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Machine learning-based conditional mean filter: A generalization of the ensemble Kalman filter for nonlinear data assimilation2022 Foundations of Data Science article Earth and Planetary Sciences Meteorological Phenomena and Simulations Open access
Truong‐Vinh Hoang, Sebastian Krumscheid, Hermann Georg Matthies, Raul F. Tempone
4citations -
Machine learning-based conditional mean filter: a generalization of the ensemble Kalman filter for nonlinear data assimilation2021 arXiv (Cornell University) preprint Earth and Planetary Sciences Meteorological Phenomena and Simulations Open access
Truong‐Vinh Hoang, Sebastian Krumscheid, Hermann Georg Matthies, Raul F. Tempone
0citations -
Valid time shifting ensemble Kalman filter (VTS-EnKF) for dust storm forecasting2024 Geoscientific model development article Earth and Planetary Sciences Meteorological Phenomena and Simulations Open access
Mijie Pang, Jianbing Jin, Arjo J. Segers, Huiya Jiang, Wei Han, Batjargal Buyantogtokh, +5 more
10citations -
A gridded air quality forecast through fusing site-available machine learning predictions from RFSML v1.0 and chemical transport model results from GEOS-Chem v13.1.0 using the ensemble Kalman filter2023 Geoscientific model development article Environmental Science Air Quality Monitoring and Forecasting Open access
Jianbing Jin, Arjo J. Segers, Hong Liao, Ke Li, Bufan Xu, Wei Han, +2 more
14citations -
Model predictive force control in milling based on an ensemble Kalman filter2022 Journal of Intelligent Manufacturing article Engineering Advanced machining processes and optimization Open access
Max Schwenzer, Sebastian Stemmler, Muzaffer Ay, Adrian Karl Rüppel, Thomas Bergs, Dirk Abel
29citations -
Ensemble Kalman Filter Optimizing Deep Neural Networks: An Alternative Approach to Non-performing Gradient Descent2020 Lecture notes in computer science conference-paper Computer Science Stochastic Gradient Optimization Techniques
Alper Yegenoglu, Kai Krajsek, Sandra Diaz-Pier, Michaël Herty
7citations -
Supplementary material to "Using an offline ensemble Kalman filter to estimate ammonia emissions in the Netherlands"2026 supplementary-materials Earth and Planetary Sciences Atmospheric chemistry and aerosols Open access
Simeng Li, Enrico Dammers, Beatriz Herrera, Arjo J. Segers, Mark W. Shephard, Martin Van Damme, +4 more
0citations -
Importance sampling for rare event tracking within the ensemble Kalman filtering framework2026 White Rose Research Online (University of Leeds, The University of Sheffield, University of York) article Mathematics Markov Chains and Monte Carlo Methods Open access
Nadhir Ben Rached, Erik von Schwerin, Gaukhar Shaimerdenova, Raul F. Tempone
0citations