Uncertainty Quantification and Computational Imaging Workshop

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Uncertainty Quantification and Computational Imaging Workshop

 23 Apr 2018

ICMS, 15 South College Street Edinburgh
This workshop focused on sampling and simulation challenges. In particular, it brought together experts from the area of Markov Chain Monte Carlo and from computational imaging.

Scientific Organisers:

  • Michela Ottobre, Heriot-Watt University
  • Marcelo Pereyra, Heriot-Watt University
  • Aretha Teckentrup, University of Edinburgh
  • Kostas Zygalakis, University of Edinburgh

Speakers

  • Yoann Altmann, Heriot-Watt University - Bayesian Cluster Analysis for Atom Probe Tomography

  • Abderrahim Halimi, Heriot-Watt University - Single-Photon 3D Lidar Imaging Under Extreme Conditions

  • Ahmed Karam - Bacteria Detection in FCFM Using a Bayesian Approach

  • Anthony Kennedy, University of Edinburgh - HMC on Symmetric Spaces

  • Jason McEwen, University College London - Uncertainty Quantification for Radio Interferometric Imaging

  • Omiros Papaspiliopoulos, Universitat Pompeu Fabra - Gradient-Based Samplers

  • Marcelo Pereyra, Heriot-Watt University - Bayesian Statistical Inference in Computational Imaging

  • Julian Tachella, University of Edinburgh - Bayesian Restoration of High-Dimensional Single-Photon Images

  • Aretha Teckentrup, University of Edinburgh - Sampling Methods for Uncertainty Quantification