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PHom-GeM: Persistent Homology for Generative Models

PHom-GeM: Persistent Homology for Generative Models

23 May 2019
Jérémy Charlier
R. State
Jean Hilger
    GAN
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Papers citing "PHom-GeM: Persistent Homology for Generative Models"

3 / 3 papers shown
Title
Towards Scalable Topological Regularizers
Towards Scalable Topological Regularizers
Hiu-Tung Wong
Darrick Lee
Hong Yan
BDL
67
0
0
24 Jan 2025
Characterizing the Latent Space of Molecular Deep Generative Models with
  Persistent Homology Metrics
Characterizing the Latent Space of Molecular Deep Generative Models with Persistent Homology Metrics
Yair Schiff
Vijil Chenthamarakshan
Karthikeyan N. Ramamurthy
Payel Das
BDL
32
6
0
18 Oct 2020
A Topological Loss Function for Deep-Learning based Image Segmentation
  using Persistent Homology
A Topological Loss Function for Deep-Learning based Image Segmentation using Persistent Homology
J. Clough
Nicholas Byrne
Ilkay Oksuz
Zhenzhong Lan
Julia A. Schnabel
A. King
36
219
0
04 Oct 2019
1