Inverse Method for the Retrieval of Ocean Vertical Profiles using Self Organizing Maps and Hidden Markov Models - Application on Ocean Colour Satellite Image Inversion. - Anastase Alexandre Charantonis; Julien Brajard; Cyril Moulin; Bardan Fouad; Sylvie Thiria (IJCCI (NCTA), 2011)

Completion of a Sparse GLIDER Database Using Multi-iterative Self-Organizing Maps (ITCOMP SOM). - Anastase Alexandre Charantonis; Pierre Testor; Laurent Mortier; Fabrizio D'Ortenzio; Sylvie Thiria (ICCS, 2015)

Reconstruction of Subsurface Velocities From Satellite Observations Using Iterative Self-Organizing Maps. - Christopher Chapman; Anastase Alexandre Charantonis (IEEE Geosci. Remote. Sens. Lett., 2017)

Construction of Multi-Year Time-Series Profiles of Suspended Particulate Inorganic Matter Concentrations Using Machine Learning Approach. - Pannimpullath Remanan Renosh; Frédéric Jourdin; Anastase Alexandre Charantonis; Khalil Yala; Aurélie Rivier; Fouad Badran; Sylvie Thiria; Nicolas Guillou; Fabien Leckler; Francis Gohin; Thierry Garlan (Remote. Sens., 2017)

The 2020 Climate Informatics Hackathon: Generating Nighttime Satellite Imagery from Infrared Observations. - William K. Jones; Redouane Lguensat; Anastase Alexandre Charantonis; Duncan Watson-Parris (CI, 2020)

Fusion of Rain Radar Images and Wind Forecasts in a Deep Learning Model Applied to Rain Nowcasting. - Vincent Bouget; Dominique Béréziat; Julien Brajard; Anastase Alexandre Charantonis; Arthur Filoche (Remote. Sens., 2021)

Inversion of Phytoplankton Pigment Vertical Profiles from Satellite Data Using Machine Learning. - Agathe Puissant; Roy El Hourany; Anastase Alexandre Charantonis; Chris Bowler; Sylvie Thiria (Remote. Sens., 2021)

An Observing System Simulation Experiment (OSSE) in Deriving Suspended Sediment Concentrations in the Ocean From MTG/FCI Satellite Sensor. - Frédéric Jourdin; Pannimpullath Remanan Renosh; Anastase Alexander Charantonis; Nicolas Guillou; Sylvie Thiria; Fouad Badran; Thierry Garlan (IEEE Trans. Geosci. Remote. Sens., 2021)

Statistics-Free Interpolation of Ocean Observations with Deep Spatio-Temporal Prior (short paper). - Arthur Filoche; Théo Archambault; Anastase Alexandre Charantonis; Dominique Béréziat (MACLEAN@PKDD/ECML, 2022)

Learning 4DVAR Inversion Directly from Observations. - Arthur Filoche; Julien Brajard; Anastase Alexandre Charantonis; Dominique Béréziat (ICCS (4), 2023)

Multimodal Unsupervised Spatio-Temporal Interpolation of Satellite Ocean Altimetry Maps. - Théo Archambault; Arthur Filoche; Anastase Alexandre Charantonis; Dominique Béréziat (VISIGRAPP (4: VISAPP), 2023)

Unsupervised Learning of Sea Surface Height Interpolation from Multi-variate Simulated Satellite Observations. - Théo Archambault; Arthur Filoche; Anastase Alexandre Charantonis; Dominique Béréziat; Sylvie Thiria (CoRR, 2023)

Pre-Training and Fine-Tuning Attention Based Encoder Decoder Improves Sea Surface Height Multi-Variate Inpainting. - Théo Archambault; Arthur Filoche; Anastase Alexandre Charantonis; Dominique Béréziat (VISIGRAPP (3): VISAPP, 2024)

ArchesWeather: An efficient AI weather forecasting model at 1.5° resolution. - Guillaume Couairon; Christian Lessig; Anastase Alexandre Charantonis; Claire Monteleoni (CoRR, 2024)

Improving sub-seasonal wind-speed forecasts in Europe with a non-linear model. - Ganglin Tian; Camille Le Coz; Anastase Alexandre Charantonis; Alexis Tantet; Naveen Goutham; Riwal Plougonven (CoRR, 2024)

ArchesWeather & ArchesWeatherGen: a deterministic and generative model for efficient ML weather forecasting. - Guillaume Couairon; Renu Singh; Anastase Alexandre Charantonis; Christian Lessig; Claire Monteleoni (CoRR, 2024)

ORCAst: Operational High-Resolution Current Forecasts. - Pierre Garcia; Inès Larroche; Amélie Pesnec; Hannah Bull; Théo Archambault; Evangelos Moschos; Alexandre Stegner; Anastase Alexandre Charantonis; Dominique Béréziat (CoRR, 2025)

Generating ensembles of spatially-coherent in-situ forecasts using flow matching. - David Landry; Claire Monteleoni; Anastase Alexandre Charantonis (CoRR, 2025)