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TrajectoryNet: A Dynamic Optimal Transport Network for Modeling Cellular Dynamics

ICML 2020 · Probabilistic and scientific modeling › Dynamical systems · approach: Stochastic population dynamics · 44 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
Add velocity regularization (ablation)TrajectoryNet Base · Arch artificial dataEMD: 0.691 -> 0.243Helped
Add velocity regularization (ablation)TrajectoryNet Base · Tree artificial dataEMD: 0.490 -> 0.143Helped
Add velocity regularization (ablation)TrajectoryNet Base · Cycle artificial dataMSE: 0.190 -> 0.068Helped
Add density regularization (ablation)TrajectoryNet Base · Mouse cortexEMD: 0.897 ± 0.06 -> 0.888 ± 0.03No clear effect
Add velocity regularization (ablation)TrajectoryNet Base · Mouse cortexEMD: 0.897 ± 0.06 -> 0.899 ± 0.10No clear effect
Add density and velocity regularization (ablation)TrajectoryNet Base · Mouse cortexEMD: 0.897 ± 0.06 -> 0.859 ± 0.07Helped
Add density regularization (ablation)TrajectoryNet Base · Embryoid bodyEMD: 0.813 -> 0.784Helped
Add velocity regularization (ablation)TrajectoryNet Base · Embryoid bodyEMD: 0.813 -> 0.840Hurt
Add energy regularization (ablation)TrajectoryNet Base · Embryoid bodyEMD: 0.764 -> 0.737; 0.811 -> 0.896; 0.863 -> 0.842Mixed
Add growth regularization (ablation)TrajectoryNet Base · Embryoid bodyEMD: 0.764 -> 0.700; 0.811 -> 0.913; 0.863 -> 0.829Mixed
Add density regularization to Base + V (ablation)TrajectoryNet Base · Arch artificial dataEMD: 0.243 -> 0.415Hurt

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