Workshops Period I.

June 12, 13, 14

I.6: Mathematical Foundations of Data Assimilation and Inverse Problems

Room 108 (corridor 44-45)



Semi-plenary speakers
Invited speakers

Preliminary program

This schedule is preliminary and could be updated.

Monday, June 12
14:00 ~ 14:30 Gradient-based dimension reduction for solving Bayesian inverse problems
Ricardo Baptista - California Institute of Technology, USA
14:30 ~ 15:00 Higher Order Ensemble Kalman Filtering
Tyrus Berry - George Mason University, USA
15:00 ~ 15:30 Bayesian online algorithms for learning data-driven models of chaotic dynamics
Marc Bocquet - CEREA, École des Ponts and EdF R&D, Île-de-France, France
15:30 ~ 16:00 Particle dynamics for rare event estimation with PDE-based models
Elisabeth Ullmann - Technical University of Munich, Germany
16:30 ~ 17:30 Nonlinear manifold approximations for reduced-order modeling of nonlinear systems
Karen Willcox - The University of Texas at Austin, USA
17:30 ~ 18:00 Sequential Bayesian Learning
Jana de Wiljes - Uni Potsdam, Germany
18:00 ~ 18:30 Combining Machine Learning and Stochastic Methods for Modeling and Forecasting Complex Systems
Georg Gottwald - University of Sydney, Australia
Tuesday, June 13
14:00 ~ 15:00 Some theoretical aspects of Particle Filters and Ensemble Kalman Filters
Pierre Del Moral - INRIA, France
15:00 ~ 15:30 The Ensemble Kalman Filter in the Near-Gaussian Setting
Franca Hoffmann - California Institute of Technology, United States
15:30 ~ 16:00 Optimal Transport Particle Filters
Bamdad Hosseini - University of Washington, USA
16:30 ~ 17:00 Stability of the nonlinear filter against prior knowledge via duality formalism
Jin Won Kim - University of Potsdam, Germany
17:00 ~ 17:30 Learning linear operators: infinite-dimensional regression as an inverse problem
Mattes Mollenhauer - Freie Universität Berlin, Germany
17:30 ~ 18:00 An involution framework for Metropolis-Hastings algorithms on general state spaces
Cecilia Mondaini - Drexel University, USA
18:00 ~ 18:30 Markov chain Monte Carlo and high-dimensional, nonlinear inverse problems in Earth Science
Matthias Morzfeld - Scripps Institution of Oceanography, University of California, San Diego, USA
Wednesday, June 14
14:00 ~ 14:30 Hybrid ensemble data assimilation for hierarchical models
Dean Oliver - NORCE Norwegian Research Centre, Norway
14:30 ~ 15:00 Computational Challenges and Advancements in Edge-Preserving Methods for Dynamic and Large-Scale Data
Mirjeta Pasha - Tufts University, United States of America
15:00 ~ 15:30 Alternatives to delta functions in Monte Carlo based Uncertainty Quantification
Sahani Pathiraja - University of New South Wales, Australia
15:30 ~ 16:00 Non-asymptotic analysis of ensemble Kalman updates: effective dimension and localization
Daniel Sanz-Alonso - University of Chicago, United States
16:30 ~ 17:00 Sampling with constraints
Xin Tong - National University of Singapore, Singapore
17:00 ~ 17:30 DIRT: a tensorised inverse Rosenblatt transport method
Tiangang Cui - Monash University, Australia
17:30 ~ 18:00 Nonlinear Filtering and Smoothing for Very High-Dimensional Geophysical Systems
Peter Jan van Leeuwen - Colorado State University, United States
18:00 ~ 18:30 Statistical theory for transport-based generative modelling
Sven Wang - M.I.T., United States


All abstracts

View all abstracts of this workshop.