4 papers
Neural Code Translation of Legacy Code: APL to C#
Abdulrahman Ramadan, Hanen Borchani, Iben Lilholm +2
Automatic translation between programming languages remains a challenging problem, particularly when the source language is highly concise and specialized. This paper investigates…
Physics-Informed Tracking (PIT)
Emil Hovad, Allan Peter Engsig-Karup
We propose Physics-Informed Tracking (PIT), a video-based framework for tracking a single particle from video, where a neural network autoencoder localizes a particle as a heatmap…
Surface impedance inference via neural fields and sparse acoustic data obtained by a compact array
Yuanxin Xia, Xinyan Li, Matteo Calafà +2
Standardized laboratory characterizations for absorbing materials rely on idealized sound field assumptions, which deviate largely from real-life conditions. Consequently, \emph{in…
A holomorphic Kolmogorov-Arnold network framework for solving elliptic problems on arbitrary 2D domains
Matteo CalafÃ, Tito Andriollo, Allan P. Engsig-Karup +1
Physics-informed holomorphic neural networks (PIHNNs) have recently emerged as efficient surrogate models for solving differential problems. By embedding the underlying problem str…