activity
20062025
most citedLingvo: a Modular and Scalable Framework for Sequence-to-Sequence Modeling

184 citations · 214 across the 6 of their papers we have counts for

collaborators

6 papers

cs.DS2025

Strassen Matrix Multiplication from a 3-dimensional Volume Form

Benoit Jacob

The Strassen matrix multiplication algorithm arises from the volume form on the 3-dimensional quotient space of the matrices by the multiples of identity.

cs.LG2019★ 184 cited

Lingvo: a Modular and Scalable Framework for Sequence-to-Sequence Modeling

Jonathan Shen, Patrick Nguyen, Yonghui Wu +88

Lingvo is a Tensorflow framework offering a complete solution for collaborative deep learning research, with a particular focus towards sequence-to-sequence models. Lingvo models a…

cs.LG2017★ 28 cited

Quantization and Training of Neural Networks for Efficient Integer-Arithmetic-Only Inference

Benoit Jacob, Skirmantas Kligys, Bo Chen +5

The rising popularity of intelligent mobile devices and the daunting computational cost of deep learning-based models call for efficient and accurate on-device inference schemes. W…

math.GN2009★ 1 cited

On perturbations of continuous maps

Benoit Jacob

We give sufficient conditions for the following problem: given a topological space X, a metric space Y, a subspace Z of Y, and a continuous map f from X to Y, is it possible, by ap…

math.SP2009

Hessenberg decomposition of matrix fields and bounded operator fields

Benoit Jacob

Hessenberg decomposition is the basic tool used in computational linear algebra to approximate the eigenvalues of a matrix. In this article, we generalize Hessenberg decomposition…

math.OA2006★ 1 cited

Bost-Connes type systems for function fields

Benoît Jacob

We describe a construction which associates to any function field and any place of a -dynamical system that is analogous to the Bost-Conn…