Input-to-State Stable Neural Ordinary Differential Equations with Applications to Transient Modeling of Circuits

no code implementations • 14 Feb 2022 • Alan Yang, Jie Xiong, Maxim Raginsky, Elyse Rosenbaum

This paper proposes a class of neural ordinary differential equations parametrized by provably input-to-state stable continuous-time recurrent neural networks.

Model-Augmented Estimation of Conditional Mutual Information for Feature Selection

1 code implementation • 12 Nov 2019 • Alan Yang, AmirEmad Ghassami, Maxim Raginsky, Negar Kiyavash, Elyse Rosenbaum

In the second step, CI testing is performed by applying the $k$-NN conditional mutual information estimator to the learned feature maps.

feature selection