Name: Conceptual Advances in Deep Learning for Research on Universe and Matter
Start: 2022-09-12T18:00:00+02:00
End: 2022-09-16T14:00:00+02:00
Location: Hotel zur Post

Conceptual Advances in Deep Learning for Research on Universe and Matter

from Monday, September 12, 2022 (6:00 PM) to Friday, September 16, 2022 (2:00 PM)

Monday, September 12, 2022

6:00 PM Supper
Supper
6:00 PM - 7:00 PM
7:30 PM
7:30 PM - 9:15 PM
Contributions

7:30 PM Introduction

7:40 PM Keynote: Reinforcement Learning in the research field of accelerators - Andrea Santamaria Garcia (KIT)
Tuesday, September 13, 2022
9:00 AM
9:00 AM - 10:30 AM
Contributions

9:00 AM Reinforced Jet-Parton Assignment for Particle Physics Analyses - Dennis Noll (RWTH Aachen University (DE))

9:20 AM Open Neural Network Exchange Format - An Introduction - Andreas Fehlner

9:40 AM CosmicNet II: Emulating extended cosmologies with efficient and accurate neural networks - Sven Günther

10:00 AM The State of the Art of Deep-Learning-Based Event Classification and Reconstruction for IACTs - Samuel Spencer
11:00 AM
11:00 AM - 12:30 PM
Contributions

11:00 AM Keynote: Transformer - Niklas Langner (RWTH Aachen University)

12:00 PM Introduction to hackathon - Niklas Langner (RWTH Aachen University)
2:30 PM
2:30 PM - 4:00 PM
Contributions

2:30 PM Hackathon: Transformer - Niklas Langner (RWTH Aachen University)
4:30 PM
4:30 PM - 6:00 PM
Contributions

4:30 PM Hackathon: Transformer
Wednesday, September 14, 2022
9:00 AM
9:00 AM - 10:00 AM
Contributions

9:00 AM Key note: Transfer of neural network probability to analytic expressions - Tilman Plehn (University of Heidelberg)
10:00 AM
10:00 AM - 10:30 AM
Contributions

10:00 AM Introduction to hackathon on Graph Neural Networks - Niklas Langner (RWTH Aachen University)
11:00 AM
11:00 AM - 12:30 PM
Contributions

11:00 AM Hackathon: Graph Neural Networks - Niklas Langner (RWTH Aachen University)
2:00 PM
2:00 PM - 3:30 PM
Contributions

2:00 PM Bayesian neural networks for particle identification - Johannes Erdmann

2:20 PM Boosting mono-jet searches with model agnostic deep learning - Thorben Finke

2:40 PM Super-resolution of photon calorimeter images using generative adversarial networks - Florian Mausolf
4:30 PM
4:30 PM - 6:00 PM
Contributions

4:30 PM An ML approach to the classification of phase transitions in many flavor QCD - Marius Neumann (Bielefeld University)

4:50 PM A Machine Learning Approach to Searching Dark Matter Subhalos in Fermi-LAT Sources - Kathrin Nippel (RWTH Aachen University (TTK))

5:10 PM Virtual Patho-Histology at the GINIX 3D X-ray Microscope - Markus Osterhoff
Thursday, September 15, 2022
9:00 AM
9:00 AM - 10:30 AM
Contributions

9:00 AM Deep Learning-based Imaging in Radio Interferometry - Stefan Fröse

9:20 AM Information Field Theory -- Bayesian Inference for Fields - Jakob Roth

9:40 AM Interpolating Calibration Data on the Sphere with Information Field Theory - Maximilian Straub
11:00 AM
11:00 AM - 12:30 PM
Contributions

11:00 AM Keynote: Applications and Potentials of Normalising Flows - Gregor Kasieczka (University Hamburg)

12:00 PM Introduction to hackathon - Gregor Kasieczka (University Hamburg) Maximilian Straub
2:30 PM
2:30 PM - 4:00 PM
Contributions

2:30 PM Hackathon: Normalizing flows, (conditional) invertible networks - Gregor Kasieczka (University Hamburg) Maximilian Straub
4:30 PM
4:30 PM - 6:00 PM
Contributions

4:30 PM Hackathon: Normalizing flows, (conditional) invertible networks - Gregor Kasieczka (University Hamburg) Maximilian Straub
Friday, September 16, 2022
9:00 AM
9:00 AM - 10:30 AM
Contributions

9:00 AM Key note: Autoencoder - Michael Krämer (RWTH Aachen University)

10:00 AM Introduction to hackathon - Michael Krämer (RWTH Aachen University) Thorben Finke
11:00 AM
11:00 AM - 1:00 PM
Contributions

11:00 AM Hackathon: Autoencoder, anomaly search, latent space - Michael Krämer (RWTH Aachen University) Thorben Finke

12:50 PM Farewell
1:00 PM Lunch
Lunch
1:00 PM - 2:00 PM

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