notesum.ai

Published at April 22

Learning to Predict Structural Vibrations

NeurIPS

Released Date: April 22, 2024

Authors: Jan van Delden¹, Julius Schultz², Christopher Blech², Sabine C. Langer², Timo Lüddecke

Aff.: ¹Institute of Computer Science, University of Gottingen; ²Institute for Acoustics and Dynamics, Technische Universitat Braunschweig

Arxiv: https://openreview.net/pdf/758c40c301f0ebe352c423ba89f3bba34a76814d.pdf

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Baselines
			V-5000				G-5000
	$\mathbf{FQ}$	$\mathbf{VF}$	$\mathcal{E}_{\text{MSE}}$	$\mathcal{E}_{\text{EMD}}$	$\mathcal{E}_{\text{PEAKS}}$	$\mathcal{E}_{\text{F}}$	$\mathcal{E}_{\text{MSE}}$	$\mathcal{E}_{\text{EMD}}$	$\mathcal{E}_{\text{PEAKS}}$	$\mathcal{E}_{\text{F}}$
$k$ -NN	-	-	0.63	21.50	0.45	8.7	0.88	32.48	0.68	21.0
RN18 + FNO	-	-	0.42	10.76	0.34	5.6	0.28	14.12	0.21	6.1
DeepONet	$\checkmark$	-	0.49	16.91	0.48	5.4	0.44	23.05	0.57	9.9
FNO (velocity field)	-	$\checkmark$	0.47	13.10	0.36	6.3	0.49	21.16	0.39	10.7
Grid-RN18	-	-	0.44	13.29	0.36	5.4	0.30	14.95	0.26	6.5
FQO-RN18 (Q1)	$\checkmark$	-	0.32	10.70	0.17	5.3	0.24	13.51	0.13	5.1
FQO-ViT (Q2)	$\checkmark$	-	0.68	20.96	0.54	7.1	0.52	24.34	0.49	11.5
Grid-UNet	-	$\checkmark$	0.19	7.57	0.24	2.7	0.17	9.41	0.14	4.6
FQO-UNet	$\checkmark$	$\checkmark$	0.08	4.24	0.07	1.7	0.11	7.47	0.08	3.1