activity
20102025
most citedDeepJDOT: Deep Joint Distribution Optimal Transport for Unsupervised Domain Adaptation

385 citations · 1.5k across the 64 of their papers we have counts for

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Showing 2017Show all

8 papers · 1 filter

astro-ph.IM2017★ 9 cited

French SKA White Book - The French Community towards the Square Kilometre Array

F. Acero, J. -T. Acquaviva, R. Adam +175

The "Square Kilometre Array" (SKA) is a large international radio telescope project characterised, as suggested by its name, by a total collecting area of approximately one square…

stat.ML2017★ 43 cited

On reducing the communication cost of the diffusion LMS algorithm

Ibrahim El Khalil Harrane, Rémi Flamary, Cédric Richard

The rise of digital and mobile communications has recently made the world more connected and networked, resulting in an unprecedented volume of data flowing between sources, data c…

stat.ML2017★ 73 cited

Large-Scale Optimal Transport and Mapping Estimation

Vivien Seguy, Bharath Bhushan Damodaran, Rémi Flamary +3

This paper presents a novel two-step approach for the fundamental problem of learning an optimal map from one distribution to another. First, we learn an optimal transport (OT) pla…

stat.ML2017★ 9 cited

Learning Wasserstein Embeddings

Nicolas Courty, Rémi Flamary, Mélanie Ducoffe

The Wasserstein distance received a lot of attention recently in the community of machine learning, especially for its principled way of comparing distributions. It has found numer…

math.OC2017

Distributed Deblurring of Large Images of Wide Field-Of-View

Rahul Mourya, André Ferrari, Rémi Flamary +2

Image deblurring is an economic way to reduce certain degradations (blur and noise) in acquired images. Thus, it has become essential tool in high resolution imaging in many applic…

astro-ph.IM2017★ 38 cited

Support Vector Machine classification of strong gravitational lenses

P. Hartley, R. Flamary, N. Jackson +2

The imminent advent of very large-scale optical sky surveys, such as Euclid and LSST, makes it important to find efficient ways of discovering rare objects such as strong gravitati…