3 papers · 1 filter
Uncertainty-Aware 3D Position Reconstruction in CZT Drift-Strip Detectors
Alejandro Valverde Mahou, Michał Kossakowski, Selina R. H. Owe +4
Accurate three-dimensional interaction-position reconstruction is important for CZT drift-strip detectors, but conventional methods can suffer from degraded performance in challeng…
Enriched Holomorphic Neural Networks for 2D and 3D Laplace Problems
Kalp Shah, Andrei Vlad Nicula, Mihnea Andrei Bârsan +4
Boundary-value problems for the Laplace equation develop singular behaviour near corners, edges and junctions that smooth approximators resolve poorly. We combine holomorphic neura…
Reducing Memorisation in Generative Models via Riemannian Bayesian Inference
Johanna Marie Gegenfurtner, Albert Kjøller Jacobsen, Naima Elosegui Borras +2
Modern generative models can produce realistic samples, however, balancing memorisation and generalisation remains an open problem. We approach this challenge from a Bayesian persp…