Machine learning mini-workshop

Contribution List

1. Generative Adversarial Networks

Anja Butter (University of Heidelberg)

4/15/20, 8:45 AM

Overview and Introduction

5. Bayesian Networks and Uncertainties

Michel Luchmann (University of Heidelberg)

4/15/20, 9:30 AM

Heidelberg acitivities

6. Capsules Instead of CNNs

Sascha Diefenbacher (University of Heidelberg)

4/15/20, 9:55 AM

Heidelberg acitivities

7. Autoencoders

Theo Heimel (University of Heidelberg)

4/15/20, 10:20 AM

Heidelberg acitivities

8. Neural Network-based Top Tagger withTwo-Point Energy Correlations and Geometry of Soft Emissions

Mihoko Nojiri (IPNS, KEK)

4/15/20, 11:00 AM

Invited talk

2. Casting a ParticleNet to catch dark showers

Elias Bernreuther (RWTH Aachen University)

4/15/20, 11:45 AM

Aachen activities

3. Autoencoder frustration

Thorben Finke (RWTH Aachen University)

4/15/20, 12:10 PM

Aachen activities

4. ML ideas for astroparticle physics

Silvia Manconi (RWTH Aachen University)

4/15/20, 12:35 PM

Aachen activities

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