{"total":27,"rows":[{"id":"2303.10462","title":"Machine learning with data assimilation and uncertainty quantification for dynamical systems: a review","created":"2023-03-18","cited_by_count":75,"area":null},{"id":"2404.06665","title":"Deep Generative Data Assimilation in Multimodal Setting","created":"2024-04-10","cited_by_count":29,"area":null},{"id":"2204.03497","title":"Generalised Latent Assimilation in Heterogeneous Reduced Spaces with Machine Learning Surrogate Models","created":"2022-04-07","cited_by_count":26,"area":null},{"id":"2312.12455","title":"FengWu-4DVar: Coupling the Data-driven Weather Forecasting Model with 4D Variational Assimilation","created":"2023-12-16","cited_by_count":23,"area":null},{"id":"2109.12269","title":"Integrating Recurrent Neural Networks with Data Assimilation for Scalable Data-Driven State Estimation","created":"2021-09-25","cited_by_count":21,"area":null},{"id":"2312.12462","title":"Towards an end-to-end artificial intelligence driven global weather forecasting system","created":"2023-12-18","cited_by_count":21,"area":null},{"id":"2310.16187","title":"Efficient deep data assimilation with sparse observations and time-varying sensors","created":"2023-10-24","cited_by_count":14,"area":null},{"id":"2411.19305","title":"LD-EnSF: Synergizing Latent Dynamics with Ensemble Score Filters for Fast Data Assimilation with Sparse Observations","created":"2024-11-28","cited_by_count":11,"area":null},{"id":"2309.09574","title":"Latent assimilation with implicit neural representations for unknown dynamics","created":"2023-09-18","cited_by_count":9,"area":null},{"id":"2406.01645","title":"FNP: Fourier Neural Processes for Arbitrary-Resolution Data Assimilation","created":"2024-06-03","cited_by_count":8,"area":null},{"id":"2408.04739","title":"Accurate deep learning-based filtering for chaotic dynamics by identifying instabilities without an ensemble","created":"2024-08-08","cited_by_count":7,"area":null},{"id":"2409.00244","title":"TorchDA: A Python package for performing data assimilation with deep learning forward and transformation functions","created":"2024-08-30","cited_by_count":5,"area":null},{"id":"2502.12987","title":"Ensemble Kalman filter in latent space using a variational autoencoder pair","created":"2025-02-18","cited_by_count":5,"area":null},{"id":"2501.13312","title":"Tensor-Var: Efficient Four-Dimensional Variational Data Assimilation","created":"2025-01-23","cited_by_count":4,"area":null},{"id":"2406.02204","title":"The Deep Latent Space Particle Filter for Real-Time Data Assimilation with Uncertainty Quantification","created":"2024-06-04","cited_by_count":3,"area":null},{"id":"2412.13477","title":"Generating Unseen Nonlinear Evolution in Sea Surface Temperature Using a Deep Learning-Based Latent Space Data Assimilation Framework","created":"2024-12-18","cited_by_count":3,"area":null},{"id":"2510.13030","title":"Bridging Idealized and Operational Models: An Explainable AI Framework for Earth System Emulators","created":"2025-10-14","cited_by_count":3,"area":null},{"id":"2603.06752","title":"Latent Autoencoder Ensemble Kalman Filter for Nonlinear Data assimilation","created":"2026-03-06","cited_by_count":3,"area":null},{"id":"2402.02980","title":"Review on Fault Diagnosis and Fault-Tolerant Control Scheme for Robotic Manipulators: Recent Advances in AI, Machine Learning, and Digital Twin","created":"2024-02-05","cited_by_count":2,"area":null},{"id":"2602.23461","title":"Neural ensemble Kalman filter: Data assimilation for compressible flows with shocks","created":"2026-02-26","cited_by_count":2,"area":null},{"id":"2603.04395","title":"Accurate and Efficient Hybrid-Ensemble Atmospheric Data Assimilation in Latent Space with Uncertainty Quantification","created":"2026-03-04","cited_by_count":1,"area":null},{"id":"2608.23297","title":"ADDA: a Modular Framework for Representing, Simulating and Assimilating Dynamics with End-to-end Differentiability","created":"2026-08-24","cited_by_count":1,"area":null},{"id":"2607.12975","title":"Ensemble Controlled-Flow Filtering for Implicit Data Assimilation","created":"2026-07-14","cited_by_count":0,"area":null},{"id":"2607.19147","title":"Incomplete Observations Boost Evolutionary Performance in Ocean Modeling","created":"2026-07-21","cited_by_count":0,"area":null},{"id":"2609.26890","title":"PR-Smoother: Simulator-Preserving Non-Gaussian Smoothing for Data Assimilation","created":"2026-09-22","cited_by_count":0,"area":null},{"id":"2609.37435","title":"Variational Augmented Invertible Koopman Autoencoder for probabilistic time series forecasting","created":"2026-09-29","cited_by_count":0,"area":null},{"id":"2610.04034","title":"LD-EnFF: Latent-Dynamics Ensemble Flow Filtering for Data Assimilation with Sparse Observations","created":"2026-10-02","cited_by_count":0,"area":null}],"next_cursor":null}