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Challenges for Unsupervised Anomaly Detection in Particle Physics

Challenges for Unsupervised Anomaly Detection in Particle Physics

13 October 2021
Katherine Fraser
S. Homiller
Rashmish K. Mishra
B. Ostdiek
M. Schwartz
    DRL
ArXivPDFHTML

Papers citing "Challenges for Unsupervised Anomaly Detection in Particle Physics"

14 / 14 papers shown
Title
TRANSIT your events into a new mass: Fast background interpolation for weakly-supervised anomaly searches
Ivan Oleksiyuk
S. Voloshynovskiy
Tobias Golling
DiffM
41
0
0
06 Mar 2025
AI-based particle track identification in scintillating fibres read out with imaging sensors
AI-based particle track identification in scintillating fibres read out with imaging sensors
Noemi Bührer
Saúl Alonso-Monsalve
Matthew Franks
Till Dieminger
D. Sgalaberna
21
0
0
14 Oct 2024
Improving new physics searches with diffusion models for event
  observables and jet constituents
Improving new physics searches with diffusion models for event observables and jet constituents
Debajyoti Sengupta
Matthew Leigh
J. A. Raine
Samuel Klein
T. Golling
DiffM
32
15
0
15 Dec 2023
Deep Generative Models for Detector Signature Simulation: A Taxonomic
  Review
Deep Generative Models for Detector Signature Simulation: A Taxonomic Review
Baran Hashemi
Claudius Krause
24
16
0
15 Dec 2023
Triggering Dark Showers with Conditional Dual Auto-Encoders
Triggering Dark Showers with Conditional Dual Auto-Encoders
Luca Anzalone
S. S. Chhibra
B. Maier
N. Chernyavskaya
M. Pierini
AI4CE
14
4
0
22 Jun 2023
Unsupervised Anomaly Detection via Nonlinear Manifold Learning
Unsupervised Anomaly Detection via Nonlinear Manifold Learning
Amin Yousefpour
Mehdi Shishehbor
Zahra Zanjani Foumani
Ramin Bostanabad
11
8
0
15 Jun 2023
Anomalies, Representations, and Self-Supervision
Anomalies, Representations, and Self-Supervision
B. Dillon
Luigi Favaro
Friedrich Feiden
Tanmoy Modak
Tilman Plehn
13
5
0
11 Jan 2023
Machine-Learning Compression for Particle Physics Discoveries
Machine-Learning Compression for Particle Physics Discoveries
J. Collins
Yifeng Huang
S. Knapen
Benjamin Nachman
D. Whiteson
22
4
0
20 Oct 2022
Neural Embedding: Learning the Embedding of the Manifold of Physics Data
Neural Embedding: Learning the Embedding of the Manifold of Physics Data
Sang Eon Park
Philip C. Harris
B. Ostdiek
PINN
DRL
AI4CE
17
16
0
10 Aug 2022
"Flux+Mutability": A Conditional Generative Approach to One-Class
  Classification and Anomaly Detection
"Flux+Mutability": A Conditional Generative Approach to One-Class Classification and Anomaly Detection
C. Fanelli
James Giroux
Z. Papandreou
AI4CE
11
16
0
19 Apr 2022
Machine Learning in the Search for New Fundamental Physics
Machine Learning in the Search for New Fundamental Physics
G. Karagiorgi
Gregor Kasieczka
S. Kravitz
Benjamin Nachman
David Shih
AI4CE
26
113
0
07 Dec 2021
Online-compatible Unsupervised Non-resonant Anomaly Detection
Online-compatible Unsupervised Non-resonant Anomaly Detection
Vinicius Mikuni
Benjamin Nachman
David Shih
14
35
0
11 Nov 2021
An Exploration of Learnt Representations of W Jets
An Exploration of Learnt Representations of W Jets
J. Collins
DRL
11
12
0
22 Sep 2021
Topological Obstructions to Autoencoding
Topological Obstructions to Autoencoding
Joshua D. Batson
C. G. Haaf
Yonatan Kahn
Daniel A. Roberts
AI4CE
31
37
0
16 Feb 2021
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