11th Dresden Probabilistic Workshop
Program
October 10 & 11, 2019Thursday, October 10, 2019
Time | Presentation | Lecture |
---|---|---|
11:00 - 13:00 |
Registration, Zeuner Bau, Room 255 | |
12:00 - 13:00 |
Lunch break | |
13:00 - 13:15 |
Welcome; R. Mailach; Technische Universität Dresden | |
13:15 - 13:45 |
„Data-intensive High Performance Computing at TU Dresden: Combining Computer Science Research with Support for Computational Sciences“ A. Knüpfer Technische Universität Dresden |
|
13:45 - 14:15 |
„Deep Gaussian Covariance Network - Machine Learning based on Probabilistic Intelligence“ K. Cremanns, D. Roos Niederrhein University of Applied Sciences |
|
14:15 - 14:45 |
„Bayesian Robust Design Optimization using Deep Gaussian Covariance Network“ C. Bogoclu, D. Roos Niederrhein University of Applied Sciences |
|
14:45 - 15:00 |
Coffee break | |
15:00 - 15:30 |
„Mixed aleatoric-epistemic uncertainty quantification for jet engine applications“ G. Antinori MTU Aero Engines AG |
|
15:30 - 16:00 |
„Meta-model-based Quality Assessment of Sample Estimates“ A. Prots Technische Universität Dresden |
|
16:00 - 16:30 |
„Spectre-UQ: A Computational Environment for Managing Total Uncertainty Quantification of CFD Studies“ E. P. N. Duque Intelligent Light |
|
19:00 | Feldschlößchen Stammhaus |