CV Accueil - Archive ouverte HAL

	PDE-NetGen 1.0: from symbolic partial differential equation (PDE) representations of physical processes to trainable neural network representations Olivier Pannekoucke , Ronan Fablet Geoscientific Model Development, 2020, 13 (7), pp.3373-3382. ⟨10.5194/gmd-13-3373-2020⟩ Article dans une revue hal-02933377v1

	A parametric Kalman filter (PKF) tour of data assimilation Olivier Pannekoucke , Richard Ménard , Marc Bocquet , Ronan Fablet , Sophie Ricci Mathematical Approaches of Atmospheric Constituents Data Assimilation and Inverse Modeling \| BIRS, Mar 2023, Banff, Canada Communication dans un congrès hal-04273864v1
	Joint learning of variational data assimilation models and solvers Ronan Fablet , Lucas Drumetz , François Rousseau , Olivier Pannekoucke , Bertrand Chapron ECMWF-ESA 2020 - Workshop on Machine Learning for Earth System Observation and Prediction, Oct 2020, Reading, United Kingdom Communication dans un congrès hal-02927356v1
	Automated NN generation: from the symbolic computation to the design of NN architectures for numerical predictions Olivier Pannekoucke , Ronan Fablet ECMWF-ESA Workshop on Machine Learning for Earth System Observation and Prediction, Oct 2020, Reading, United Kingdom Communication dans un congrès hal-02927367v1

Ronan Fablet