3 papers
cond-mat.dis-nn2026
Phase Transitions in Neural Networks Pruning
Diego Pesce, Yang-Hui He, Guido Caldarelli
Deep neural networks are strongly over-parameterized, often containing far more weights than required for their task. Although such redundancy can aid optimization, it leads to ine…
hep-ex2024
Machine Learning-Assisted Measurement of Lepton-Jet Azimuthal Angular Asymmetries in Deep-Inelastic Scattering at HERA
The H1 collaboration, V. Andreev, M. Arratia +141
In deep-inelastic positron-proton scattering, the lepton-jet azimuthal angular asymmetry is measured using data collected with the H1 detector at HERA. When the average transverse…
astro-ph.GA2024
The NuSTAR Local AGN Distribution Survey (NuLANDS) I: Towards a Truly Representative Column Density Distribution in the Local Universe
Peter G. Boorman, Poshak Gandhi, Johannes Buchner +33
Hard X-ray-selected samples of Active Galactic Nuclei (AGN) provide one of the cleanest views of supermassive black hole accretion, but are biased against objects obscured by Compt…