no code implementations • 9 Jan 2024 • Alon Ziv, Itai Gat, Gael Le Lan, Tal Remez, Felix Kreuk, Alexandre Défossez, Jade Copet, Gabriel Synnaeve, Yossi Adi
We introduce MAGNeT, a masked generative sequence modeling method that operates directly over several streams of audio tokens.
no code implementations • 23 Mar 2020 • Alon Ziv
A key attribute that drives the unprecedented success of modern Recurrent Neural Networks (RNNs) on learning tasks which involve sequential data, is their ability to model intricate long-term temporal dependencies.
1 code implementation • 25 Oct 2017 • Yoav Levine, Or Sharir, Alon Ziv, Amnon Shashua
A key attribute that drives the unprecedented success of modern Recurrent Neural Networks (RNNs) on learning tasks which involve sequential data, is their ability to model intricate long-term temporal dependencies.