Nathanaël Carraz Rakotonirina

According to our database, Nathanaël Carraz Rakotonirina authored at least 11 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

MemoryPrompt: A Light Wrapper to Improve Context Tracking in Pre-trained Language Models.

Nathanaël Carraz Rakotonirina, Marco Baroni

CoRR, 2024

2023

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

CoRR, 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

CoRR, 2023

Can discrete information extraction prompts generalize across language models?

Nathanaël Carraz Rakotonirina, Roberto Dessì, Fabio Petroni, Sebastian Riedel, Marco Baroni

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Cross-Domain Image Captioning with Discriminative Finetuning.

Roberto Dessì, Michele Bevilacqua, Eleonora Gualdoni, Nathanaël Carraz Rakotonirina, Francesca Franzon, Marco Baroni

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Fairness in generative modeling.

Mariia Zameshina, Olivier Teytaud, Fabien Teytaud, Vlad Hosu, Nathanaël Carraz, Laurent Najman, Markus Wagner

CoRR, 2022

Fairness in generative modeling: do it unsupervised!

Mariia Zameshina, Olivier Teytaud, Fabien Teytaud, Vlad Hosu, Nathanaël Carraz Rakotonirina, Laurent Najman, Markus Wagner

Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Companion Volume, Boston, Massachusetts, USA, July 9, 2022

2021

Self-Attention for Audio Super-Resolution.

Nathanaël Carraz Rakotonirina

Proceedings of the 2021 IEEE 31st International Workshop on Machine Learning for Signal Processing (MLSP), 2021

2020

Tarsier: Evolving Noise Injection in Super-Resolution GANs.

Baptiste Rozière, Nathanaël Carraz Rakotonirina, Vlad Hosu, Andry Rasoanaivo, Hanhe Lin, Camille Couprie, Olivier Teytaud

Proceedings of the 25th International Conference on Pattern Recognition, 2020

ESRGAN+ : Further Improving Enhanced Super-Resolution Generative Adversarial Network.

Nathanaël Carraz Rakotonirina, Andry Rasoanaivo

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Evolutionary super-resolution.

Baptiste Rozière, Nathanaël Carraz Rakotonirina, Vlad Hosu, Hanhe Lin, Andry Rasoanaivo, Olivier Teytaud, Camille Couprie

Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020