Victor Mangeleer

Bio.  I am a Physics Engineer from the University of Liège who is passionate about exploring the intersection of physics and computer science. Since 2023, I have been pursuing my PhD under the supervision of professors Marilaure Grégoire and Gilles Louppe. My thesis, entitled Understanding ocean deoxygenation using deep learning, is being conducted within the framework of the Multiple Threats on Ocean Health project, funded by the European Space Agency.

Publications

Appa: Bending Weather Dynamics with Latent Diffusion Models for Global Data Assimilation Gérôme Andry, François Rozet, Sacha Lewin, Omer Rochman, Victor Mangeleer, Matthias Pirlet, Elise Faulx, Marilaure Grégoire & Gilles Louppe. ArXiv pre-print, 2025.
Robust Ocean Subgrid-Scale Parameterizations Using Fourier Neural Operators Victor Mangeleer & Gilles Louppe. ML4PS workshop, NeurIPS 2023.
Ocean parameterizations in an idealized model using machine learning Victor Mangeleer & Gilles Louppe. ORBI, Université de Liège 2023.

Posters

Appa: Bending Weather Dynamics with Latent Diffusion Models for Global Data Assimilation Gérôme Andry, François Rozet, Sacha Lewin, Omer Rochman, Victor Mangeleer, Matthias Pirlet, Elise Faulx, Marilaure Grégoire & Gilles Louppe. Workshop on data assimilation, ECMWF 2025.
Generative Models for Spatial-Based Bottom Hypoxia Forecasting in Black Sea (V2) Victor Mangeleer, Marilaure Grégoire & Gilles Louppe. Biogeochemistry workshop, Ocean predict 2024.
Generative Models for Spatial-Based Bottom Hypoxia Forecasting in Black Sea (V1) Victor Mangeleer, Marilaure Grégoire & Gilles Louppe. Generative modeling summer school 2024.
Robust Ocean Subgrid-Scale Parameterizations Using Fourier Neural Operators Victor Mangeleer & Gilles Louppe. ML4PS workshop, NeurIPS 2023.