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Nathan Lawrence

1 accepted papers

2020

Almost Surely Stable Deep Dynamics

NeurIPS 2020spotlight

We introduce a method for learning provably stable deep neural network based dynamic models from observed data. Specifically, we consider discrete-time stochastic dynamic models, as they are of particular interest in practical applications such as estimation and control. However, these aspects exace…