1 citations · 3 across the 3 of their papers we have counts for
3 papers
physics.optics2026★ 1 cited
Anisotropic photonic time interfaces via isotropic spacetime modulations
Andrew M. Naylor, Victor Pacheco-Peña
The engineering of the optical properties of materials in space and time is opening further directions and possibilities to control wave propagation in four dimensions (x,y,z,t). A…
physics.comp-ph2024★ 1 cited
Graph Neural Network-based Tracking as a Service
Haoran Zhao, Andrew Naylor, Shih-Chieh Hsu +8
Recent studies have shown promising results for track finding in dense environments using Graph Neural Network (GNN)-based algorithms. However, GNN-based track finding is computati…
hep-ex2023★ 1 cited
Applications of Deep Learning to physics workflows
Manan Agarwal, Jay Alameda, Jeroen Audenaert +65
Modern large-scale physics experiments create datasets with sizes and streaming rates that can exceed those from industry leaders such as Google Cloud and Netflix. Fully processing…