Conceptual Advances in Deep Learning for Research on Universe and Matter

Session

Participant Contributions

Sep 13, 2022, 9:00 AM

Hotel zur Post

18. Reinforced Jet-Parton Assignment for Particle Physics Analyses

Dennis Noll (RWTH Aachen University (DE))

9/13/22, 9:00 AM

19. Open Neural Network Exchange Format - An Introduction

Dr Andreas Fehlner

9/13/22, 9:20 AM

20. CosmicNet II: Emulating extended cosmologies with efficient and accurate neural networks

Sven Günther

9/13/22, 9:40 AM

21. The State of the Art of Deep-Learning-Based Event Classification and Reconstruction for IACTs

Dr Samuel Spencer

9/13/22, 10:00 AM

22. Bayesian neural networks for particle identification

Prof. Johannes Erdmann

9/14/22, 2:00 PM

24. Boosting mono-jet searches with model agnostic deep learning

Thorben Finke

9/14/22, 2:20 PM

29. Super-resolution of photon calorimeter images using generative adversarial networks

Florian Mausolf

9/14/22, 2:40 PM

25. An ML approach to the classification of phase transitions in many flavor QCD

Marius Neumann (Bielefeld University)

9/14/22, 4:30 PM

26. A Machine Learning Approach to Searching Dark Matter Subhalos in Fermi-LAT Sources

Kathrin Nippel (RWTH Aachen University (TTK))

9/14/22, 4:50 PM

27. Virtual Patho-Histology at the GINIX 3D X-ray Microscope

Dr Markus Osterhoff

9/14/22, 5:10 PM

28. Deep Learning-based Imaging in Radio Interferometry

Stefan Fröse

9/15/22, 9:00 AM

30. Information Field Theory -- Bayesian Inference for Fields

Jakob Roth

9/15/22, 9:20 AM

31. Interpolating Calibration Data on the Sphere with Information Field Theory

Mr Maximilian Straub

9/15/22, 9:40 AM

23. Lambda hyperon identification with deep learning

Waleed Esmail