Statistical Aspects of Non-Linear Inverse Problems (Online)
Videos from BIRS Workshop
Richard Nickl, University of Cambridge
Monday Nov 1, 2021 09:30 - 10:10
Bayesian non-linear inversion: progress and challenges
Mikko Salo, University of Jyväskylä
Monday Nov 1, 2021 10:20 - 11:00
Instability mechanisms in inverse problems
Bamdad Hosseini, California Institute of Technology
Monday Nov 1, 2021 11:30 - 12:10
Solving and Learning Nonlinear PDEs with Gaussian Processes
Barbara Kaltenbacher, University of Klagenfurt
Tuesday Nov 2, 2021 10:20 - 11:00
Reduced, all-at-once, and variational formulations of inverse problems and their solution
Youssef Marzouk, Massachusetts Institute of Technology
Tuesday Nov 2, 2021 11:30 - 12:10
Dimension reduction in nonlinear Bayesian inverse problems
Robert Scheichl, Heidelberg University
Wednesday Nov 3, 2021 09:30 - 10:10
Efficient Sample-Based Inference Algorithms in High Dimensions
Judith Rousseau, Université Paris Dauphine
Wednesday Nov 3, 2021 10:20 - 11:00
On some Bayesian inverse problems in mixture models
Plamen Stefanov, Purdue
Wednesday Nov 3, 2021 11:30 - 12:10
Noise in linear inverse problems
Samuli Siltanen, University of Helsinki
Thursday Nov 4, 2021 09:30 - 10:10
Bayesian inversion for Glottal Inverse Filtering
Giovanni S. Alberti, University of Genoa
Thursday Nov 4, 2021 10:20 - 11:00
Infinite-dimensional inverse problems with finite measurements
Nathan Glatt-Holtz, Tulane University
Thursday Nov 4, 2021 11:30 - 12:10
Some Recent Developments in the Bayesian Approach to PDE Inverse Problems: Statistical Sampling and Consistency
Jan Bohr, University of Cambridge
Friday Nov 5, 2021 09:30 - 10:10
Stability & Range of some nonlinear X-ray transforms
Hanne Kekkonen, Delft University of Technology
Friday Nov 5, 2021 10:20 - 11:00
Consistency of Bayesian inference for a parabolic inverse problem
Sven Wang, MIT
Friday Nov 5, 2021 11:30 - 12:10
On polynomial-time computation of high-dimensional posterior measures by Langevin-type algorithms
