Speakers
Semi-plenary speakers
- Del Moral, Pierre - INRIA Bordeaux, France
- Willcox, Karen - The University of Texas Austin, United States
Invited speakers
- Baptista, Ricardo - California Institute of Technology, United States
- Berry, Tyrus - George Mason University, United States
- Bocquet, Marc - École des Ponts, France
- Cui, Tiangang - Monash University, Australia
- de Wiljes, Jana - Potsdam University, Germany
- Gottwald, Georg - University of Sydney, United States
- Hoffmann, Franca - California Institute of Technology, United States
- Hosseini, Bamdad - University of Washington, United States
- Kim, Jin Won - Potsdam University, Germany
- Mollenhauer, Mattes - Freie Universitat Berlin, Germany
- Mondaini, Cecilia - Drexel University, United States
- Morzfeld, Matthias - University of California San Diego, United States
- Oliver, Dean - NORCE Research, United States
- Pasha, Mirjeta - Tufts University, United States
- Pathiraja, Sahani - University of New South Wales, Australia
- Sanz-Alonso, Daniel - University of Chicago, United States
- Ullmann, Elisabeth - TU Munich, Germany
- van Leeuwen, Peter Jan - Colorado State University, United States
- Wang, Sven - Massachusetts Institute of Technology , United States
- Xin, Tong - National University of Singapore, Singapore
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 |
Posters
- Regression-Based Methods for Learning Dynamic Bayesian Networks
Sara Amato - Worcester Polytechnic Institute , United States - Reduced Order Methods for Linear Gaussian Inverse Problems on separable Hilbert Spaces
Giuseppe Carere - University of Potsdam, Germany - A score-based operator Newton construction of transport maps
Nisha Chandramoorthy - Georgia Institute of Technology, United States of America - Stability for the optimal experimental design problem in Bayesian inverse problems
Duc-Lam Duong - LUT University, Finland - Towards analysis of localized ensemble Kalman-Bucy filters for convection dominated models and sparse observations
Gottfried Hastermann - University of Potsdam, Germany - Machine Learning for Missing Dynamics
Shixiao Jiang - ShanghaiTech University, China - Data assimilation for gas pipeline flow using observers based on velocity measurements
Teresa Kunkel - Technische Universität Darmstadt, Germany - EKI with dropout
Shuigen Liu - National University of Singapore, Singapore - On continuous-time Bayesian inference and the geometry of the probability manifold
Aimee Maurais - Massachusetts Institute of Technology, United States of America - Bayesian inverse problems in the presence of model error
Cvetkovic Nada - Eindhoven University of Technology, Netherlands - Spectral Convergence of Symmetrized Graph Laplacian on Manifolds with Boundary
J. Wilson Peoples - The Pennsylvania State University , USA