Inverse Problems and Data Science

Date: 8 – 10 May 2017

Time: 10:00 – 16:30

DETAILS

REGISTER

 

 

 

This workshop is funded by the Turing and the London Mathematical Society and it will take place at the University of Edinburgh.

Please note there is a £60 registration fee for this event.


lms logoThis workshop aims to bring together researchers on inverse problems working in different areas of mathematics, statistics and machine learning as well as from the applied disciplines where inverse problems arise, such as astronomy, biology, computer vision, geoscience and medicine. The topics of the workshop include nonlinear inverse problems, algorithms, inverse problems in machine learning, theoretical properties of statistical estimators in inverse problems, Bayesian inverse problems, applications in science and medicine.

 

Confirmed speakers:

Marta Betcke (Computer Science, UCL, UK) “Dynamic high-resolution photoacoustic tomography with optical flow constraint”

Mike Christie (Petroleum Institute, Heriot Watt University, UK) ”Bayesian Hierarchical Models for Measurement Error”

Christian Clason (Mathematics, Duisburg-Essen University, Germany)” Functional error estimators for the adaptive discretization of inverse problem”

Sean Holman (Mathematics, University of Manchester, UK) “On the stability of the geodesic ray transform in the presence of caustics“

Michael Gutmann (Informatics, University of Edinburgh, UK)” Bayesian Inference by Density Ratio Estimation”

Kyong Jin (EPFL, Switzerland) “Deep Convolutional Neural Network for Inverse Problems in Imaging”

Axel Munk (Goettingen University, Germany) “Nanostatistics – Statistics for Nanoscopy”

Gabriel Paternain (University of Cambridge, UK) ”Effective inversion of the attenuated X-ray transform associated with a connection”

Marcelo Pereyra (Mathematics, Heriot Watt University, UK) ”Bayesian inference by convex optimisation: theory, methods, and algorithms.”

Markus Reiss (Humboldt University, Berlin, Germany)” Optimal adaptation for early stopping in statistical inverse problems”

Carola Schoenlieb (University of Cambridge) “Model-based learning in imaging”

Anna Simoni (CREST, CNRS, Paris, France) ”Nonparametric Estimation in case of Endogenous Selection”

Botond Szabo (Leiden University, Netherlands) ”Confidence in Bayesian uncertainty quantification in inverse problems”

Aretha Teckentrup (Mathematics, University of Edinburgh, UK)” Gaussian process regression in Bayesian inverse problems”

Nicholas Zabaras (Computational Science and Engineering, University of Notre Dame, USA) “Inverse Problems with an Unknown Scale of Estimation”

Talk titles pending:

– Michal Branicki (Mathematics, University of Edinburgh, UK)

– Andrew Curtis (GeoSciences, University of Edinburgh, UK)

– Eduard Kontar (University of Glasgow)

 

This workshop is led by:

– Natalia Bochkina, University of Edinburgh

– Carola Schoenlieb, University of Cambridge

– Marta Betcke, UCL

– Sean Holman, University of Manchester