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
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

» Presentation Archive