2 papers
math.DS2022
Metric entropy of causal, discrete-time LTI systems
Clemens Hutter, Thomas Allard, Helmut Bölcskei
In [1] it is shown that recurrent neural networks (RNNs) can learn - in a metric entropy optimal manner - discrete time, linear time-invariant (LTI) systems. This is effected by co…
q-bio.QM2020
Knowledge transfer across cell lines using Hybrid Gaussian Process models with entity embedding vectors
Clemens Hutter, Moritz von Stosch, Mariano Nicolas Cruz Bournazou +1
To date, a large number of experiments are performed to develop a biochemical process. The generated data is used only once, to take decisions for development. Could we exploit dat…