Andrés Marafioti

According to our database, Andrés Marafioti authored at least 8 papers between 2019 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

SmolLM2: When Smol Goes Big - Data-Centric Training of a Small Language Model.

Loubna Ben Allal, Anton Lozhkov, Elie Bakouch, Gabriel Martín Blázquez, Guilherme Penedo, Lewis Tunstall, Andrés Marafioti, Hynek Kydlícek, Agustín Piqueres Lajarín, Vaibhav Srivastav, Joshua Lochner, Caleb Fahlgren, Xuan-Son Nguyen, Clémentine Fourrier, Ben Burtenshaw, Hugo Larcher, Haojun Zhao, Cyril Zakka, Mathieu Morlon, Colin Raffel, Leandro von Werra, Thomas Wolf

CoRR, February, 2025

2024

Building and better understanding vision-language models: insights and future directions.

Hugo Laurençon, Andrés Marafioti, Victor Sanh, Léo Tronchon

CoRR, 2024

2021

Time-Frequency Phase Retrieval for Audio - The Effect of Transform Parameters.

Andrés Marafioti, Nicki Holighaus, Piotr Majdak

IEEE Trans. Signal Process., 2021

GACELA: A Generative Adversarial Context Encoder for Long Audio Inpainting of Music.

Andrés Marafioti, Piotr Majdak, Nicki Holighaus, Nathanaël Perraudin

IEEE J. Sel. Top. Signal Process., 2021

CataNet: Predicting Remaining Cataract Surgery Duration.

Andrés Marafioti, Michel Hayoz, Mathias Gallardo, Pablo Márquez-Neila, Sebastian Wolf, Martin Zinkernagel, Raphael Sznitman

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

2020

GACELA - A generative adversarial context encoder for long audio inpainting.

Andrés Marafioti, Piotr Majdak, Nicki Holighaus, Nathanaël Perraudin

CoRR, 2020

2019

A Context Encoder For Audio Inpainting.

Andrés Marafioti, Nathanaël Perraudin, Nicki Holighaus, Piotr Majdak

IEEE ACM Trans. Audio Speech Lang. Process., 2019

Adversarial Generation of Time-Frequency Features with application in audio synthesis.

Andrés Marafioti, Nathanaël Perraudin, Nicki Holighaus, Piotr Majdak

Proceedings of the 36th International Conference on Machine Learning, 2019