Scikit-dimension: a Python package for intrinsic dimension estimation

Scikit-dimension: a Python package for intrinsic dimension estimation

6 September 2021

Evgeny M. Mirkes

Alexander N. Gorban

Papers citing "Scikit-dimension: a Python package for intrinsic dimension estimation"

12 / 12 papers shown

Title
Beyond Flatland: A Geometric Take on Matching Methods for Treatment Effect Estimation Melanie F. Pradier Javier González CML 50 0 0 09 Sep 2024
Dimensionality-Aware Outlier Detection: Theoretical and Experimental Analysis Alastair Anderberg James Bailey R. Campello Michael E. Houle Henrique O. Marques Milovs Radovanović Arthur Zimek 44 0 0 10 Jan 2024
Deep neural networks architectures from the perspective of manifold learning German Magai AAML AI4CE 35 6 0 06 Jun 2023
Exploring Representational Disparities Between Multilingual and Bilingual Translation Models Neha Verma Kenton W. Murray Kevin Duh 21 0 0 23 May 2023
Information-Ordered Bottlenecks for Adaptive Semantic Compression Matthew Ho Xiao-Fen Zhao Benjamin Dan Wandelt 23 5 0 18 May 2023
Intrinsic Dimensionality Estimation within Tight Localities: A Theoretical and Experimental Analysis Laurent Amsaleg Oussama Chelly Michael E. Houle Ken-ichi Kawarabayashi Miloš Radovanović Weeris Treeratanajaru 36 50 0 29 Sep 2022
Impact of dataset size and long-term ECoG-based BCI usage on deep learning decoders performance Maciej Śliwowski Matthieu Martin Antoine Souloumiac P. Blanchart T. Aksenova 29 6 0 08 Sep 2022
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 19 15 0 28 Aug 2022
LIDL: Local Intrinsic Dimension Estimation Using Approximate Likelihood Piotr Tempczyk Rafał Michaluk Łukasz Garncarek Przemysław Spurek Jacek Tabor Adam Goliñski 35 26 0 29 Jun 2022
Topology and geometry of data manifold in deep learning German Magai A. Ayzenberg AAML 26 11 0 19 Apr 2022
Quasi-orthogonality and intrinsic dimensions as measures of learning and generalisation Qinghua Zhou Alexander N. Gorban Evgeny M. Mirkes Jonathan Bac A. Zinovyev I. Tyukin 28 2 0 30 Mar 2022
Sparse Subspace Clustering for Concept Discovery (SSCCD) Johanna Vielhaben Stefan Blücher Nils Strodthoff 27 6 0 11 Mar 2022