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20122024
most citedGradient-based deterministic inversion of geophysical data with Generative Adversarial Networks: is it feasible?

72 citations · 191 across the 22 of their papers we have counts for

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Showing 2019Show all

5 papers · 1 filter

cs.CV2019

Pixel-wise Conditioning of Generative Adversarial Networks

Cyprien Ruffino, Romain Hérault, Eric Laloy +1

Generative Adversarial Networks (GANs) have proven successful for unsupervised image generation. Several works extended GANs to image inpainting by conditioning the generation with…

stat.ML2019★ 21 cited

Screening Sinkhorn Algorithm for Regularized Optimal Transport

Mokhtar Z. Alaya, Maxime Bérar, Gilles Gasso +1

We introduce in this paper a novel strategy for efficiently approximating the Sinkhorn distance between two discrete measures. After identifying neglectable components of the dual…

cs.CV2019★ 1 cited

Dilated Spatial Generative Adversarial Networks for Ergodic Image Generation

Cyprien Ruffino, Romain Hérault, Eric Laloy +1

Generative models have recently received renewed attention as a result of adversarial learning. Generative adversarial networks consist of samples generation model and a discrimina…

cs.CV2019★ 36 cited

Fast object detection in compressed JPEG Images

Benjamin Deguerre, Clément Chatelain, Gilles Gasso

Object detection in still images has drawn a lot of attention over past few years, and with the advent of Deep Learning impressive performances have been achieved with numerous ind…

cs.LG2019★ 10 cited

Screening Rules for Lasso with Non-Convex Sparse Regularizers

Alain Rakotomamonjy, Gilles Gasso, Joseph Salmon

Leveraging on the convexity of the Lasso problem , screening rules help in accelerating solvers by discarding irrelevant variables, during the optimization process. However, becaus…