activity
20162024
most citedRegularized Optimal Transport and the Rot Mover's Distance

23 citations · 33 across the 5 of their papers we have counts for

collaborators

5 papers

cs.AR2024★ 3 cited

Systolic Arrays and Structured Pruning Co-design for Efficient Transformers in Edge Systems

Pedro Palacios, Rafael Medina, Jean-Luc Rouas +2

Efficient deployment of resource-intensive transformers on edge devices necessitates cross-stack optimization. We thus study the interrelation between structured pruning and systol…

cs.CL2024

Conditioning LLMs with Emotion in Neural Machine Translation

Charles Brazier, Jean-Luc Rouas

Large Language Models (LLMs) have shown remarkable performance in Natural Language Processing tasks, including Machine Translation (MT). In this work, we propose a novel MT pipelin…

cs.CL2024

Usefulness of Emotional Prosody in Neural Machine Translation

Charles Brazier, Jean-Luc Rouas

Neural Machine Translation (NMT) is the task of translating a text from one language to another with the use of a trained neural network. Several existing works aim at incorporatin…

cs.CL2019★ 7 cited

End-to-End Speech Recognition: A review for the French Language

Florian Boyer, Jean-Luc Rouas

Recently, end-to-end ASR based either on sequence-to-sequence networks or on the CTC objective function gained a lot of interest from the community, achieving competitive results o…

stat.ML2016★ 23 cited

Regularized Optimal Transport and the Rot Mover's Distance

Arnaud Dessein, Nicolas Papadakis, Jean-Luc Rouas

This paper presents a unified framework for smooth convex regularization of discrete optimal transport problems. In this context, the regularized optimal transport turns out to be…