8 citations · 8 across the 3 of their papers we have counts for
3 papers
hep-ph2025
Interference Effects in Resonant Standard Model di-Higgs Production and Decay into Final States: the Role of Machine Learning Analysis
A. Hammad, S. Moretti, A. P. Przybyl +1
The final state with four -quarks has generally the largest event rate in Standard Model (SM)-like Higgs () pair production, but also the largest backgrounds. We stu…
hep-ph2024
Multi-scale cross-attention transformer encoder for event classification
A. Hammad, S. Moretti, M. Nojiri
We deploy an advanced Machine Learning (ML) environment, leveraging a multi-scale cross-attention encoder for event classification, towards the identification of the $gg\to H\to hh…
hep-ph2022★ 8 cited
Search for Mono-Higgs Signals in Final States Using Deep Neural Networks
A. Hammad, S. Khalil, S. Moretti
We study mono-Higgs signatures emerging in an illustrative new physics scenario involving Standard Model Higgs boson decays to bottom quark pairs using Hybrid Deep Neural Networks.…