Search Results for author: Francois Rousseau

Found 3 papers, 2 papers with code

Learning Variational Data Assimilation Models and Solvers

2 code implementations25 Jul 2020 Ronan Fablet, Bertrand Chapron, Lucas. Drumetz, Etienne Memin, Olivier Pannekoucke, Francois Rousseau

Intriguingly, we also show that the variational models issued from the true Lorenz-63 and Lorenz-96 ODE representations may not lead to the best reconstruction performance.

Joint learning of variational representations and solvers for inverse problems with partially-observed data

5 code implementations5 Jun 2020 Ronan Fablet, Lucas. Drumetz, Francois Rousseau

The variational cost and the gradient-based solver are both stated as neural networks using automatic differentiation for the latter.

Image Inpainting Time Series +1

Residual Networks as Geodesic Flows of Diffeomorphisms

no code implementations24 May 2018 Francois Rousseau, Ronan Fablet

This paper addresses the understanding and characterization of residual networks (ResNet), which are among the state-of-the-art deep learning architectures for a variety of supervised learning problems.

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