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Vincent Le Guen
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2020 – today
- 2023
- [j2]Vincent Le Guen, Nicolas Thome:
Deep Time Series Forecasting With Shape and Temporal Criteria. IEEE Trans. Pattern Anal. Mach. Intell. 45(1): 342-355 (2023) - 2022
- [c7]Vincent Le Guen, Clément Rambour, Nicolas Thome:
Complementing Brightness Constancy with Deep Networks for Optical Flow Prediction. ECCV (21) 2022: 121-138 - [i7]Vincent Le Guen:
Deep learning for spatio-temporal forecasting - application to solar energy. CoRR abs/2205.03571 (2022) - [i6]Vincent Le Guen, Clément Rambour, Nicolas Thome:
Complementing Brightness Constancy with Deep Networks for Optical Flow Prediction. CoRR abs/2207.03790 (2022) - 2021
- [b1]Vincent Le Guen:
Deep learning for spatio-temporal forecasting - application to solar energy. (Apprentissage profond pour la prédiction spatio-temporelle - application à l'énergie solaire). Conservatoire national des arts et métiers, Paris, France, 2021 - [c6]Yuan Yin, Vincent Le Guen, Jérémie Donà, Emmanuel de Bézenac, Ibrahim Ayed, Nicolas Thome, Patrick Gallinari:
Augmenting Physical Models with Deep Networks for Complex Dynamics Forecasting. ICLR 2021 - [i5]Vincent Le Guen, Nicolas Thome:
Deep Time Series Forecasting with Shape and Temporal Criteria. CoRR abs/2104.04610 (2021) - 2020
- [c5]Vincent Le Guen, Nicolas Thome:
A Deep Physical Model for Solar Irradiance Forecasting with Fisheye Images. CVPR Workshops 2020: 2685-2688 - [c4]Vincent Le Guen, Nicolas Thome:
Disentangling Physical Dynamics From Unknown Factors for Unsupervised Video Prediction. CVPR 2020: 11471-11481 - [c3]Vincent Le Guen, Nicolas Thome:
Probabilistic Time Series Forecasting with Shape and Temporal Diversity. NeurIPS 2020 - [i4]Vincent Le Guen, Nicolas Thome:
Disentangling Physical Dynamics from Unknown Factors for Unsupervised Video Prediction. CoRR abs/2003.01460 (2020) - [i3]Vincent Le Guen, Yuan Yin, Jérémie Donà, Ibrahim Ayed, Emmanuel de Bézenac, Nicolas Thome, Patrick Gallinari:
Augmenting Physical Models with Deep Networks for Complex Dynamics Forecasting. CoRR abs/2010.04456 (2020) - [i2]Vincent Le Guen, Nicolas Thome:
Probabilistic Time Series Forecasting with Structured Shape and Temporal Diversity. CoRR abs/2010.07349 (2020)
2010 – 2019
- 2019
- [c2]Vincent Le Guen, Nicolas Thome:
Shape and Time Distortion Loss for Training Deep Time Series Forecasting Models. NeurIPS 2019: 4191-4203 - [i1]Vincent Le Guen, Nicolas Thome:
Shape and Time Distortion Loss for Training Deep Time Series Forecasting Models. CoRR abs/1909.09020 (2019) - 2014
- [j1]Vincent Le Guen:
Cartoon + Texture Image Decomposition by the TV-L1 Model. Image Process. Line 4: 204-219 (2014) - [c1]Vincent Le Guen, Nicolas Paul:
A Scanning Electron Microscope image segmentation method for steam generator fouling rate estimation. ICIP 2014: 4447-4451
Coauthor Index
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