A Scanning Electron Microscope image segmentation method for steam generator fouling rate estimation. - Vincent Le Guen; Nicolas Paul (ICIP, 2014)

Cartoon + Texture Image Decomposition by the TV-L1 Model. - Vincent Le Guen (Image Process. Line, 2014)

Shape and Time Distortion Loss for Training Deep Time Series Forecasting Models. - Vincent Le Guen; Nicolas Thome (NeurIPS, 2019)

A Deep Physical Model for Solar Irradiance Forecasting with Fisheye Images. - Vincent Le Guen; Nicolas Thome (CVPR Workshops, 2020)

Disentangling Physical Dynamics From Unknown Factors for Unsupervised Video Prediction. - Vincent Le Guen; Nicolas Thome (CVPR, 2020)

Probabilistic Time Series Forecasting with Shape and Temporal Diversity. - Vincent Le Guen; Nicolas Thome (NeurIPS, 2020)

Probabilistic Time Series Forecasting with Structured Shape and Temporal Diversity. - Vincent Le Guen; Nicolas Thome (CoRR, 2020)

Augmenting Physical Models with Deep Networks for Complex Dynamics Forecasting. - Yuan Yin; Vincent Le Guen; Jérémie Donà; Emmanuel de Bézenac; Ibrahim Ayed; Nicolas Thome; Patrick Gallinari (ICLR, 2021)

Deep learning for spatio-temporal forecasting - application to solar energy. (Apprentissage profond pour la prédiction spatio-temporelle - application à l'énergie solaire). - Vincent Le Guen (2021)

Complementing Brightness Constancy with Deep Networks for Optical Flow Prediction. - Vincent Le Guen; Clément Rambour; Nicolas Thome (ECCV (21), 2022)

Deep learning for spatio-temporal forecasting - application to solar energy. - Vincent Le Guen (CoRR, 2022)

Deep Time Series Forecasting With Shape and Temporal Criteria. - Vincent Le Guen; Nicolas Thome (IEEE Trans. Pattern Anal. Mach. Intell., 2023)