Reduced-Order Autodifferentiable Ensemble Kalman Filters

27 January 2023

Papers citing "Reduced-Order Autodifferentiable Ensemble Kalman Filters"

10 / 10 papers shown

Title
Flow-based Bayesian filtering for high-dimensional nonlinear stochastic dynamical systems Xintong Wang Xiaofei Guan Ling Guo Hao Wu BDL 43 0 0 22 Feb 2025
The Deep Latent Space Particle Filter for Real-Time Data Assimilation with Uncertainty Quantification N. T. Mücke Sander M. Bohté C. Oosterlee 27 0 0 04 Jun 2024
Ensemble Kalman Filtering Meets Gaussian Process SSM for Non-Mean-Field and Online Inference Zhidi Lin Yiyong Sun Feng Yin Alexandre Thiéry 16 4 0 10 Dec 2023
Ensemble Kalman Filters with Resampling Omar Al Ghattas Jiajun Bao D. Sanz-Alonso 16 6 0 17 Aug 2023
Efficient Bayesian Physics Informed Neural Networks for Inverse Problems via Ensemble Kalman Inversion Andrew Pensoneault Xueyu Zhu PINN 19 5 0 13 Mar 2023
Auto-differentiable Ensemble Kalman Filters Yuming Chen D. Sanz-Alonso Rebecca Willett 32 33 0 16 Jul 2021
Machine Learning Techniques to Construct Patched Analog Ensembles for Data Assimilation L. Yang Ian G. Grooms 13 18 0 27 Feb 2021
Fourier Neural Operator for Parametric Partial Differential Equations Zong-Yi Li Nikola B. Kovachki Kamyar Azizzadenesheli Burigede Liu K. Bhattacharya Andrew M. Stuart Anima Anandkumar AI4CE 203 2,272 0 18 Oct 2020
Combining Machine Learning with Knowledge-Based Modeling for Scalable Forecasting and Subgrid-Scale Closure of Large, Complex, Spatiotemporal Systems Alexander Wikner Jaideep Pathak Brian Hunt M. Girvan T. Arcomano I. Szunyogh Andrew Pomerance Edward Ott AI4CE 62 70 0 10 Feb 2020
A Bayesian adaptive ensemble Kalman filter for sequential state and parameter estimation Jonathan R. Stroud Matthias Katzfuss C. Wikle 31 55 0 11 Nov 2016