Asymptotic Guarantees for Learning Generative Models with the Sliced-Wasserstein Distance

Kimia Nadjahi; Alain Durmus; Umut Şimşekli; Roland Badeau

Conference papers

Asymptotic Guarantees for Learning Generative Models with the Sliced-Wasserstein Distance

Kimia Nadjahi ¹ Alain Durmus ^{2, 3} Umut Şimşekli ¹ Roland Badeau ^{4, 5, 1}

1 LTCI - Laboratoire Traitement et Communication de l'Information

2 CMLA - Centre de Mathématiques et de Leurs Applications

3 ENS Cachan - École normale supérieure - Cachan

4 IDS - Département Images, Données, Signal

5 S2A - Signal, Statistique et Apprentissage

LTCI - Laboratoire Traitement et Communication de l'Information

Document type :

Conference papers

Domain :

Engineering Sciences [physics] / Signal and Image processing

Complete list of metadata

https://hal.telecom-paris.fr/hal-02280944
Contributor : Roland Badeau Connect in order to contact the contributor
Submitted on : Friday, September 6, 2019 - 5:35:12 PM
Last modification on : Wednesday, November 3, 2021 - 8:07:54 AM

Asymptotic Guarantees for Learning Generative Models with the Sliced-Wasserstein Distance

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Asymptotic Guarantees for Learning Generative Models with the Sliced-Wasserstein Distance

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