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

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cs.LG2022★ 2 cited

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

Alan Yang, Jie Xiong, Maxim Raginsky +1

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

cs.LG2019

Model-Augmented Estimation of Conditional Mutual Information for Feature Selection

Alan Yang, AmirEmad Ghassami, Maxim Raginsky +2

Markov blanket feature selection, while theoretically optimal, is generally challenging to implement. This is due to the shortcomings of existing approaches to conditional independ…