As part of the UDRC phase III, a first themed meeting on Scalable Signal Processing with Bayesian Graphical Models will be held in Edinburgh on Wednesday, 20th February. This event is intended for academic researchers, industrial partners and Dstl staff to learn about and discuss current trends in scalable Bayesian methods.
The program will consists of a series of talks covering Bayesian sensor fusion, Bayesian networks, approximate message passing and advanced Monte Carlo sampling techniques, followed by a networking session. We will also present a Dstl Challenge competition.
9:00 – 9:30 Refreshments
9:30 – 9:40 Introductions and welcome, Yoann Altmann, Heriot-Watt University
9:40 – 10:20 Plenary talk: Convergence Rates for a Class of Monte Carlo Estimators Based on Stein's Method, Mark Girolami, Imperial College London - Abstract
10:20 – 10:50 Sensor fusion, David Cormack, Heriot-Watt University; James Hopgood, University of Edinburgh
10:50 – 11:20 Advanced MCMC, Kostas Zygalakis, Heriot-Watt University
11:20 – 11:50 Refreshments
11:50 – 12:20 Approximate message passing and expectation propagation, Yoann Altmann, Heriot-Watt University
12:20 – 12:50 Scalable opportunistic calibration of fusion networks, Murat Uney, CMRE
12:50 – 13:50 Lunch and posters
13:50 – 14:20 Scaling signal processing for industry needs, David Greig, Leonardo
14:20 – 14:40 Dstl challenges, Jordi Barr, Dstl; Gary Heald, Dstl
14:40 – 15:00 Refreshments
15:00 – 15:45 Panel discussion and questions
For more information contact email@example.com