1 citations · 1 across the 2 of their papers we have counts for
2 papers
physics.data-an2024
High Level Reconstruction with Deep Learning using ILD Full Simulation
Taikan Suehara, Risako Tagami, Lai Gui +4
Deep learning can give a significant impact on physics performance of electron-positron Higgs factories such as ILC and FCCee. We are working on two topics on event reconstruction…
cs.LG2024★ 1 cited
Noise-Aware Training of Neuromorphic Dynamic Device Networks
Luca Manneschi, Ian T. Vidamour, Kilian D. Stenning +13
Physical computing has the potential to enable widespread embodied intelligence by leveraging the intrinsic dynamics of complex systems for efficient sensing, processing, and inter…