Jet Energy Corrections with GNN Regression using Kubeflow at CERN
CNCF [Cloud Native Computing Foundation] via YouTube
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This presentation demonstrates a Kubeflow workflow for graph neural network-based jet energy corrections at CERN. It covers pipeline design, scaled model training, inference, and a live demonstration.
Syllabus
Introduction
About CERN
Large Hadron Collider
Machine Learning Applications
Challenges
Jet Energy Corrections
Particle Cloud
Kubeflow
Training
Inference
Live Demo
Results
Conclusion
Taught by
CNCF [Cloud Native Computing Foundation]