312 citations · 649 across the 29 of their papers we have counts for
5 papers · 1 filter
Accurate, fully-automated NMR spectral profiling for metabolomics
Siamak Ravanbakhsh, Philip Liu, Trent Bjorndahl +9
Many diseases cause significant changes to the concentrations of small molecules (aka metabolites) that appear in a person's biofluids, which means such diseases can often be readi…
Revisiting Algebra and Complexity of Inference in Graphical Models
Siamak Ravanbakhsh, Russell Greiner
This paper studies the form and complexity of inference in graphical models using the abstraction offered by algebraic structures. In particular, we broadly formalize inference pro…
Augmentative Message Passing for Traveling Salesman Problem and Graph Partitioning
Siamak Ravanbakhsh, Reihaneh Rabbany, Russell Greiner
The cutting plane method is an augmentative constrained optimization procedure that is often used with continuous-domain optimization techniques such as linear and convex programs.…
Training Restricted Boltzmann Machine by Perturbation
Siamak Ravanbakhsh, Russell Greiner, Brendan Frey
A new approach to maximum likelihood learning of discrete graphical models and RBM in particular is introduced. Our method, Perturb and Descend (PD) is inspired by two ideas (I) pe…
Perturbed Message Passing for Constraint Satisfaction Problems
Siamak Ravanbakhsh, Russell Greiner
We introduce an efficient message passing scheme for solving Constraint Satisfaction Problems (CSPs), which uses stochastic perturbation of Belief Propagation (BP) and Survey Propa…