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