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Topology and geometry of data manifold in deep learning

Topology and geometry of data manifold in deep learning

19 April 2022
German Magai
A. Ayzenberg
    AAML
ArXivPDFHTML

Papers citing "Topology and geometry of data manifold in deep learning"

12 / 12 papers shown
Title
Persistent Topological Features in Large Language Models
Persistent Topological Features in Large Language Models
Yuri Gardinazzi
Giada Panerai
Karthik Viswanathan
A. Ansuini
Alberto Cazzaniga
Matteo Biagetti
39
2
0
14 Oct 2024
A Geometric View of Data Complexity: Efficient Local Intrinsic Dimension
  Estimation with Diffusion Models
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
26
11
0
05 Jun 2024
Deep Learning as Ricci Flow
Deep Learning as Ricci Flow
Anthony Baptista
Alessandro Barp
Tapabrata Chakraborti
Chris Harbron
Ben D. MacArthur
Christopher R. S. Banerji
AI4CE
38
0
0
22 Apr 2024
Quantifying Manifolds: Do the manifolds learned by Generative
  Adversarial Networks converge to the real data manifold
Quantifying Manifolds: Do the manifolds learned by Generative Adversarial Networks converge to the real data manifold
Anupam Chaudhuri
Anj Simmons
Mohamed Abdelrazek
13
0
0
08 Mar 2024
Defining Neural Network Architecture through Polytope Structures of
  Dataset
Defining Neural Network Architecture through Polytope Structures of Dataset
Sangmin Lee
Abbas Mammadov
Jong Chul Ye
46
0
0
04 Feb 2024
Intrinsic Dimension Estimation for Robust Detection of AI-Generated
  Texts
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
17
61
0
07 Jun 2023
Data Topology-Dependent Upper Bounds of Neural Network Widths
Data Topology-Dependent Upper Bounds of Neural Network Widths
Sangmin Lee
Jong Chul Ye
13
0
0
25 May 2023
Metric Space Magnitude and Generalisation in Neural Networks
Metric Space Magnitude and Generalisation in Neural Networks
R. Andreeva
K. Limbeck
Bastian Alexander Rieck
Rik Sarkar
OOD
15
6
0
09 May 2023
Singular value decomposition based matrix surgery
Singular value decomposition based matrix surgery
Jehan Ghafuri
S. Jassim
9
0
0
22 Feb 2023
The Intrinsic Dimension of Images and Its Impact on Learning
The Intrinsic Dimension of Images and Its Impact on Learning
Phillip E. Pope
Chen Zhu
Ahmed Abdelkader
Micah Goldblum
Tom Goldstein
180
256
0
18 Apr 2021
Deep Networks and the Multiple Manifold Problem
Deep Networks and the Multiple Manifold Problem
Sam Buchanan
D. Gilboa
John N. Wright
166
35
0
25 Aug 2020
CelebA-Spoof: Large-Scale Face Anti-Spoofing Dataset with Rich
  Annotations
CelebA-Spoof: Large-Scale Face Anti-Spoofing Dataset with Rich Annotations
Yuanhan Zhang
Zhen-fei Yin
Yidong Li
Guojun Yin
Junjie Yan
Jing Shao
Ziwei Liu
CVBM
42
158
0
24 Jul 2020
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