New Ideas in Computational Inverse Problems
Videos from BIRS Workshop
Simon Arridge, University College London
Monday Oct 24, 2022 09:02 - 09:33
Some aspects of stochastic optimisation for Inverse Problems
Youssef Marzouk, Massachusetts Institute of Technology
Monday Oct 24, 2022 09:33 - 10:13
Structure-exploiting transportation of measure for Bayesian inverse problems
Tristan van Leeuwen, Centrum Wiskunde & Informatica, NL
Monday Oct 24, 2022 10:31 - 11:11
Wave-based inverse problems - reducing non-linearity and uncertainty quantification
Hongkai Zhao, Duke University
Tuesday Oct 25, 2022 09:30 - 10:10
How much can one learn a PDE from a single solution data?
Diaraf Seck, Université Cheick Anta Diop de Dakar
Tuesday Oct 25, 2022 10:31 - 10:50
Numerical and theoretical analysis for optimal shape inverse problems
Fernando Guevara Vasquez, University of Utah
Tuesday Oct 25, 2022 11:02 - 11:42
Discrete inverse problems with internal functionals
Lukas Holbach, Johannes Gutenberg University Mainz
Tuesday Oct 25, 2022 13:00 - 13:30
Inferring Geometries and Rheological Properties of Tectonic Plates Using a Bayesian Level Set Method
Ricardo Baptista, MIT
Tuesday Oct 25, 2022 13:31 - 14:02
Gradient-based data and parameter dimension reduction for Bayesian models
Molei Tao, Georgia Institute of Technology
Tuesday Oct 25, 2022 14:03 - 14:35
Mirror Langevin for sampling constrained distributions
Isaac Harris, Purdue University
Tuesday Oct 25, 2022 14:35 - 15:12
Regularization of the Factorization Method with Applications
Giang Tran, University of Waterloo
Tuesday Oct 25, 2022 15:33 - 16:13
Sparse Random Feature Models and Applications
M. Yvonne Ou, University of Delaware
Tuesday Oct 25, 2022 16:36 - 17:03
Inverse problems for the decaying systems
Gunther Uhlmann, University of Washington and HKUST
Tuesday Oct 25, 2022 19:36 - 20:40
40 Years of Calderon's Problem
Liliana Borcea, Columbia University
Wednesday Oct 26, 2022 09:00 - 09:29
Waveform inversion with a data driven estimate of the internal wave
Aretha Teckentrup, University of Edinburgh
Wednesday Oct 26, 2022 09:34 - 10:01
Gaussian process regression in inverse problems and Markov chain Monte Carlo
Qin Li, University of Wisconsin-Madison
Wednesday Oct 26, 2022 10:05 - 10:32
Multi-scale inverse problems - from Schroedinger to Newton to Boltzmann
Rongjie Lai, Purdue University
Wednesday Oct 26, 2022 10:38 - 11:10
Computational Methods for Mean-field Games and their Inverse Problems
Li Wang, University of Minnesota
Wednesday Oct 26, 2022 11:13 - 11:47
Multiscale inverse problem based on radiative transport equation
Jianliang Qian, MSU
Thursday Oct 27, 2022 09:00 - 09:31
Fast algorithms for computational wave modeling and inversion
Haomin Zhou, Georgia Institute of Technology
Thursday Oct 27, 2022 09:35 - 10:10
Inverse Weak Adversarial Networks - iWAN - A Computational Method for High-dimensional Inverse Problems
Yen-Hsi Tsai, University of Texas at Austin
Thursday Oct 27, 2022 10:31 - 11:09
Side-effects of learning from submanifolds
Lu Zhang, Columbia University
Thursday Oct 27, 2022 11:11 - 11:39
Coupling deep learning with computational inversion
Leonardo Zepeda Núñez, Google Research and University of Wisconsin-Madison
Thursday Oct 27, 2022 13:01 - 13:33
Wide-Band Butterfly Networks - Leveraging deep learning for solving the inverse scattering problem in quasi-linear complexity
Alexander Mamonov, University of Houston
Thursday Oct 27, 2022 13:33 - 14:02
Waveform inversion via reduced order modeling
Jiguang Sun, Michigan Technological University
Thursday Oct 27, 2022 14:08 - 14:37
Deterministic-Statistical Approach for Inverse problems with Partial Data
Malena Espanol, Arizona State University
Thursday Oct 27, 2022 14:38 - 15:05
Variable Projection Methods for Separable Nonlinear Inverse Problems
Sung Ha Kang, Georgia Institute of Technology
Thursday Oct 27, 2022 15:32 - 15:58
Weak Form Approach to Identifying Differential Equation
Wenjing Liao, Georgia Institute of Technology
Thursday Oct 27, 2022 16:03 - 16:33
Inverse problems in machine learning where data exhibit low-dimensional structure
Peijun Li, Purdue
Thursday Oct 27, 2022 16:33 - 17:03
Inverse random potential scattering for elastic waves
Eric Chung, Chinese University of Hong Kong
Thursday Oct 27, 2022 17:07 - 17:39
Learning computational models using multiscale methods
Jihun Han, Dartmouth College
Friday Oct 28, 2022 09:01 - 09:25
Inhomogeneous Regularization with limited and indirect data
Chrysoula Tsogka, University of California Merced
Friday Oct 28, 2022 09:29 - 09:58
Phase and absorption contrast imaging using intensity measurements
Susan Minkoff, University of Texas at Dallas
Friday Oct 28, 2022 09:58 - 10:31
Use of extended source inversion for estimating the noise level in seismic data
Thi Phong Nguyen, NJIT
Friday Oct 28, 2022 10:34 - 11:01
Differential Sampling Method in inverse scattering
