This work focuses on developing a data-driven framework using Koopman
op...
The ability to monitor and interpret of hardware system events and behav...
Deep neural networks are powerful predictors for a variety of tasks. How...
In this article, we outline the development of a general-purpose Python-...
We develop a deep autoencoder architecture that can be used to find a
co...
Rapid simulations of advection-dominated problems are vital for multiple...
Identifying coordinate transformations that make strongly nonlinear dyna...
We consider N-way data arrays and low-rank tensor factorizations where t...
We show that there is a largely unexplored class of functions (positive
...