1 code implementation • 31 Jan 2024 • Florian Le Bronnec, Song Duong, Mathieu Ravaut, Alexandre Allauzen, Nancy F. Chen, Vincent Guigue, Alberto Lumbreras, Laure Soulier, Patrick Gallinari
State-space models are a low-complexity alternative to transformers for encoding long sequences and capturing long-term dependencies.
1 code implementation • 22 Feb 2023 • Song Duong, Alberto Lumbreras, Mike Gartrell, Patrick Gallinari
Our model is designed to handle the tasks of D2T and T2D jointly.
1 code implementation • 15 Oct 2021 • Ludovic Denoyer, Alfredo De la Fuente, Song Duong, Jean-Baptiste Gaya, Pierre-Alexandre Kamienny, Daniel H. Thompson
SaLinA is a simple library that makes implementing complex sequential learning models easy, including reinforcement learning algorithms.