Molecular dynamics (MD) simulation involves solving Newton’s equations of motion for a system of atoms, by calculating forces and updating atomic positions and velocities over a...
Trevor M. Cickovski, Santanu Chatterjee, Jacob Wen...
Bayesian estimation in nonlinear stochastic dynamical systems has been addressed for a long time. Among other solutions, Particle Filtering (PF) algorithms propagate in time a Mon...
Reasoning with both probabilistic and deterministic dependencies is important for many real-world problems, and in particular for the emerging field of statistical relational lear...
In this paper we present a novel learning based method for restoring and recognizing images of digits that have been blurred using an unknown kernel. The novelty of our work is an...
Mithun Das Gupta, ShyamSundar Rajaram, Nemanja Pet...
We consider real-time multi-agent coordination in a dynamic and uncertain domain addressing both distributed state information and partial knowledge of the common reward function....
Rajiv T. Maheswaran, Craig Milo Rogers, Romeo Sanc...