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ResearchFormerly WizWand

Regression on Pendulum (test)

0.0034MSES5
0.0009210.0177230.0345250.051327Aug 9, 2022
Updated 8mo ago

Evaluation results

MethodLinks
S5Runtime (sec/train epoch)=0.252022.080.0034
CRURuntime (sec/train epoch)=22, implementation=our run2022.080.0039
S5-appendRuntime (sec/train epoch)=0.25, variant=ablation2022.080.0041
CRURuntime (sec/train epoch)=36*, Original Report=Schirmer et al. (2022)2022.080.0046
RKN-ΔtRuntime (sec/train epoch)=20*, Original Report=Schirmer et al. (2022)2022.080.0051
GRU-ΔtRuntime (sec/train epoch)=12*, Original Report=Schirmer et al. (2022)2022.080.0054
f-CRURuntime (sec/train epoch)=29*, Original Report=Schirmer et al. (2022)2022.080.0062
S5-dropRuntime (sec/train epoch)=0.25, variant=ablation2022.080.0067
ODE-RNNRuntime (sec/train epoch)=37*, Original Report=Schirmer et al. (2022)2022.080.0073
RKNRuntime (sec/train epoch)=20*, Original Report=Schirmer et al. (2022)2022.080.0084
GRURuntime (sec/train epoch)=12*, Original Report=Schirmer et al. (2022)2022.080.0094
GRU-ODE-BRuntime (sec/train epoch)=60*, Original Report=Schirmer et al. (2022)2022.080.0098
Latent ODERuntime (sec/train epoch)=52*, Original Report=Schirmer et al. (2022)2022.080.0157
mTANDRuntime (sec/train epoch)=3*, Original Report=Schirmer et al. (2022)2022.080.0656