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

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