Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Tauzin, Guillaume"'
Autor:
Buzzicotti, Michele, Tauzin, Guillaume
Publikováno v:
Phys. Rev. E 104, 015302 (2021)
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. ELBM is a promising mesoscopic model particularly interesting for the
Externí odkaz:
http://arxiv.org/abs/2101.09466
Autor:
Tauzin, Guillaume, Lupo, Umberto, Tunstall, Lewis, Pérez, Julian Burella, Caorsi, Matteo, Reise, Wojciech, Medina-Mardones, Anibal, Dassatti, Alberto, Hess, Kathryn
Publikováno v:
NeurIPS 2020 workshop "Topological Data Analysis and beyond" (https://openreview.net/forum?id=fjQtZJOCTXf); JMLR 22 (https://www.jmlr.org/papers/v22/20-325.html)
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++ implementations. The library's ability to handle various types of da
Externí odkaz:
http://arxiv.org/abs/2004.02551
Autor:
Garin, Adélie, Tauzin, Guillaume
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 features using a point cloud obtained from an image, its natural grayscale fi
Externí odkaz:
http://arxiv.org/abs/1910.08345
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 the computation of Steenrod squares, we introduce a new family of comp
Externí odkaz:
http://arxiv.org/abs/1812.05031
Autor:
Tauzin, Guillaume, Biferale, Luca, Sbragaglia, Mauro, Gupta, Abhineet, Toschi, Federico, Bartel, Andreas, Ehrhardt, Matthias
Publikováno v:
Computers and Fluids, 172 (2018) 241-250
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 motion on sub-volumes of different sizes. In the context of 2D isotropic
Externí odkaz:
http://arxiv.org/abs/1809.06735
Publikováno v:
Journal of Applied & Computational Topology; Dec2022, Vol. 6 Issue 4, p475-502, 28p
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Autor:
Garin, Ad��lie, Tauzin, Guillaume
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 features using a point cloud obtained from an image, its natural grayscale fi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1fbf03f2d0e04f6c059a488eafb59ba5
Autor:
Tauzin, Guillaume, Lupo, Umberto, Tunstall, Lewis, Perez, Julian Burella, Caorsi, Matteo, Medina-Mardones, Anibal M., Dassatti, Alberto, Hess, Kathryn
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++ implementations. The library's ability to handle various types of d
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______185::442013cf21ca5be577b4a7496da38cd5
https://infoscience.epfl.ch/record/285196
https://infoscience.epfl.ch/record/285196