most citedDistributional Gradient Matching for Learning Uncertain Neural Dynamics Models

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cs.LG2021★ 1 cited

Distributional Gradient Matching for Learning Uncertain Neural Dynamics Models

Lenart Treven, Philippe Wenk, Florian Dörfler +1

Differential equations in general and neural ODEs in particular are an essential technique in continuous-time system identification. While many deterministic learning algorithms ha…