyan Li | Scalable Graph Classification via Random Walk Fingerprints |
| 06. 11. 2024 | Lena Bauer | Deep Density-based Clustering with Synchronisation |
| 03. 07. 2024 Wednesday, 3:00 p.m. room 4.34 | Radek Silhavy | Software Development Effort Estimation using UML Use Case Model |
| 27. 06. 2024 | Andrea Tanzer | t.b.d. |
| 20. 06. 2024 | Yinglian-Jessica Huynh | Nowcasting including transferability |
| 06. 06. 2024 | Mengyang Liu | Optical coherence tomography and photoacoustic imaging in preclinical and clinical studies |
| 25. 04. 2024 | Lukas Miklautz | Prototyp-basiertes Repräsentationslernen mittels Deep Clustering |
| 11. 04. 2024 | Maximilian Leodolter | Rehersal for PhD defense |
| 21. 03. 2024 | Dominik Répás | Text-Guided Alternative Image Clustering |
| 21. 03. 2024 (3:00 p.m.) | Katerina Schindlerova | Statistical Compression Schemes for Causal Inference |
| 14. 03. 2024 | Stefano Melchionna | Democratization of Data Science in European Banks: A proposal for co-operation focusing on deep anomaly detection |
| 08. 01. 2024 Monday, 3:00 p.m. | Pranava Mummoju | FOP practice presentation |
| 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 |