|
|
|
09:00
|
Participant Contributions
(until 10:30)
()
|
|
09:00
|
Reinforced Jet-Parton Assignment for Particle Physics Analyses
-
Dennis Noll
(RWTH Aachen University (DE))
()
|
|
09:20
|
Open Neural Network Exchange Format - An Introduction
- Dr.
Andreas Fehlner
()
|
|
09:40
|
CosmicNet II: Emulating extended cosmologies with efficient and accurate neural networks
-
Sven Günther
()
|
|
10:00
|
The State of the Art of Deep-Learning-Based Event Classification and Reconstruction for IACTs
- Dr.
Samuel Spencer
()
|
|
11:00
|
Transformer
(until 12:30)
()
|
|
11:00
|
Keynote: Transformer
-
Niklas Langner
(RWTH Aachen University)
()
|
|
12:00
|
Introduction to hackathon
-
Niklas Langner
(RWTH Aachen University)
()
|
|
|
09:00
|
Analytic Expressions
(until 10:00)
()
|
|
09:00
|
Key note: Transfer of neural network probability to analytic expressions
-
Tilman Plehn
(University of Heidelberg)
()
|
|
10:00
|
Graph Neural Networks
(until 10:30)
()
|
|
10:00
|
Introduction to hackathon on Graph Neural Networks
-
Niklas Langner
(RWTH Aachen University)
()
|
|
11:00
|
Graph Neural Networks
(until 12:30)
()
|
|
11:00
|
Hackathon: Graph Neural Networks
-
Niklas Langner
(RWTH Aachen University)
()
|
|
|
09:00
|
Participant Contributions
(until 10:30)
()
|
|
09:00
|
Deep Learning-based Imaging in Radio Interferometry
-
Stefan Fröse
()
|
|
09:20
|
Information Field Theory -- Bayesian Inference for Fields
-
Jakob Roth
()
|
|
09:40
|
Interpolating Calibration Data on the Sphere with Information Field Theory
- Mr.
Maximilian Straub
()
|
|
11:00
|
Normalizing Flows
(until 12:30)
()
|
|
11:00
|
Keynote: Applications and Potentials of Normalising Flows
-
Gregor Kasieczka
(University Hamburg)
()
|
|
12:00
|
Introduction to hackathon
-
Gregor Kasieczka
(University Hamburg) Mr.
Maximilian Straub
()
|
|
|
09:00
|
Autoencoder
(until 10:30)
()
|
|
09:00
|
Key note: Autoencoder
-
Michael Krämer
(RWTH Aachen University)
()
|
|
10:00
|
Introduction to hackathon
-
Michael Krämer
(RWTH Aachen University)
Thorben Finke
()
|
|
11:00
|
Autoencoder
(until 13:00)
()
|
|
11:00
|
Hackathon: Autoencoder, anomaly search, latent space
-
Michael Krämer
(RWTH Aachen University)
Thorben Finke
()
|
|
12:50
|
Farewell
()
|
|
|
18:00
|
--- Supper ---
|
|
19:30
|
Reinforcement Learning
(until 21:15)
()
|
|
19:30
|
Introduction
()
|
|
19:40
|
Keynote: Reinforcement Learning in the research field of accelerators
- Dr.
Andrea Santamaria Garcia
(KIT)
()
|
|
|
14:30
|
Transformer
(until 16:00)
()
|
|
14:30
|
Hackathon: Transformer
-
Niklas Langner
(RWTH Aachen University)
()
|
|
16:30
|
Transformer
(until 18:00)
()
|
|
16:30
|
Hackathon: Transformer
()
|
|
|
14:00
|
Participant Contributions
(until 15:30)
()
|
|
14:00
|
Bayesian neural networks for particle identification
- Prof.
Johannes Erdmann
()
|
|
14:20
|
Boosting mono-jet searches with model agnostic deep learning
-
Thorben Finke
()
|
|
14:40
|
Super-resolution of photon calorimeter images using generative adversarial networks
-
Florian Mausolf
()
|
|
16:30
|
Participant Contributions
(until 18:00)
()
|
|
16:30
|
An ML approach to the classification of phase transitions in many flavor QCD
-
Marius Neumann
(Bielefeld University)
()
|
|
16:50
|
A Machine Learning Approach to Searching Dark Matter Subhalos in Fermi-LAT Sources
-
Kathrin Nippel
(RWTH Aachen University (TTK))
()
|
|
17:10
|
Virtual Patho-Histology at the GINIX 3D X-ray Microscope
- Dr.
Markus Osterhoff
()
|
|
|
14:30
|
Normalizing Flows
(until 16:00)
()
|
|
14:30
|
Hackathon: Normalizing flows, (conditional) invertible networks
- Mr.
Maximilian Straub
Gregor Kasieczka
(University Hamburg)
()
|
|
16:30
|
Normalizing Flows
(until 18:00)
()
|
|
16:30
|
Hackathon: Normalizing flows, (conditional) invertible networks
- Mr.
Maximilian Straub
Gregor Kasieczka
(University Hamburg)
()
|
|
|
