Scikit-dimension: a Python package for intrinsic dimension estimation

6 September 2021

Jonathan Bac

Evgeny M. Mirkes

Alexander N. Gorban

I. Tyukin

A. Zinovyev

ArXiv (abs)PDF HTML Github (89★)

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

32 / 32 papers shown

Title
$When fractional quasi p-norms concentrate$ When fractional quasi p-norms concentrate Ivan Y. Tyukin Bogdan Grechuk Evgeny M. Mirkes A. Gorban 14 0 0 26 May 2025
A Novel Approach for Intrinsic Dimension Estimation Kadir Özçoban Murat Manguoğlu Emrullah Fatih Yetkin 69 0 0 13 Mar 2025
Analyzing Deep Transformer Models for Time Series Forecasting via Manifold Learning Ilya Kaufman Omri Azencot AI4TS 67 3 0 17 Oct 2024
Robust estimation of the intrinsic dimension of data sets with quantum cognition machine learning Luca Candelori Alexander G. Abanov Jeffrey Berger Cameron J. Hogan Vahagn Kirakosyan ... Ryan Samson James E. T. Smith Dario Villani Martin T. Wells Mengjia Xu 64 1 0 19 Sep 2024
Beyond Flatland: A Geometric Take on Matching Methods for Treatment Effect Estimation Melanie F. Pradier Javier González CML 92 0 0 09 Sep 2024
Density Estimation via Binless Multidimensional Integration Matteo Carli Alex Rodriguez Alessandro Laio Aldo Glielmo 121 1 0 10 Jul 2024
A Geometric View of Data Complexity: Efficient Local Intrinsic Dimension Estimation with Diffusion Models Hamidreza Kamkari Brendan Leigh Ross Rasa Hosseinzadeh Jesse C. Cresswell Gabriel Loaiza-Ganem DiffM 94 16 0 05 Jun 2024
A Geometric Explanation of the Likelihood OOD Detection Paradox Hamidreza Kamkari Brendan Leigh Ross Jesse C. Cresswell Anthony L. Caterini Rahul G. Krishnan Gabriel Loaiza-Ganem OODD 101 12 0 27 Mar 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 117 0 0 10 Jan 2024
Adversarial Estimation of Topological Dimension with Harmonic Score Maps Eric C. Yeats Cameron Darwin Frank Liu Hai Li 95 2 0 11 Dec 2023
Impact of time and note duration tokenizations on deep learning symbolic music modeling Nathan Fradet Nicolas Gutowski F. Chhel Jean-Pierre Briot 86 8 0 12 Oct 2023
Relative intrinsic dimensionality is intrinsic to learning Oliver J. Sutton Qinghua Zhou Alexander N. Gorban I. Tyukin 143 3 0 10 Oct 2023
Understanding the Structure of QM7b and QM9 Quantum Mechanical Datasets Using Unsupervised Learning Julio J. Valdés A. Tchagang 35 3 0 25 Sep 2023
Indexing Irises by Intrinsic Dimension J. M. Rozmus CVBM 16 0 0 01 Sep 2023
Simulation-based Inference for High-dimensional Data using Surjective Sequential Neural Likelihood Estimation Simon Dirmeier Carlo Albert Fernando Perez-Cruz 134 7 0 02 Aug 2023
Principal subbundles for dimension reduction M. Akhøj J. Benn E. Grong Stefan Sommer Xavier Pennec 80 1 0 06 Jul 2023
Intrinsic Dimension Estimation for Robust Detection of AI-Generated Texts Eduard Tulchinskii Kristian Kuznetsov Laida Kushnareva D. Cherniavskii S. Barannikov Irina Piontkovskaya Sergey I. Nikolenko Evgeny Burnaev DeLMO 107 89 0 07 Jun 2023
Deep neural networks architectures from the perspective of manifold learning German Magai AAML AI4CE 61 6 0 06 Jun 2023
Exploring Representational Disparities Between Multilingual and Bilingual Translation Models Neha Verma Kenton W. Murray Kevin Duh 72 0 0 23 May 2023
Information-Ordered Bottlenecks for Adaptive Semantic Compression Matthew Ho Xiao-Fen Zhao Benjamin Dan Wandelt 56 5 0 18 May 2023
Autoencoders with Intrinsic Dimension Constraints for Learning Low Dimensional Image Representations Jianzhang Zheng Hao Shen Jian Yang Xuan Tang Mingsong Chen Hui Yu Jielong Guo Xian Wei 34 0 0 16 Apr 2023
Multi-dimensional concept discovery (MCD): A unifying framework with completeness guarantees Johanna Vielhaben Stefan Blücher Nils Strodthoff 81 42 0 27 Jan 2023
A Measure of the Complexity of Neural Representations based on Partial Information Decomposition David A. Ehrlich Andreas C. Schneider V. Priesemann Michael Wibral Abdullah Makkeh 87 18 0 21 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 54 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 53 15 0 28 Aug 2022
The Intrinsic Manifolds of Radiological Images and their Role in Deep Learning Nicholas Konz Han Gu Haoyu Dong Maciej A. Mazurowski AI4CE 48 12 0 06 Jul 2022
LIDL: Local Intrinsic Dimension Estimation Using Approximate Likelihood Piotr Tempczyk Rafał Michaluk Łukasz Garncarek Przemysław Spurek Jacek Tabor Adam Goliñski 110 28 0 29 Jun 2022
Topology and geometry of data manifold in deep learning German Magai A. Ayzenberg AAML 67 11 0 19 Apr 2022
Multi-Sample $ζ$ -mixup: Richer, More Realistic Synthetic Samples from a $p$ -Series Interpolant Kumar Abhishek Colin J. Brown Ghassan Hamarneh 56 2 0 07 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 43 2 0 30 Mar 2022
Sparse Subspace Clustering for Concept Discovery (SSCCD) Johanna Vielhaben Stefan Blücher Nils Strodthoff 62 6 0 11 Mar 2022
intRinsic: an R Package for Model-Based Estimation of the Intrinsic Dimension of a Dataset Francesco Denti 131 6 0 23 Feb 2021