Search Results for author: Jérémie Messud

Found 3 papers, 0 papers with code

Optimal transport in full-waveform inversion: Analysis and practice of the multidimensional Kantorovich-Rubinstein norm

no code implementations4 Jan 2021 Jérémie Messud, Raphaël Poncet, Gilles Lambaré

Among them, the approach based on the Kantorovich-Rubinstein norm offers the possibility of the direct use of seismic data and an efficient numerical implementation allowing for a multidimensional (data coordinate space) application.

Geophysics

Adversarial training for predictive tasks: theoretical analysis and limitations in the deterministic case

no code implementations2 Nov 2020 Thibault Lesieur, Jérémie Messud, Issa Hammoud, Hanyuan Peng, Céline Lacombe, Paulien Jeunesse

To train a deep neural network to mimic the outcomes of processing sequences, a version of Conditional Generalized Adversarial Network (CGAN) can be used.

Adversarial training for predictive tasks: theoretical analysis and limitations in the deterministic case.

no code implementations NeurIPS Workshop ICBINB 2020 Thibault Lesieur, Jérémie Messud, Issa Hammoud, Hanyuan Peng, Céline Lacombe, Paulien Jeunesse

To train a deep neural network to mimic the outcomes of processing sequences, a version of Conditional Generalized Adversarial Network (CGAN) can be used.

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