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cs.LG2026
Physics-informed neural operators for the in situ characterization of locally reacting sound absorbers
Jonas M. Schmid, Johannes D. Schmid, Martin Eser +1
Accurate knowledge of acoustic surface admittance or impedance is essential for reliable wave-based simulations, yet its in situ estimation remains challenging due to noise, model…
cs.LG2020★ 7 cited
Examining the Benefits of Capsule Neural Networks
Arjun Punjabi, Jonas Schmid, Aggelos K. Katsaggelos
Capsule networks are a recently developed class of neural networks that potentially address some of the deficiencies with traditional convolutional neural networks. By replacing th…