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IRC-safe Graph Autoencoder for unsupervised anomaly detection

IRC-safe Graph Autoencoder for unsupervised anomaly detection

26 April 2022
Oliver Atkinson
Akanksha Bhardwaj
C. Englert
P. Konar
Vishal S. Ngairangbam
M. Spannowsky
ArXivPDFHTML

Papers citing "IRC-safe Graph Autoencoder for unsupervised anomaly detection"

7 / 7 papers shown
Title
Moments of Clarity: Streamlining Latent Spaces in Machine Learning using
  Moment Pooling
Moments of Clarity: Streamlining Latent Spaces in Machine Learning using Moment Pooling
Rikab Gambhir
Athis Osathapan
Jesse Thaler
30
3
0
13 Mar 2024
High-dimensional and Permutation Invariant Anomaly Detection
High-dimensional and Permutation Invariant Anomaly Detection
Vinicius Mikuni
Benjamin Nachman
DiffM
19
16
0
06 Jun 2023
Versatile Energy-Based Probabilistic Models for High Energy Physics
Versatile Energy-Based Probabilistic Models for High Energy Physics
Taoli Cheng
Aaron Courville
DiffM
17
0
0
01 Feb 2023
Anomalies, Representations, and Self-Supervision
Anomalies, Representations, and Self-Supervision
B. Dillon
Luigi Favaro
Friedrich Feiden
Tanmoy Modak
Tilman Plehn
21
9
0
11 Jan 2023
Lorentz group equivariant autoencoders
Lorentz group equivariant autoencoders
Zichun Hao
Raghav Kansal
Javier Mauricio Duarte
N. Chernyavskaya
BDL
DRL
AI4CE
23
23
0
14 Dec 2022
Jet tagging algorithm of graph network with HaarPooling message passing
Jet tagging algorithm of graph network with HaarPooling message passing
Fei Ma
Feiyi Liu
Wei Li
6
13
0
25 Oct 2022
PointNet: Deep Learning on Point Sets for 3D Classification and
  Segmentation
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
C. Qi
Hao Su
Kaichun Mo
Leonidas J. Guibas
3DH
3DPC
3DV
PINN
222
14,099
0
02 Dec 2016
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