This paper introduces the use of static information flow analysis for the specification and enforcement of end-toend availability policies in programs. We generalize the decentr...
We propose an algorithm to perform causal inference of the state of a dynamical model when the measurements are corrupted by outliers. While the optimal (maximumlikelihood) soluti...
Andrea Vedaldi, Hailin Jin, Paolo Favaro, Stefano ...
The development of High-Performance Computing (HPC) programs is crucial to progress in many fields of scientific endeavor. We have run initial studies of the productivity of HPC d...
We present here Extended Markov Tracking (EMT), a computationally tractable method for the online estimation of Markovian system dynamics, along with experimental support for its ...
Convergence is a central problem in both computer science and in population biology. Will a program terminate? Will a population go to an equilibrium? In general these questions ar...