1 code implementation • 12 Dec 2022 • Daniel Frank, Decky Aspandi Latif, Michael Muehlebach, Benjamin Unger, Steffen Staab
In this work, we represent a recurrent neural network as a linear time-invariant system with nonlinear disturbances.
1 code implementation • 8 Feb 2022 • Tim Schneider, Chen Qiu, Marius Kloft, Decky Aspandi Latif, Steffen Staab, Stephan Mandt, Maja Rudolph
We develop a new method to detect anomalies within time series, which is essential in many application domains, reaching from self-driving cars, finance, and marketing to medical diagnosis and epidemiology.