Probabilistic Approaches for Computational Biology and Medicine
Orbit-Product Representation and Correction of Gaussian Belief Propagation
Message-Passing Algorithms for GMRFs and Non-Linear Optimization
Deep Learning
Graphical Models
Limited-memory quasi-Newton and Hessianfree Newton methods for non-smooth optimization
Gaussian Processes
Good Regions to Deblur
Spectral learning of linear dynamics from generalisedlinear observations with application to neural population data
Graphical Models and message-passing algorithms