47 citations · 219 across the 37 of their papers we have counts for
3 papers · 1 filter
Divide-and-Conquer with Sequential Monte Carlo
Fredrik Lindsten, Adam M. Johansen, Christian A. Naesseth +4
We propose a novel class of Sequential Monte Carlo (SMC) algorithms, appropriate for inference in probabilistic graphical models. This class of algorithms adopts a divide-and-conqu…
Capacity estimation of two-dimensional channels using Sequential Monte Carlo
Christian A. Naesseth, Fredrik Lindsten, Thomas B. Schön
We derive a new Sequential-Monte-Carlo-based algorithm to estimate the capacity of two-dimensional channel models. The focus is on computing the noiseless capacity of the 2-D one-i…
Sequential Monte Carlo for Graphical Models
Christian A. Naesseth, Fredrik Lindsten, Thomas B. Schön
We propose a new framework for how to use sequential Monte Carlo (SMC) algorithms for inference in probabilistic graphical models (PGM). Via a sequential decomposition of the PGM w…