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Neuro-symbolic Empowered Denoising Diffusion Probabilistic Models for
  Real-time Anomaly Detection in Industry 4.0

Neuro-symbolic Empowered Denoising Diffusion Probabilistic Models for Real-time Anomaly Detection in Industry 4.0

13 July 2023
Luigi Capogrosso
Alessio Mascolini
Federico Girella
Geri Skenderi
Sebastiano Gaiardelli
Nicola Dall’Ora
Francesco Ponzio
Enrico Fraccaroli
S. D. Cataldo
S. Vinco
Enrico Macii
Franco Fummi
Marco Cristani
    AI4CE
    DiffM
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Papers citing "Neuro-symbolic Empowered Denoising Diffusion Probabilistic Models for Real-time Anomaly Detection in Industry 4.0"

2 / 2 papers shown
Title
Diffusion Models: A Comprehensive Survey of Methods and Applications
Diffusion Models: A Comprehensive Survey of Methods and Applications
Ling Yang
Zhilong Zhang
Yingxia Shao
Shenda Hong
Runsheng Xu
Yue Zhao
Wentao Zhang
Bin Cui
Ming-Hsuan Yang
DiffM
MedIm
208
1,277
0
02 Sep 2022
Understanding Failures in Out-of-Distribution Detection with Deep
  Generative Models
Understanding Failures in Out-of-Distribution Detection with Deep Generative Models
Lily H. Zhang
Mark Goldstein
Rajesh Ranganath
OODD
119
103
0
14 Jul 2021
1