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

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

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Title
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 56 0 0 17 Feb 2025
Dimensionality-Aware Outlier Detection: Theoretical and Experimental Analysis Alastair Anderberg James Bailey R. Campello Michael E. Houle Henrique O. Marques Milovs Radovanović Arthur Zimek 31 0 0 10 Jan 2024
Bridging Information-Theoretic and Geometric Compression in Language Models Emily Cheng Corentin Kervadec Marco Baroni 24 16 0 20 Oct 2023
LIDL: Local Intrinsic Dimension Estimation Using Approximate Likelihood Piotr Tempczyk Rafał Michaluk Łukasz Garncarek Przemysław Spurek Jacek Tabor Adam Goliñski 28 26 0 29 Jun 2022