From the 1 of 14 linked papers with an AI index.
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hep-ph2024
Optimal Equivariant Architectures from the Symmetries of Matrix-Element Likelihoods
Daniel Maître, Vishal S. Ngairangbam, Michael Spannowsky
The Matrix-Element Method (MEM) has long been a cornerstone of data analysis in high-energy physics. It leverages theoretical knowledge of parton-level processes and symmetries to…
cs.LG2024
Collective variables of neural networks: empirical time evolution and scaling laws
Samuel Tovey, Sven Krippendorf, Michael Spannowsky +2
This work presents a novel means for understanding learning dynamics and scaling relations in neural networks. We show that certain measures on the spectrum of the empirical neural…