most citedFine-tuning machine-learned particle-flow reconstruction for new detector geometries in future colliders

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physics.ins-det2026

Detector-aware target definitions for full-event particle reconstruction

Katharina Schäuble, Alessandro Brusamolino, Dolores Garcia +1

Hit-level ML-based particle reconstruction methods have recently shown promising results. However, the reconstruction models are currently provided with targets that are unaware of…

physics.ins-det2026

Machine Learning on Heterogeneous, Edge, and Quantum Hardware for Particle Physics (ML-HEQUPP)

Julia Gonski, Jenni Ott, Shiva Abbaszadeh +117

The next generation of particle physics experiments will face a new era of challenges in data acquisition, due to unprecedented data rates and volumes along with extreme environmen…