Vincent Le Guen

18 papers A* 4B 1Journal 10Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Anchored-Branched Steady-state WInd Flow Transformer (AB-SWIFT): a metamodel for 3D atmospheric flow in urban environments. CoRR Armand de Villeroché, Rem-Sophia Mouradi, Vincent Le Guen, Sibo Cheng, Marc Bocquet, Alban Farchi, Patrick Armand, Patrick Massin
2023	J	`jnl`	Deep Time Series Forecasting With Shape and Temporal Criteria. IEEE Trans. Pattern Anal. Mach. Intell. Vincent Le Guen, Nicolas Thome
2022	—	`conf`	Complementing Brightness Constancy with Deep Networks for Optical Flow Prediction. ECCV (21) Vincent Le Guen, Clément Rambour, Nicolas Thome
2022	J	`jnl`	Complementing Brightness Constancy with Deep Networks for Optical Flow Prediction. CoRR Vincent Le Guen, Clément Rambour, Nicolas Thome
2022	J	`jnl`	Deep learning for spatio-temporal forecasting - application to solar energy. CoRR Vincent Le Guen
2021	A*	`conf`	Augmenting Physical Models with Deep Networks for Complex Dynamics Forecasting. ICLR Yuan Yin, Vincent Le Guen, Jérémie Donà, Emmanuel de Bézenac, Ibrahim Ayed, Nicolas Thome, Patrick Gallinari
2021	J	`jnl`	Deep Time Series Forecasting with Shape and Temporal Criteria. CoRR Vincent Le Guen, Nicolas Thome
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
2020	—	`conf`	A Deep Physical Model for Solar Irradiance Forecasting with Fisheye Images. CVPR Workshops Vincent Le Guen, Nicolas Thome
2020	J	`jnl`	Augmenting Physical Models with Deep Networks for Complex Dynamics Forecasting. CoRR Vincent Le Guen, Yuan Yin, Jérémie Donà, Ibrahim Ayed, Emmanuel de Bézenac, Nicolas Thome, Patrick Gallinari
2020	A*	`conf`	Disentangling Physical Dynamics From Unknown Factors for Unsupervised Video Prediction. CVPR Vincent Le Guen, Nicolas Thome
2020	J	`jnl`	Disentangling Physical Dynamics from Unknown Factors for Unsupervised Video Prediction. CoRR Vincent Le Guen, Nicolas Thome
2020	A*	`conf`	Probabilistic Time Series Forecasting with Shape and Temporal Diversity. NeurIPS Vincent Le Guen, Nicolas Thome
2020	J	`jnl`	Probabilistic Time Series Forecasting with Structured Shape and Temporal Diversity. CoRR Vincent Le Guen, Nicolas Thome
2019	A*	`conf`	Shape and Time Distortion Loss for Training Deep Time Series Forecasting Models. NeurIPS Vincent Le Guen, Nicolas Thome
2019	J	`jnl`	Shape and Time Distortion Loss for Training Deep Time Series Forecasting Models. CoRR Vincent Le Guen, Nicolas Thome
2014	B	`conf`	A Scanning Electron Microscope image segmentation method for steam generator fouling rate estimation. ICIP Vincent Le Guen, Nicolas Paul
2014	J	`jnl`	Cartoon + Texture Image Decomposition by the TV-L1 Model. Image Process. Line Vincent Le Guen

Nicolò Altamura, Enrico Bragastini, Marco Campion, Mila Dalla Preda

Chang Liu, Noah Fleischmann, Nicolò Altamura, Edward Raff, James Holt, Kristopher Micinski