2 citations · 2 across the 1 of their papers we have counts for
2 papers
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…