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Principal manifolds and graphs in practice: from molecular biology to dynamical systems
7 January 2010
A. N. Gorban
A. Zinovyev
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Papers citing
"Principal manifolds and graphs in practice: from molecular biology to dynamical systems"
9 / 9 papers shown
Title
Leveraging Interpolation Models and Error Bounds for Verifiable Scientific Machine Learning
Tyler Chang
Andrew Gillette
R. Maulik
227
4
0
04 Apr 2024
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
Alexander N. Gorban
Bogdan Grechuk
Evgeny M. Mirkes
Sergey V. Stasenko
I. Tyukin
DRL
78
23
0
28 Jun 2021
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
High--Dimensional Brain in a High-Dimensional World: Blessing of Dimensionality
A. Gorban
V. A. Makarov
Ivan Y. Tyukin
57
38
0
14 Jan 2020
The unreasonable effectiveness of small neural ensembles in high-dimensional brain
A. N. Gorban
V. Makarov
I. Tyukin
51
52
0
20 Sep 2018
Robust And Scalable Learning Of Complex Dataset Topologies Via Elpigraph
L. Albergante
Evgeny M. Mirkes
Huidong Chen
Alexis Martin
Louis Faure
E. Barillot
Luca Pinello
Alexander N. Gorban
A. Zinovyev
46
56
0
20 Apr 2018
Blessing of dimensionality: mathematical foundations of the statistical physics of data
A. N. Gorban
I. Tyukin
95
150
0
10 Jan 2018
Geometrical complexity of data approximators
E. M. Mirkes
A. Zinovyev
A. N. Gorban
44
8
0
11 Feb 2013
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