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STEER : Simple Temporal Regularization For Neural ODE

NeurIPS 2020 · Time series › Causal and generative time series · approach: Neural differential equations · 14 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
Add STEER ($b=0.5$) to FFJORD RNODEFFJORD RNODE · MNIST density estimationtime: 24.37 -> 16.32Helped
Add STEER ($b=0.5$) to FFJORD RNODEFFJORD RNODE · CIFAR-10 density estimationtime: 31.84 -> 22.24Helped
Add STEER ($b=0.5$) to FFJORD RNODEFFJORD RNODE · MNIST density estimationbits/dim: 0.973 -> 0.971Helped
Add STEER to Latent ODE with ODE encoderLatent ODE (ODE enc) · Human Activityper-time-point classification accuracy: 0.846 ± 0.013 -> 0.880 ± 0.011Helped
Add STEER to ODE-RNNODE-RNN · PhysionetAUC: 0.833 ± 0.009 -> 0.811 ± 0.007Hurt
Add STEER to Latent ODE with ODE encoderLatent ODE (ODE enc) · MuJoCo interpolation, 10 % observed pointsMSE (× 10⁻²): 0.360 -> 0.230Helped
Add STEER to NODENODE · MNIST classificationtest accuracy: 97.2% ± 0.2 -> 98.3% ± 0.3Helped
Add STEER to ANODEANODE · CIFAR-10 classificationtest accuracy: 60.6% ± 0.4 -> 62.1% ± 0.2Helped
Add STEER ($b=0.124$)Neural ODE · Stiff ODE, test interval [0,25]MSE: 3.87 -> 0.52Helped
Increase STEER interval parameter to $b=0.5$ while setting $t_1+b=t_1^{original}$ (ablation)FFJORD RNODE · MNIST density estimationtime: 22.32 -> 16.32Helped
Set $t_1=t_1^{original}$ rather than $t_1+b=t_1^{original}$ (ablation)FFJORD RNODE + STEER ($b=0.5$) · MNIST density estimationtime: 16.32 -> 25.81Hurt
Replace uniform end-time sampling with Gaussian sampling (ablation)STEER on stiff ODE · Stiff ODEMSEMixed

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