Evolutionary super-resolution. - Baptiste Rozière; Nathanaël Carraz Rakotonirina; Vlad Hosu; Hanhe Lin; Andry Rasoanaivo; Olivier Teytaud; Camille Couprie (GECCO Companion, 2020)

ESRGAN+ : Further Improving Enhanced Super-Resolution Generative Adversarial Network. - Nathanaël Carraz Rakotonirina; Andry Rasoanaivo (ICASSP, 2020)

Tarsier: Evolving Noise Injection in Super-Resolution GANs. - Baptiste Rozière; Nathanaël Carraz Rakotonirina; Vlad Hosu; Andry Rasoanaivo; Hanhe Lin; Camille Couprie; Olivier Teytaud (ICPR, 2020)

Self-Attention for Audio Super-Resolution. - Nathanaël Carraz Rakotonirina (MLSP, 2021)

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)

Cross-Domain Image Captioning with Discriminative Finetuning. - Roberto Dessì; Michele Bevilacqua; Eleonora Gualdoni; Nathanaël Carraz Rakotonirina; Francesca Franzon; Marco Baroni (CVPR, 2023)

Can discrete information extraction prompts generalize across language models? - Nathanaël Carraz Rakotonirina; Roberto Dessì; Fabio Petroni; Sebastian Riedel 001; Marco Baroni (ICLR, 2023)

Towards hate speech detection in low-resource languages: Comparing ASR to acoustic word embeddings on Wolof and Swahili. - Christiaan Jacobs; Nathanaël Carraz Rakotonirina; Everlyn Asiko Chimoto; Bruce A. Bassett; Herman Kamper (INTERSPEECH, 2023)

MemoryPrompt: A Light Wrapper to Improve Context Tracking in Pre-trained Language Models. - Nathanaël Carraz Rakotonirina; Marco Baroni (LREC/COLING, 2024)

Evil twins are not that evil: Qualitative insights into machine-generated prompts. - Nathanaël Carraz Rakotonirina; Corentin Kervadec; Francesca Franzon; Marco Baroni (CoRR, 2024)

From Tools to Teammates: Evaluating LLMs in Multi-Session Coding Interactions. - Nathanaël Carraz Rakotonirina; Mohammed Hamdy; Jon Ander Campos; Lucas Weber; Alberto Testoni; Marzieh Fadaee; Sandro Pezzelle; Marco Del Tredici (ACL (1), 2025)

Optimizing With Low Budgets: A Comparison on the Black-Box Optimization Benchmarking Suite and OpenAI Gym. - Elena Raponi; Nathanaël Carraz Rakotonirina; Jérémy Rapin; Carola Doerr; Olivier Teytaud (IEEE Trans. Evol. Comput., 2025)