2 papers
hep-ph2026
IAFormer: Interaction-Aware Transformer network for collider data analysis
W. Esmail, A. Hammad, M. Nojiri
In this paper, we introduce \texttt{IAFormer}, a novel Transformer-based architecture that efficiently integrates pairwise particle interactions through a dynamic sparse attention…
hep-ph2026
CoLLM: AI engineering toolbox for end-to-end deep learning in collider analyses
W. Esmail, A. Hammad, M. Nojiri
Recent improvements in large language models have opened new opportunities for accelerating and automating scientific workflows. In parallel, modern collider analyses are becoming…