Publications
Full publication list on my Google Scholar profile.
New papers and Preprints
- Ouala, S., Debreu, L., Chapron, B., Collard, F., Gaultier, L., & Fablet, R. Enhanced Computational Complexity in Continuous-Depth Models: Neural Ordinary Differential Equations With Trainable Numerical Schemes. IEEE transactions on pattern analysis and machine intelligence.
- Ouala, S., Hidaoui, O., & Lachkar, Z. (2025). A Novel Global Gridded Ocean Oxygen Product Derived from a Neural Network Emulator and in-situ observations. Earth System Science Data Discussions, 2025, 1-25.
- Camps-Valls, G., Fernández-Torres, M. Á., Cohrs, K. H., Höhl, A., Castelletti, A., Pacal, A., … & Williams, T. (2025). Artificial intelligence for modeling and understanding extreme weather and climate events. Nature Communications, 16(1), 1919.
- Ouala, S., Chapron, B., Collard, F., Gaultier, L., & Fablet, R. (2024). Online calibration of deep learning sub-models for hybrid numerical modeling systems. Communications Physics, 7(1), 402.
Selected publications
- Ouala, S., Debreu, L., Chapron, B., Collard, F., Gaultier, L., & Fablet, R. Enhanced Computational Complexity in Continuous-Depth Models: Neural Ordinary Differential Equations With Trainable Numerical Schemes. IEEE transactions on pattern analysis and machine intelligence.
- Camps-Valls, G., Fernández-Torres, M. Á., Cohrs, K. H., Höhl, A., Castelletti, A., Pacal, A., … & Williams, T. (2025). Artificial intelligence for modeling and understanding extreme weather and climate events. Nature Communications, 16(1), 1919.
- Ouala, S., Chapron, B., Collard, F., Gaultier, L., & Fablet, R. (2024). Online calibration of deep learning sub-models for hybrid numerical modeling systems. Communications Physics, 7(1), 402.
- Ouala, S., Brunton, S. L., Chapron, B., Pascual, A., Collard, F., Gaultier, L., & Fablet, R. (2023). Bounded nonlinear forecasts of partially observed geophysical systems with physics-constrained deep learning. Physica D: Nonlinear Phenomena, 446, 133630.