Cover Image

Coupling-Informed Transport Maps for Bayesian Filtering in Nonlinear Dynamical Systems

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Zeng, Dengfei, Jiang, Lijian, Sun, Shuyu, Xiao, Dunhui
Format:	Preprint
Published:	2026
Subjects:	Machine Learning Computation 65C20, 93E11, 62F15
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Reinforcement Learning, Optimal Control, and Bayesian Filtering in Data Assimilation
by: Hammoud, Abed
Published: (2026)

An Approximate Bayesian Approach to Optimal Input Signal Design for System Identification
by: Bania, Piotr, et al.
Published: (2025)

An Efficient Conditional Score-based Filter for High Dimensional Nonlinear Filtering Problems
by: Zeng, Zhijun, et al.
Published: (2025)

An optimal experimental design approach to sensor placement in continuous stochastic filtering
by: Pathiraja, Sahani, et al.
Published: (2025)

A Continuous-Time Ensemble Kalman-Bucy Smoother for Causal Inference and Model Discovery
by: Jiang, Zhang, et al.
Published: (2026)

Learning Optimal Filters Using Variational Inference
by: Bach, Eviatar, et al.
Published: (2024)

The Mean Field Ensemble Kalman Filter: Near-Gaussian Setting
by: Carrillo, J. A., et al.
Published: (2022)

Robust volatility updates for Hierarchical Gaussian Filtering
by: Mathys, Christoph, et al.
Published: (2026)

An Improved Yau-Yau Algorithm for High Dimensional Nonlinear Filtering Problems
by: Yau, Shing-Tung, et al.
Published: (2025)

Statistical accuracy of the ensemble Kalman filter in the near-linear setting
by: Calvello, E., et al.
Published: (2025)

Bridging Prediction and Attribution: Identifying Forward and Backward Causal Influence Ranges Using Assimilative Causal Inference
by: Andreou, Marios, et al.
Published: (2025)

Assimilative Causal Inference
by: Andreou, Marios, et al.
Published: (2025)

An Assessment of Ensemble Kalman Filter and Azouani-Olson-Titi Algorithms for Data Assimilation: A Comparative Study
by: Ning, Ning, et al.
Published: (2024)

Statistical Accuracy of Approximate Filtering Methods
by: Carrillo, J. A., et al.
Published: (2024)

Gradient-Free Sequential Bayesian Experimental Design via Interacting Particle Systems
by: Gruhlke, Robert, et al.
Published: (2025)

Time-limited Balanced Truncation for Data Assimilation Problems
by: König, Josie, et al.
Published: (2022)

The Ensemble Kalman Update is an Empirical Matheron Update
by: MacKinlay, Dan
Published: (2025)

Bayesian Smoothed Quantile Regression
by: Liu, Bingqi, et al.
Published: (2025)

Model error moment estimation via data assimilation
by: Browne, P. A.
Published: (2016)

On micromodes in Bayesian posterior distributions and their implications for MCMC
by: Agrawal, Sanket, et al.
Published: (2026)

Non-asymptotic error estimates for the Laplace approximation in Bayesian inverse problems
by: Helin, Tapio, et al.
Published: (2020)

Exact affine conditioning beyond Gaussians: a unique characterization of the ensemble Kalman update
by: Jorgensen, Frederic J. N., et al.
Published: (2025)

Filtering of Continuous Time Periodically Correlated Isotropic Random Fields
by: Golichenko, Iryna, et al.
Published: (2016)

Feature preserving data assimilation via feature alignment
by: Subrahmanya, Amit N., et al.
Published: (2025)

Stochastic algebraic Riccati equations are almost as easy as deterministic ones theoretically
by: Guo, Zhen-Chen, et al.
Published: (2022)

Filtering of stochastic processes having periodically correlated increments
by: Luz, Maksym, et al.
Published: (2024)

Kernel-based linear system identification using augmented Krylov subspaces
by: Matti, Fabio, et al.
Published: (2026)

Confidence intervals for causal effects in sequential decision making
by: Vovk, Vladimir, et al.
Published: (2026)

Ensemble Variational Fokker-Planck Methods for Data Assimilation
by: Subrahmanya, Amit N, et al.
Published: (2021)

The Score Kalman Filter
by: Iwasaki, Kaito, et al.
Published: (2026)

An interpretable family of projected normal distributions and a related copula model for Bayesian analysis of hypertoroidal data
by: Kato, Shogo, et al.
Published: (2025)

Minimax-robust interpolation problem for periodically correlated isotropic on a sphere random field
by: Golichenko, Iryna, et al.
Published: (2025)

Analysis of the Ensemble Kalman--Bucy Filter for correlated observation noise
by: Ertel, Sebastian, et al.
Published: (2022)

A Probabilistic Approach to Trajectory-Based Optimal Experimental Design
by: Attia, Ahmed
Published: (2026)

A Martingale-Free Introduction to Conditional Gaussian Nonlinear Systems
by: Andreou, Marios, et al.
Published: (2024)

Filtering and 1/3 Power Law for Optimal Time Discretisation in Numerical Integration of Stochastic Differential Equations
by: Vladimirov, Igor G.
Published: (2025)

A localized particle filter for geophysical data assimilation
by: Crisan, Dan, et al.
Published: (2025)

Complex-Valued Signal Recovery using the Bayesian LASSO
by: Green, Dylan, et al.
Published: (2024)

Sample Average Approximation for Stochastic Programming with Equality Constraints
by: Lew, Thomas, et al.
Published: (2022)

On the Convergence Analysis of Yau-Yau Nonlinear Filtering Algorithm: from a Probabilistic Perspective
by: Sun, Zeju, et al.
Published: (2024)