Intrinsic Dimensionality Estimation within Tight Localities: A
Theoretical and Experimental Analysis

Intrinsic Dimensionality Estimation within Tight Localities: A Theoretical and Experimental Analysis

29 September 2022

Laurent Amsaleg

Michael E. Houle

Ken-ichi Kawarabayashi

Miloš Radovanović

Weeris Treeratanajaru

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Papers citing "Intrinsic Dimensionality Estimation within Tight Localities: A Theoretical and Experimental Analysis"

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Title
A Novel Approach for Intrinsic Dimension Estimation Kadir Özçoban Murat Manguoğlu Emrullah Fatih Yetkin 73 0 0 13 Mar 2025
Revealing Bias Formation in Deep Neural Networks Through the Geometric Mechanisms of Human Visual Decoupling Yanbiao Ma Bowei Liu Boyuan Gao Wei-Ming Dai Jiayi Chen Shuo Li AI4CE 120 0 0 17 Feb 2025
Unveiling and Mitigating Generalized Biases of DNNs through the Intrinsic Dimensions of Perceptual Manifolds Yanbiao Ma Licheng Jiao Fang Liu Lingling Li Wenping Ma Shuyuan Yang Xu Liu Puhua Chen 79 0 0 22 Apr 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 124 0 0 10 Jan 2024
AI-generated text boundary detection with RoFT Laida Kushnareva T. Gaintseva German Magai S. Barannikov Dmitry Abulkhanov Kristian Kuznetsov Eduard Tulchinskii Irina Piontkovskaya Sergey I. Nikolenko DeLMO 65 7 0 14 Nov 2023
Bridging Information-Theoretic and Geometric Compression in Language Models Emily Cheng Corentin Kervadec Marco Baroni 78 21 0 20 Oct 2023
Understanding the Structure of QM7b and QM9 Quantum Mechanical Datasets Using Unsupervised Learning Julio J. Valdés A. Tchagang 45 3 0 25 Sep 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 111 89 0 07 Jun 2023
Dimensionality of datasets in object detection networks Ajay Chawda A. Vierling Karsten Berns 3DPC 68 0 0 13 Oct 2022
Local Intrinsic Dimensionality Measures for Graphs, with Applications to Graph Embeddings Milovs Savić V. Kurbalija Milovs Radovanović 66 3 0 25 Aug 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
Breaking the curse of dimensionality with Isolation Kernel Kai Ming Ting Takashi Washio Ye Zhu Yang Xu 75 2 0 29 Sep 2021
Local Intrinsic Dimensionality Signals Adversarial Perturbations Sandamal Weerasinghe T. Alpcan S. Erfani C. Leckie Benjamin I. P. Rubinstein AAML 42 0 0 24 Sep 2021
Scikit-dimension: a Python package for intrinsic dimension estimation Jonathan Bac Evgeny M. Mirkes Alexander N. Gorban I. Tyukin A. Zinovyev 112 85 0 06 Sep 2021
MESS: Manifold Embedding Motivated Super Sampling Erik Thordsen Erich Schubert 18 1 0 14 Jul 2021
intRinsic: an R Package for Model-Based Estimation of the Intrinsic Dimension of a Dataset Francesco Denti 143 6 0 23 Feb 2021
Manifold-adaptive dimension estimation revisited Zsigmond Benkő Marcell Stippinger Roberta Rehus A. Bencze D. Fabó B. Hajnal Loránd Eröss A. Telcs Zoltán Somogyvári 29 10 0 07 Aug 2020
ABID: Angle Based Intrinsic Dimensionality Erik Thordsen Erich Schubert 30 8 0 23 Jun 2020
Local intrinsic dimensionality estimators based on concentration of measure Jonathan Bac A. Zinovyev 54 10 0 31 Jan 2020