Speakers

• Frank Critchley and Paul Marriott, Open University & University of Waterloo - Information Geometry and Its Applications: An Overview

• Frank Nielsen, École Polytechnique & Sony Computer Science Laboratories - Introduction to Computational Information Geometry and Its Applications

• Shinto Eguchi, Institute of Statistical Mathematics - Spontaneous Learning for Data Distributions via Minimum Divergence

• Frederic Barbaresco, Thales Land and Air Systems - Koszul/Souriau Models of Information Geometry: Applications to Radar Processing, Current State and Future

• Alvina Goh, National University of Singapore - Applications to Medical Imaging, Current State and Future Needs

• Shun-ichi Amari, RIKEN Brain Science Institute - Applications in Cognition and Learning: Current State and Future Needs

• Nihat Ay, Max Planck Institute for Mathematics in the Sciences - Information-Geometric structures in Cognitive Systems Research

• Kit Dodson, Manchester University - Information Distance Estimation Between Mixtures of Multivariate Gaussian

• Germain Van Bever, Open University - Computational Information Geometry for Mixture Models

• Christophe Saint-Jean, La Rochelle University - Online Mixture Modelling               

• Nigel Newton, University of Essex - An Information Geometric Representation for Nonlinear Filters

• Giovanni Pistone, Collegio Carlo Alberto - Information Geometry via the Statistical Bundle With an Example

• Hiroshi Matsuzoe, Nagoya Institute of Technology - Geometry of Anomalous Statistics and Its Application to Computational Anatomy  

• Olivier Schwander, LIP6, UPMC) - Comix: Joint Estimation of Mixture Models     

• Grant Mair, University of Edinburgh - Medical imaging of the brain

• Gabriel Peyré, Université Paris-Dauphine - Entropic Regularization of Wasserstein Barycenters

• František Matúš, Institute of Information Theory - On the Boundaries of Exponential Families

• Bill Sampson, University of Manchester - Dimensionality Reduction for Characterization of Surface Topographies

• Adrian M Peter, Florida Institute of Technology - Geometry of Orthogonal-Series, Square-Root Density Estimators: Model Selection and Computer Vision Applications

• Karim Anaya-Izquierdo, University of Bath - Approximate Cuts for Statistical

• Damiano Brigo, Imperial College London - Stochastic Nonlinear Filtering via Hellinger or L2 Direct Projection on Exponential or Mixture Statistical Manifolds     

• Atsumi Ohara, University of Fukui - Information Geometry on Multivariate Generalized Gaussian Densities and Its Group Invariance

• Shun-ichi Amari, RIKEN Brain Science Institute - Information Integration and Complexity of System 

• Marti Gautier, École Polytechnique France/ Hellebore Capital Management - On Clustering Financial Time Series

• Frank Nielsen, École Polytechnique & Sony Computer Science Laboratories - Introduction to Computational Information Geometry and Its Applications    

• Paul Vos, East Carolina University - One and Two Dimensional Exponential Families in the Simplex

• Radka Sabolova, Open University - Computational Information Geometry for Sparse Goodness-Of-Fit Testing

• Roman Belavkin, University of Middlesex - Topological Consequences of Asymmetry of Information

• Michael Betancourt, University College London - The Geometric Foundations of Hamiltonian Monte Carlo

• Jun Zhang, The University of Michigan - Symplectic and (Para)-Kahler Structures on Statistical Manifolds  

• Simon Byrne, University College London - Geometry and Ergodicity

• Asuka Takatsu, Tohuko University - Behaviors of Varphi-Gaussian Measures in Wasserstein Geometry

• Arleta Szkola, Max Planck Institute for Mathematics in the Sciences - Statistical Models of Density Matrices

• Richard Nock, NICTA - Optimal Filters on Statistical Manifolds

• John Armstrong, Kings College London - Optimal Filters on Statistical Manifolds