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PHom-GeM: Persistent Homology for Generative Models

PHom-GeM: Persistent Homology for Generative Models

Swiss Conference on Data Science (SDS), 2019
23 May 2019
Jérémy Charlier
R. State
Jean Hilger
    GAN
ArXiv (abs)PDFHTML

Papers citing "PHom-GeM: Persistent Homology for Generative Models"

5 / 5 papers shown
Towards Scalable Topological Regularizers
Towards Scalable Topological RegularizersInternational Conference on Learning Representations (ICLR), 2025
Hiu-Tung Wong
Darrick Lee
Hong Yan
BDL
422
1
0
24 Jan 2025
PI-Att: Topology Attention for Segmentation Networks through Adaptive
  Persistence Image Representation
PI-Att: Topology Attention for Segmentation Networks through Adaptive Persistence Image Representation
Mehmet Bahadir Erden
S. Unver
I. A. Gurses
R. Turkay
C. Gunduz-Demir
257
0
0
15 Aug 2024
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
228
7
0
18 Oct 2020
From Persistent Homology to Reinforcement Learning with Applications for
  Retail Banking
From Persistent Homology to Reinforcement Learning with Applications for Retail Banking
Jérémy Charlier
131
1
0
23 Nov 2019
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 HomologyIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2019
J. Clough
Nicholas Byrne
Ilkay Oksuz
Zhenzhong Lan
Julia A. Schnabel
A. King
319
287
0
04 Oct 2019
1
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