LIDL: Local Intrinsic Dimension Estimation Using Approximate Likelihood

LIDL: Local Intrinsic Dimension Estimation Using Approximate Likelihood

29 June 2022

Rafał Michaluk

Łukasz Garncarek

Przemysław Spurek

Papers citing "LIDL: Local Intrinsic Dimension Estimation Using Approximate Likelihood"

15 / 15 papers shown

Title
A Geometric Framework for Understanding Memorization in Generative Models Brendan Leigh Ross Hamidreza Kamkari Tongzi Wu Rasa Hosseinzadeh Zhaoyan Liu George Stein Jesse C. Cresswell G. Loaiza-Ganem 40 6 0 31 Oct 2024
A Wiener process perspective on local intrinsic dimension estimation methods Piotr Tempczyk Łukasz Garncarek Dominik Filipiak Adam Kurpisz 29 1 0 24 Jun 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 G. Loaiza-Ganem DiffM 32 11 0 05 Jun 2024
On gauge freedom, conservativity and intrinsic dimensionality estimation in diffusion models Christian Horvat J. Pfister DiffM 13 8 0 06 Feb 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 31 0 0 10 Jan 2024
Adversarial Estimation of Topological Dimension with Harmonic Score Maps Eric C. Yeats Cameron Darwin Frank Liu Hai Li 13 2 0 11 Dec 2023
A survey of manifold learning and its applications for multimedia Hannes Fassold 34 1 0 08 Sep 2023
One-Line-of-Code Data Mollification Improves Optimization of Likelihood-based Generative Models Ba-Hien Tran Giulio Franzese Pietro Michiardi Maurizio Filippone DiffM 23 3 0 30 May 2023
Denoising Deep Generative Models G. Loaiza-Ganem Brendan Leigh Ross Luhuan Wu John P. Cunningham Jesse C. Cresswell Anthony L. Caterini DiffM 24 5 0 30 Nov 2022
Relating Regularization and Generalization through the Intrinsic Dimension of Activations Bradley Brown Jordan Juravsky Anthony L. Caterini G. Loaiza-Ganem 28 3 0 23 Nov 2022
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 31 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 20 6 0 08 Sep 2022
Verifying the Union of Manifolds Hypothesis for Image Data Bradley Brown Anthony L. Caterini Brendan Leigh Ross Jesse C. Cresswell G. Loaiza-Ganem 19 39 0 06 Jul 2022
Spread Flows for Manifold Modelling Mingtian Zhang Yitong Sun Chen Zhang Steven G. McDonagh AI4CE 15 2 0 29 Sep 2021
The Intrinsic Dimension of Images and Its Impact on Learning Phillip E. Pope Chen Zhu Ahmed Abdelkader Micah Goldblum Tom Goldstein 189 259 0 18 Apr 2021