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47 papers · 1 filter
Extremal black holes, Holography & Coarse graining
Joan Simon
I review some of the concepts at the crossroads of gravitational thermodynamics, holography and quantum mechanics. First, the origin of gravitational thermodynamics due to coarse g…
Stochastic theory of large-scale enzyme-reaction networks: Finite copy number corrections to rate equation models
Philipp Thomas, Arthur V. Straube, Ramon Grima
Chemical reactions inside cells occur in compartment volumes in the range of atto- to femtolitres. Physiological concentrations realized in such small volumes imply low copy number…
Weakly Supervised Learning of Foreground-Background Segmentation using Masked RBMs
Nicolas Heess, Nicolas Le Roux, John Winn
We propose an extension of the Restricted Boltzmann Machine (RBM) that allows the joint shape and appearance of foreground objects in cluttered images to be modeled independently o…
Iteration Complexity of Randomized Block-Coordinate Descent Methods for Minimizing a Composite Function
Peter Richtárik, Martin Takáč
In this paper we develop a randomized block-coordinate descent method for minimizing the sum of a smooth and a simple nonsmooth block-separable convex function and prove that it ob…
HYPE with stochastic events
Luca Bortolussi, Vashti Galpin, Jane Hillston
The process algebra HYPE was recently proposed as a fine-grained modelling approach for capturing the behaviour of hybrid systems. In the original proposal, each flow or influence…
Compositional Model Repositories via Dynamic Constraint Satisfaction with Order-of-Magnitude Preferences
J. Keppens, Q. Shen
The predominant knowledge-based approach to automated model construction, compositional modelling, employs a set of models of particular functional components. Its inference mechan…