{"total":13,"rows":[{"id":"2108.03561","title":"Combining machine learning and data assimilation to forecast dynamical systems from noisy partial observations","created":"2021-08-08","cited_by_count":21,"area":null},{"id":"2103.09360","title":"Towards physically consistent data-driven weather forecasting: Integrating data assimilation with equivariance-preserving deep spatial transformers","created":"2021-03-16","cited_by_count":15,"area":null},{"id":"2204.05117","title":"ReservoirComputing.jl: An Efficient and Modular Library for Reservoir Computing Models","created":"2022-04-08","cited_by_count":8,"area":null},{"id":"2107.11253","title":"State, global and local parameter estimation using local ensemble Kalman filters: applications to online machine learning of chaotic dynamics","created":"2021-07-23","cited_by_count":7,"area":null},{"id":"2202.11244","title":"A Bayesian Deep Learning Approach to Near-Term Climate Prediction","created":"2022-02-23","cited_by_count":7,"area":null},{"id":"2112.09182","title":"Predicting Shallow Water Dynamics using Echo-State Networks with Transfer Learning","created":"2021-12-16","cited_by_count":3,"area":null},{"id":"2305.00100","title":"Temporal Subsampling Diminishes Small Spatial Scales in Recurrent Neural Network Emulators of Geophysical Turbulence","created":"2023-04-28","cited_by_count":3,"area":null},{"id":"2108.13203","title":"Feature Importance in a Deep Learning Climate Emulator","created":"2021-08-27","cited_by_count":1,"area":null},{"id":"2310.12144","title":"Dynamic financial processes identification using sparse regressive reservoir computers","created":"2023-10-18","cited_by_count":1,"area":null},{"id":"2404.14651","title":"Forecasting the Forced van der Pol Equation with Frequent Phase Shifts Using Reservoir Computing","created":"2024-04-23","cited_by_count":0,"area":null},{"id":"2406.03061","title":"Predicting unobserved climate time series data at distant areas via spatial correlation using reservoir computing","created":"2024-06-05","cited_by_count":0,"area":null},{"id":"2505.16208","title":"Using Echo-State Networks to Reproduce Rare Events in Chaotic Systems","created":"2025-05-22","cited_by_count":0,"area":null},{"id":"2505.24099","title":"Attractor learning for spatiotemporally chaotic dynamical systems using echo state networks with transfer learning","created":"2025-05-30","cited_by_count":0,"area":null}],"next_cursor":null}