Vincent Le Guen

According to our database, Vincent Le Guen authored at least 13 papers between 2014 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Anchored-Branched Steady-state WInd Flow Transformer (AB-SWIFT): a metamodel for 3D atmospheric flow in urban environments.

Armand de Villeroché, Rem-Sophia Mouradi, Vincent Le Guen, Sibo Cheng, Marc Bocquet, Alban Farchi, Patrick Armand, Patrick Massin

CoRR, March, 2026

2023

Deep Time Series Forecasting With Shape and Temporal Criteria.

Vincent Le Guen, Nicolas Thome

IEEE Trans. Pattern Anal. Mach. Intell., 2023

2022

Deep learning for spatio-temporal forecasting - application to solar energy.

Vincent Le Guen

CoRR, 2022

Complementing Brightness Constancy with Deep Networks for Optical Flow Prediction.

Vincent Le Guen, Clément Rambour, Nicolas Thome

Proceedings of the Computer Vision - ECCV 2022, 2022

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

PhD thesis, 2021

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

Proceedings of the 9th International Conference on Learning Representations, 2021

2020

Probabilistic Time Series Forecasting with Structured Shape and Temporal Diversity.

Vincent Le Guen, Nicolas Thome

CoRR, 2020

Probabilistic Time Series Forecasting with Shape and Temporal Diversity.

Vincent Le Guen, Nicolas Thome

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Disentangling Physical Dynamics From Unknown Factors for Unsupervised Video Prediction.

Vincent Le Guen, Nicolas Thome

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

A Deep Physical Model for Solar Irradiance Forecasting with Fisheye Images.

Vincent Le Guen, Nicolas Thome

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

Shape and Time Distortion Loss for Training Deep Time Series Forecasting Models.

Vincent Le Guen, Nicolas Thome

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

2014

Cartoon + Texture Image Decomposition by the TV-L1 Model.

Vincent Le Guen

Image Process. Line, 2014

A Scanning Electron Microscope image segmentation method for steam generator fouling rate estimation.

Vincent Le Guen, Nicolas Paul

Proceedings of the 2014 IEEE International Conference on Image Processing, 2014