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07/08/2022
Complementing Brightness Constancy with Deep Networks for Optical Flow Prediction
State-of-the-art methods for optical flow estimation rely on deep learni...
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05/07/2022
Deep learning for spatio-temporal forecasting – application to solar energy
This thesis tackles the subject of spatio-temporal forecasting with deep...
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04/09/2021
Deep Time Series Forecasting with Shape and Temporal Criteria
This paper addresses the problem of multi-step time series forecasting f...
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10/14/2020
Probabilistic Time Series Forecasting with Structured Shape and Temporal Diversity
Probabilistic forecasting consists in predicting a distribution of possi...
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10/09/2020
Augmenting Physical Models with Deep Networks for Complex Dynamics Forecasting
Forecasting complex dynamical phenomena in settings where only partial k...
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03/03/2020
Disentangling Physical Dynamics from Unknown Factors for Unsupervised Video Prediction
Leveraging physical knowledge described by partial differential equation...
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09/19/2019
