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Robust And Scalable Learning Of Complex Dataset Topologies Via Elpigraph
v1v2 (latest)

Robust And Scalable Learning Of Complex Dataset Topologies Via Elpigraph

20 April 2018
L. Albergante
Evgeny M. Mirkes
Huidong Chen
Alexis Martin
Louis Faure
E. Barillot
Luca Pinello
Alexander N. Gorban
A. Zinovyev
ArXiv (abs)PDFHTML

Papers citing "Robust And Scalable Learning Of Complex Dataset Topologies Via Elpigraph"

5 / 5 papers shown
Title
Rosenblatt's first theorem and frugality of deep learning
Rosenblatt's first theorem and frugality of deep learning
Alexander Kirdin
Sergey V. Sidorov
N. Zolotykh
29
3
0
29 Aug 2022
Domain Adaptation Principal Component Analysis: base linear method for
  learning with out-of-distribution data
Domain Adaptation Principal Component Analysis: base linear method for learning with out-of-distribution data
Evgeny M Mirkes
Jonathan Bac
Aziz Fouché
Sergey V. Stasenko
A. Zinovyev
Alexander N. Gorban
OOD
49
15
0
28 Aug 2022
Scikit-dimension: a Python package for intrinsic dimension estimation
Scikit-dimension: a Python package for intrinsic dimension estimation
Jonathan Bac
Evgeny M. Mirkes
Alexander N. Gorban
I. Tyukin
A. Zinovyev
98
84
0
06 Sep 2021
High-dimensional separability for one- and few-shot learning
High-dimensional separability for one- and few-shot learning
Alexander N. Gorban
Bogdan Grechuk
Evgeny M. Mirkes
Sergey V. Stasenko
I. Tyukin
DRL
85
23
0
28 Jun 2021
Trajectories, bifurcations and pseudotime in large clinical datasets:
  applications to myocardial infarction and diabetes data
Trajectories, bifurcations and pseudotime in large clinical datasets: applications to myocardial infarction and diabetes data
S. E. Golovenkin
Jonathan Bac
A. Chervov
Evgeny M. Mirkes
Y. Orlova
E. Barillot
A. Gorban
A. Zinovyev
55
42
0
07 Jul 2020
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