Inverse Problems and Data Science
May 8th -10th 2017
Venue: Informatics Forum, 10 Crichton St, Edinburgh EH8 9AB, UK
Organisers: Natalia Bochkina (University of Edinburgh), Carola Schoenlieb (University of Cambridge), Marta Betcke (UCL), Sean Holman (University of Manchester)
The aim of the workshop is 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.
Financial support: The Alan Turing Institute and London Mathematical Society
Sponsoring: if you would like to sponsor the event, please get in touch with one of the organisers. We are grateful to Schlumberger for sponsorship.
Times: the workshop will start at 10am on Monday 8th of May and concludes at 4:30pm on Wednesday 10th of May
Registration: deadline is 30 April, registration fee is £60. Please register here.
Poster abstract submission deadline: Friday 7th of April. The decision will be made by 14th of April
There will also be a training course on Bayesian inverse problems on 11 May 2017 (link) – registration will be available soon.
Marta Betcke (Computer Science, UCL, UK) “Dynamic high-resolution photoacoustic tomography with optical flow constraint”
Michal Branicki (Mathematics, University of Edinburgh, UK
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”
Andrew Curtis (GeoSciences, University of Edinburgh, UK)
Sean Holman (Mathematics, University of Manchester, UK)
Michael Gutmann (Informatics, University of Edinburgh, UK
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)
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”
Anna Simoni (CNRS and CREST, Paris, France)
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)
For more information, including registration, poster abstract submission, and details of travel bursaries please visit www.maths.ed.ac.uk/~nbochkin/LMSTuring_inverseproblems_workshop.htm