EvolGAN: Evolutionary Generative Adversarial Networks. - Baptiste Rozière; Fabien Teytaud; Vlad Hosu; Hanhe Lin; Jérémy Rapin; Mariia Zameshina; Olivier Teytaud (ACCV (4), 2020)

Fairness in generative modeling: do it unsupervised! - Mariia Zameshina; Olivier Teytaud; Fabien Teytaud; Vlad Hosu; Nathanaël Carraz Rakotonirina; Laurent Najman; Markus Wagner 007 (GECCO Companion, 2022)

Fairness in generative modeling. - Mariia Zameshina; Olivier Teytaud; Fabien Teytaud; Vlad Hosu; Nathanaël Carraz; Laurent Najman; Markus Wagner 007 (CoRR, 2022)

Diverse Diffusion: Enhancing Image Diversity in Text-to-Image Generation. - Mariia Zameshina; Olivier Teytaud; Laurent Najman (CoRR, 2023)

PrivacyGAN: robust generative image privacy. - Mariia Zameshina; Marlène Careil; Olivier Teytaud; Laurent Najman (CoRR, 2023)

Log-normal Mutations and their Use in Detecting Surreptitious Fake Images. - Ismail Labiad; Thomas Bäck; Pierre Fernandez; Laurent Najman; Tom Sander; Furong Ye; Mariia Zameshina; Olivier Teytaud (CoRR, 2024)

Evolutionary Retrofitting. - Mathurin Videau; Mariia Zameshina; Alessandro Ferreira Leite; Laurent Najman; Marc Schoenauer; Olivier Teytaud (CoRR, 2024)

Advancing Ethical AI: Fairness, Diversity, and Privacy in Generative Modeling. (Avancer l'IA éthique: équité, diversité et confidentialité dans la modélisation generative). - Mariia Zameshina (2024)

Lognormal Mutations and their Use in Detecting Surreptitious Fake Images. - Olivier Teytaud; Mariia Zameshina; Tom Sander; Pierre Fernandez; Furong Ye; Laurent Najman; Thomas Bäck; Ismail Labiad (Trans. Mach. Learn. Res., 2025)