Uncertainty Propagation in Deep Neural Networks Using Extended Kalman Filtering

Jessica S. Titensky, Hayden Jananthan, Jeremy Kepner

Extended Kalman Filtering (EKF) can be used to propagate and quantify input uncertainty through a Deep Neural Network (DNN) assuming mild hypotheses on the input distribution. This…