SMuK 2023 –
scientific programme
AKPIK 8: AI Topical Day – Normalizing Flows and Invertible Neural Networks (joint session AKPIK/T)
Thursday, March 23, 2023, 15:45–17:15, HSZ/0004
![](/static/ip/plus.gif) |
15:45 |
AKPIK 8.1 |
Efficient Sampling from Differentiable Matrix Elements with Normalizing Flows — •Annalena Kofler, Vincent Stimper, Mikhail Mikhasenko, Michael Kagan, and Lukas Heinrich
|
|
|
![](/static/ip/plus.gif) |
16:00 |
AKPIK 8.2 |
Generating Accurate Showers in Highly Granular Calorimeters Using Normalizing Flows — •Thorsten Buss
|
|
|
![](/static/ip/plus.gif) |
16:15 |
AKPIK 8.3 |
Introspection for a normalizing-flow-based recoil calibration — •Lars Sowa, Jost von den Driesch, Roger Wolf, Markus Klute, and Günter Quast
|
|
|
|
16:30 |
AKPIK 8.4 |
The contribution has been withdrawn.
|
|
|
![](/static/ip/plus.gif) |
16:45 |
AKPIK 8.5 |
A method for inferring signal strength modifiers by conditional invertible neural networks — •Mate Zoltan Farkas, Svenja Diekmann, Niclas Eich, and Martin Erdmann
|
|
|
![](/static/ip/plus.gif) |
17:00 |
AKPIK 8.6 |
Reconstruction of SAXS Data using Invertible Neural Networks — •Erik Thiessenhusen, Melanie Rödel, Thomas Kluge, Michael Bussmann, Thomas Cowan, and Nico Hoffmann
|
|
|