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Topological Obstructions to Autoencoding
16 February 2021
Joshua D. Batson
C. G. Haaf
Yonatan Kahn
Daniel A. Roberts
AI4CE
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Papers citing
"Topological Obstructions to Autoencoding"
9 / 9 papers shown
Title
TRANSIT your events into a new mass: Fast background interpolation for weakly-supervised anomaly searches
Ivan Oleksiyuk
Svyatoslav Voloshynovskiy
Tobias Golling
DiffM
98
0
0
06 Mar 2025
Machine Learning in the Search for New Fundamental Physics
G. Karagiorgi
Gregor Kasieczka
S. Kravitz
Benjamin Nachman
David Shih
AI4CE
90
117
0
07 Dec 2021
Online-compatible Unsupervised Non-resonant Anomaly Detection
Vinicius Mikuni
Benjamin Nachman
David Shih
72
35
0
11 Nov 2021
Challenges for Unsupervised Anomaly Detection in Particle Physics
Katherine Fraser
S. Homiller
Rashmish K. Mishra
B. Ostdiek
M. Schwartz
DRL
71
45
0
13 Oct 2021
The Dark Machines Anomaly Score Challenge: Benchmark Data and Model Independent Event Classification for the Large Hadron Collider
T. Aarrestad
M. Beekveld
M. Bona
A. Boveia
S. Caron
...
M. White
E. Wulff
E. Wallin
K. Wozniak
Z. Zhang
95
83
0
28 May 2021
Autoencoders for unsupervised anomaly detection in high energy physics
Thorben Finke
Michael Krämer
A. Morandini
A. Mück
I. Oleksiyuk
94
84
0
19 Apr 2021
Better Latent Spaces for Better Autoencoders
B. Dillon
Tilman Plehn
C. Sauer
P. Sorrenson
BDL
DRL
67
55
0
16 Apr 2021
Comparing Weak- and Unsupervised Methods for Resonant Anomaly Detection
J. Collins
P. Martín-Ramiro
Benjamin Nachman
David Shih
85
45
0
05 Apr 2021
Sampling using
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U
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SU(N)
S
U
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gauge equivariant flows
D. Boyda
G. Kanwar
S. Racanière
Danilo Jimenez Rezende
M. S. Albergo
Kyle Cranmer
D. Hackett
P. Shanahan
92
129
0
12 Aug 2020
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