With recent high-throughput technology we can synthesize large heterogen...
Gaussian processes (GPs) enable principled computation of model uncertai...
Motivation: Stochastic reaction networks are a widespread model to descr...
Kaemika is an app available on the four major app stores. It provides
de...
Almost two centuries ago Pierre-Joseph Proudhon proposed social contract...
Gaussian Processes (GPs) are widely employed in control and learning bec...
Deep neural network controllers for autonomous driving have recently
ben...
We consider Bayesian classification with Gaussian processes (GPs) and de...
We introduce a probabilistic robustness measure for Bayesian Neural Netw...
Bayesian inference and Gaussian processes are widely used in application...
We consider probabilistic model checking for continuous-time Markov chai...
Both experimental and computational biology is becoming increasingly
aut...