2 papers
eess.SY2019
Physics-Informed Deep Neural Network Method for Limited Observability State Estimation
Jonatan Ostrometzky, Konstantin Berestizshevsky, Andrey Bernstein +1
The precise knowledge regarding the state of the power grid is important in order to ensure optimal and reliable grid operation. Specifically, knowing the state of the distribution…
cs.LG2018
Dynamically Sacrificing Accuracy for Reduced Computation: Cascaded Inference Based on Softmax Confidence
Konstantin Berestizshevsky, Guy Even
We study the tradeoff between computational effort and classification accuracy in a cascade of deep neural networks. During inference, the user sets the acceptable accuracy degrada…