Search Results for author: Arthur Pajot

Found 6 papers, 3 papers with code

Unsupervised Adversarial Image Inpainting

1 code implementation18 Dec 2019 Arthur Pajot, Emmanuel de Bezenac, Patrick Gallinari

This allows us sampling from the latent component in order to generate a distribution of images associated to an observation.

Image Inpainting Imputation

Unsupervised Spatiotemporal Data Inpainting

no code implementations25 Sep 2019 Yuan Yin, Arthur Pajot, Emmanuel de Bézenac, Patrick Gallinari

We tackle the problem of inpainting occluded area in spatiotemporal sequences, such as cloud occluded satellite observations, in an unsupervised manner.

Generative Adversarial Network

Unsupervised Adversarial Image Reconstruction

1 code implementation ICLR 2019 Arthur Pajot, Emmanuel de Bezenac, Patrick Gallinari

We address the problem of recovering an underlying signal from lossy, inaccurate observations in an unsupervised setting.

Image Reconstruction

Learning Dynamical Systems from Partial Observations

no code implementations26 Feb 2019 Ibrahim Ayed, Emmanuel de Bézenac, Arthur Pajot, Julien Brajard, Patrick Gallinari

We consider the problem of forecasting complex, nonlinear space-time processes when observations provide only partial information of on the system's state.

Deep Learning for Physical Processes: Incorporating Prior Scientific Knowledge

2 code implementations ICLR 2018 Emmanuel de Bezenac, Arthur Pajot, Patrick Gallinari

We consider the use of Deep Learning methods for modeling complex phenomena like those occurring in natural physical processes.

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