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Activation Landscapes as a Topological Summary of Neural Network
  Performance

Activation Landscapes as a Topological Summary of Neural Network Performance

19 October 2021
Matthew Wheeler
Jose J. Bouza
Peter Bubenik
ArXivPDFHTML

Papers citing "Activation Landscapes as a Topological Summary of Neural Network Performance"

15 / 15 papers shown
Title
A Relative Homology Theory of Representation in Neural Networks
A Relative Homology Theory of Representation in Neural Networks
Kosio Beshkov
99
0
0
17 Feb 2025
Topology of Out-of-Distribution Examples in Deep Neural Networks
Topology of Out-of-Distribution Examples in Deep Neural Networks
Esha Datta
Johanna Hennig
Eva Domschot
Connor Mattes
Michael R. Smith
72
0
0
21 Jan 2025
MOUNTAINEER: Topology-Driven Visual Analytics for Comparing Local
  Explanations
MOUNTAINEER: Topology-Driven Visual Analytics for Comparing Local Explanations
Parikshit Solunke
Vitória Guardieiro
Joao Rulff
Peter Xenopoulos
G. Chan
Brian Barr
L. G. Nonato
Claudio Silva
32
1
0
21 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
43
0
0
22 Apr 2024
Mixup Barcodes: Quantifying Geometric-Topological Interactions between
  Point Clouds
Mixup Barcodes: Quantifying Geometric-Topological Interactions between Point Clouds
Hubert Wagner
Nickolas Arustamyan
Matthew Wheeler
Peter Bubenik
3DPC
44
1
0
23 Feb 2024
Position: Topological Deep Learning is the New Frontier for Relational
  Learning
Position: Topological Deep Learning is the New Frontier for Relational Learning
Theodore Papamarkou
Tolga Birdal
Michael M. Bronstein
Gunnar Carlsson
Justin Curry
...
Petar Velickovic
Bei Wang
Yusu Wang
Guo-Wei Wei
Ghada Zamzmi
AI4CE
59
25
0
14 Feb 2024
Addressing caveats of neural persistence with deep graph persistence
Addressing caveats of neural persistence with deep graph persistence
Leander Girrbach
Anders Christensen
Ole Winther
Zeynep Akata
A. Sophia Koepke
GNN
18
1
0
20 Jul 2023
Topological Parallax: A Geometric Specification for Deep Perception
  Models
Topological Parallax: A Geometric Specification for Deep Perception Models
Abraham Smith
Michael J. Catanzaro
Gabrielle Angeloro
Nirav Patel
Paul Bendich
16
1
0
20 Jun 2023
Deep neural networks architectures from the perspective of manifold
  learning
Deep neural networks architectures from the perspective of manifold learning
German Magai
AAML
AI4CE
24
6
0
06 Jun 2023
Estimating class separability of text embeddings with persistent
  homology
Estimating class separability of text embeddings with persistent homology
Kostis Gourgoulias
Najah F. Ghalyan
Maxime Labonne
Yash Satsangi
Sean J. Moran
Joseph Sabelja
30
0
0
24 May 2023
Importance attribution in neural networks by means of persistence
  landscapes of time series
Importance attribution in neural networks by means of persistence landscapes of time series
Aina Ferrà
Carles Casacuberta
O. Pujol
AI4TS
50
4
0
06 Feb 2023
Experimental Observations of the Topology of Convolutional Neural
  Network Activations
Experimental Observations of the Topology of Convolutional Neural Network Activations
Emilie Purvine
Davis Brown
Brett Jefferson
C. Joslyn
Brenda Praggastis
Archit Rathore
Madelyn Shapiro
Bei Wang
Youjia Zhou
AI4CE
40
12
0
01 Dec 2022
Topology and geometry of data manifold in deep learning
Topology and geometry of data manifold in deep learning
German Magai
A. Ayzenberg
AAML
19
11
0
19 Apr 2022
TopologyGAN: Topology Optimization Using Generative Adversarial Networks
  Based on Physical Fields Over the Initial Domain
TopologyGAN: Topology Optimization Using Generative Adversarial Networks Based on Physical Fields Over the Initial Domain
Zhenguo Nie
Tong Lin
Haoliang Jiang
L. Kara
AI4CE
100
168
0
05 Mar 2020
Statistical topological data analysis using persistence landscapes
Statistical topological data analysis using persistence landscapes
Peter Bubenik
103
846
0
27 Jul 2012
1