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Found 4 papers, 2 papers with code
Wilsonian Renormalization of Neural Network Gaussian Processes
We systematically integrate out the unlearnable modes of the GP kernel, thereby obtaining an RG flow of the Gaussian Process in which the data plays the role of the energy scale.
How to GAN Higher Jet Resolution
QCD-jets at the LHC are described by simple physics principles.
Super-Resolution
High Energy Physics - Phenomenology
Learning to Identify Electrons
We investigate whether state-of-the-art classification features commonly used to distinguish electrons from jet backgrounds in collider experiments are overlooking valuable information.
Data Analysis, Statistics and Probability High Energy Physics - Experiment High Energy Physics - Phenomenology
QCD Baryogenesis
We explore a simple model which naturally explains the observed baryon asymmetry of the Universe.
High Energy Physics - Phenomenology Cosmology and Nongalactic Astrophysics High Energy Physics - Experiment
