Name: Workshop on Machine Learning for Cosmic-Ray Air Showers
Start: 2022-01-31T17:00:00-05:00
End: 2022-02-03T17:30:00-05:00
Location: Embassy Suites by Hilton Newark Wilmington South

Air shower reconstruction using a Graph Neural Network for the IceAct telescopes (in session "Tuesday")

Composition Analysis of cosmic-rays at IceCube Observatory, using Graph Neural Networks (in session "Tuesday")

Composition of 100 TeV - 100 PeV Cosmic Rays with IceCube and IceTop using Boosted Decision Trees (in session "Tuesday")

CORSIKA 8: A modern framework for high-energy cascade simulations (in session "Wednesday")

CORSIKA and CONEX for air shower simulations (in session "Wednesday")

Cosmic ray mass composition study using a Random Forest applied to data from the IceAct telescopes (in session "Tuesday")

Cosmic rays primary energy estimation using Machine Learning and combined reconstruction (in session "Tuesday")

Crowdsourcing your training labels with Zooniverse (in session "Thursday")

Deep Learning for Air Shower Reconstruction at the Pierre Auger Observatory (in session "Wednesday")

Deep Learning for Classification and Denoising of Cosmic-Ray Radio Signals (in session "Thursday")

Deep learning in astroparticle physics (in session "Tuesday")

Energy Reconstruction with Convolutional Neural Networks in IceTop (in session "Tuesday")

Exploitation of Symmetries and Domain Knowledge in Deep Learning Architectures (in session "Tuesday")

Extraction of the Muon Signals Recorded with the Surface Detector of the Pierre Auger Observatory Using Recurrent Neural Networks (in session "Wednesday")

Good Bye (in session "Thursday")

IACT event reconstruction with deep learning: some progress, lessons learned, and outlook from CTLearn (in session "Thursday")

Improving the gamma-hadron separation for air showers at the IceCube Neutrino Observatory (in session "Thursday")

Machine Learning and Artificial Intelligence in Physics: Overview and Applications (in session "Wednesday")

Machine learning based event reconstruction in Telescope Array surface detector (in session "Wednesday")

Machine Learning for High-Energy Physics Reconstruction and Analysis (in session "Tuesday")

Machine learning in Baikal-GVD (in session "Thursday")

Measurement of the high-energy muon multiplicity in cosmic-ray air showers with IceTop and IceCube using neural networks (in session "Tuesday")

Neural Network Approaches for Event Classification Onboard EUSO-SPB2 (in session "Wednesday")

Open questions in deep learning techniques for the radio detection (in session "Thursday")

Pattern Recognition for Multiple Interactions in a Neutron Monitor (in session "Tuesday")

Photon flux calculation using Deep Learning (in session "Thursday")

Search for optimal deep neural network architecture for gamma detection at KASCADE (in session "Thursday")

State-of-art deep learning technologies and their application to air-shower reconstruction (in session "Wednesday")

Towards mass composition study with KASCADE using deep learning (in session "Thursday")

Training Neural Networks to Classify and Denoise Cosmic-Ray Radio Signals Using Background Measured at the South Pole (in session "Thursday")

What slow down cosmic ray analysis and what can we do about them? (in session "Thursday")

Workshop on Machine learning for Cosmic-Ray Air Showers - Summary & Outlook (in session "Thursday")