activity
20182021
most citedgiotto-tda: A Topological Data Analysis Toolkit for Machine Learning and Data Exploration

53 citations · 63 across the 4 of their papers we have counts for

collaborators

5 papers

physics.flu-dyn2021★ 7 cited

Inertial range statistics of the Entropic Lattice Boltzmann in 3D turbulence

Michele Buzzicotti, Guillaume Tauzin

We present a quantitative analysis of the inertial range statistics produced by Entropic Lattice Boltzmann Method (ELBM) in the context of 3d homogeneous and isotropic turbulence.…

cs.LG2020★ 53 cited

giotto-tda: A Topological Data Analysis Toolkit for Machine Learning and Data Exploration

Guillaume Tauzin, Umberto Lupo, Lewis Tunstall +6

We introduce giotto-tda, a Python library that integrates high-performance topological data analysis with machine learning via a scikit-learn-compatible API and state-of-the-art C+…

cs.LG2019

A Topological "Reading" Lesson: Classification of MNIST using TDA

Adélie Garin, Guillaume Tauzin

We present a way to use Topological Data Analysis (TDA) for machine learning tasks on grayscale images. We apply persistent homology to generate a wide range of topological feature…

math.AT2018

Persistence Steenrod modules

Umberto Lupo, Anibal M. Medina-Mardones, Guillaume Tauzin

It has long been envisioned that the strength of the barcode invariant of filtered cellular complexes could be increased using cohomology operations. Leveraging recent advances in…

physics.comp-ph2018★ 3 cited

A numerical tool for the study of the hydrodynamic recovery of the Lattice Boltzmann Method

Guillaume Tauzin, Luca Biferale, Mauro Sbragaglia +4

We investigate the hydrodynamic recovery of Lattice Boltzmann Method (LBM) by analyzing exact balance relations for energy and enstrophy derived from averaging the equations of mot…