— Max-product belief propagation is a local, iterative algorithm to find the mode/MAP estimate of a probability distribution. While it has been successfully employed in a wide v...
This paper introduces a new Generalized Signal Transition Graph model for specifying complex mixed asynchronous/synchronouscircuits, as found in system-level interfaces. Our goal h...
Peter Vanbekbergen, Chantal Ykman-Couvreur, Bill L...
Inference problems in graphical models can be represented as a constrained optimization of a free energy function. It is known that when the Bethe free energy is used, the fixedpo...
In their pioneering paper [4], Gallager et al. introduced a distributed algorithm for constructing the minimum-weight spanning tree (MST), many authors have suggested ways to enhan...
An autonomous variational inference algorithm for arbitrary graphical models requires the ability to optimize variational approximations over the space of model parameters as well...