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2007.01850
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Variational Autoencoders for Anomalous Jet Tagging
3 July 2020
Taoli Cheng
J. Arguin
Julien Leissner-Martin
Jacinthe Pilette
J. A. Raine
CML
BDL
DRL
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Papers citing
"Variational Autoencoders for Anomalous Jet Tagging"
31 / 31 papers shown
Anomaly detection with spiking neural networks for LHC physics
Barry M. Dillon
Jim Harkin
Aqib Javed
170
1
0
31 Jul 2025
Tensor Network for Anomaly Detection in the Latent Space of Proton Collision Events at the LHC
E. Puljak
M. Pierini
Artur Garcia-Saez
269
4
0
30 May 2025
TRANSIT your events into a new mass: Fast background interpolation for weakly-supervised anomaly searches
Ivan Oleksiyuk
Svyatoslav Voloshynovskiy
Tobias Golling
DiffM
408
0
0
06 Mar 2025
AI-based particle track identification in scintillating fibres read out with imaging sensors
Journal of Instrumentation (JINST), 2024
Noemi Bührer
Saúl Alonso-Monsalve
Matthew Franks
Till Dieminger
D. Sgalaberna
313
1
0
14 Oct 2024
Machine Learning for Anomaly Detection in Particle Physics
Vasilis Belis
Patrick Odagiu
Thea Klæboe Årrestad
280
77
0
20 Dec 2023
Improving new physics searches with diffusion models for event observables and jet constituents
Journal of High Energy Physics (JHEP), 2023
Debajyoti Sengupta
Matthew Leigh
C. Pollard
Samuel Klein
J. A. Raine
DiffM
418
17
0
15 Dec 2023
Deep Generative Models for Detector Signature Simulation: A Taxonomic Review
Reviews in Physics (RP), 2023
Baran Hashemi
Claudius Krause
435
34
0
15 Dec 2023
Triggering Dark Showers with Conditional Dual Auto-Encoders
Luca Anzalone
S. S. Chhibra
B. Maier
N. Chernyavskaya
M. Pierini
AI4CE
264
4
0
22 Jun 2023
Differentiable Earth Mover's Distance for Data Compression at the High-Luminosity LHC
Rohan Shenoy
Javier Mauricio Duarte
C. Herwig
J. Hirschauer
D. Noonan
M. Pierini
Nhan Tran
C. Suarez
453
4
0
07 Jun 2023
High-precision regressors for particle physics
Scientific Reports (Sci Rep), 2023
F. Bishara
A. Paul
Jennifer Dy
PINN
AI4CE
223
3
0
02 Feb 2023
Versatile Energy-Based Probabilistic Models for High Energy Physics
Neural Information Processing Systems (NeurIPS), 2023
Taoli Cheng
Aaron Courville
DiffM
521
1
0
01 Feb 2023
Anomalies, Representations, and Self-Supervision
SciPost Physics Core (SPC), 2023
B. Dillon
Luigi Favaro
Friedrich Feiden
Tanmoy Modak
Tilman Plehn
223
17
0
11 Jan 2023
Lorentz group equivariant autoencoders
Zichun Hao
Raghav Kansal
Javier Mauricio Duarte
N. Chernyavskaya
BDL
DRL
AI4CE
338
32
0
14 Dec 2022
IRC-safe Graph Autoencoder for unsupervised anomaly detection
Frontiers in Artificial Intelligence (FAI), 2022
Oliver Atkinson
Akanksha Bhardwaj
C. Englert
P. Konar
Vishal S. Ngairangbam
M. Spannowsky
232
30
0
26 Apr 2022
"Flux+Mutability": A Conditional Generative Approach to One-Class Classification and Anomaly Detection
C. Fanelli
James Giroux
Z. Papandreou
AI4CE
252
17
0
19 Apr 2022
Learning new physics efficiently with nonparametric methods
Marco Letizia
Gianvito Losapio
Marco Rando
Gaia Grosso
A. Wulzer
M. Pierini
M. Zanetti
Lorenzo Rosasco
OOD
349
40
0
05 Apr 2022
Data-driven detector signal characterization with constrained bottleneck autoencoders
Journal of Instrumentation (JINST), 2022
C. Jesús-Valls
Thorsten Lux
Federico Sánchez
311
1
0
09 Mar 2022
Autoencoders for Semivisible Jet Detection
Journal of High Energy Physics (JHEP), 2021
F. Canelli
A. de Cosa
L. Le Pottier
J. Niedziela
K. Pedro
M. Pierini
260
37
0
06 Dec 2021
Particle Graph Autoencoders and Differentiable, Learned Energy Mover's Distance
S. Tsan
Raghav Kansal
Anthony Aportela
Daniel Madrigal Diaz
Javier Mauricio Duarte
S. Krishna
Farouk Mokhtar
J. Vlimant
M. Pierini
208
23
0
24 Nov 2021
Online-compatible Unsupervised Non-resonant Anomaly Detection
Vinicius Mikuni
Benjamin Nachman
David Shih
239
42
0
11 Nov 2021
Challenges for Unsupervised Anomaly Detection in Particle Physics
Katherine Fraser
S. Homiller
Rashmish K. Mishra
B. Ostdiek
M. Schwartz
DRL
209
51
0
13 Oct 2021
An Exploration of Learnt Representations of W Jets
J. Collins
DRL
349
16
0
22 Sep 2021
Latent Space Refinement for Deep Generative Models
R. Winterhalder
Marco Bellagente
Benjamin Nachman
BDL
GAN
DRL
DiffM
371
28
0
01 Jun 2021
Autoencoders for unsupervised anomaly detection in high energy physics
Journal of High Energy Physics (JHEP), 2021
Thorben Finke
Michael Krämer
A. Morandini
A. Mück
I. Oleksiyuk
263
106
0
19 Apr 2021
Better Latent Spaces for Better Autoencoders
SciPost Physics (SciPost Phys.), 2021
B. Dillon
Tilman Plehn
C. Sauer
P. Sorrenson
BDL
DRL
214
61
0
16 Apr 2021
Comparing Weak- and Unsupervised Methods for Resonant Anomaly Detection
J. Collins
P. Martín-Ramiro
Benjamin Nachman
David Shih
320
51
0
05 Apr 2021
Bump Hunting in Latent Space
Blaž Bortolato
B. Dillon
J. Kamenik
Aleks Smolkovič
DRL
376
47
0
11 Mar 2021
Topological Obstructions to Autoencoding
Journal of High Energy Physics (JHEP), 2021
Joshua D. Batson
C. G. Haaf
Yonatan Kahn
Daniel A. Roberts
AI4CE
356
43
0
16 Feb 2021
A Living Review of Machine Learning for Particle Physics
Matthew Feickert
Benjamin Nachman
KELM
AI4CE
249
227
0
02 Feb 2021
Simulation-Assisted Decorrelation for Resonant Anomaly Detection
K. Benkendorfer
L. Le Pottier
Benjamin Nachman
OOD
192
54
0
04 Sep 2020
Anomaly Awareness
Charanjit K. Khosa
V. Sanz
343
27
0
20 Jul 2020
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