Many probabilistic models introduce strong dependencies between variables using a latent multivariate Gaussian distribution or a Gaussian process. We present a new Markov chain Mo...
Iain Murray, Ryan Prescott Adams, David J. C. MacK...
Power allocation is studied for fixed-rate transmission over block-fading channels with arbitrary continuous fading distributions and perfect transmitter and receiver channel state...
Khoa D. Nguyen, Albert Guillen i Fabregas, Lars K....
Estimating divergence between two point processes, i.e. probability laws on the space of spike trains, is an essential tool in many computational neuroscience applications, such a...
In practice, it is quite difficult to write correct multithreaded programs due to the potential for unintended and nondeterministic interference between parallel threads. A funda...
Background: With next-generation sequencing technologies, experiments that were considered prohibitive only a few years ago are now possible. However, while these technologies hav...
Osvaldo Zagordi, Arnab Bhattacharya, Nicholas Erik...