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High-dimensional and Permutation Invariant Anomaly Detection

High-dimensional and Permutation Invariant Anomaly Detection

6 June 2023
Vinicius Mikuni
Benjamin Nachman
    DiffM
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Papers citing "High-dimensional and Permutation Invariant Anomaly Detection"

11 / 11 papers shown
Title
TRANSIT your events into a new mass: Fast background interpolation for weakly-supervised anomaly searches
Ivan Oleksiyuk
Slava Voloshynovskiy
Tobias Golling
DiffM
41
0
0
06 Mar 2025
Variational inference for pile-up removal at hadron colliders with
  diffusion models
Variational inference for pile-up removal at hadron colliders with diffusion models
M. Algren
C. Pollard
J. A. Raine
T. Golling
23
0
0
29 Oct 2024
Unifying Simulation and Inference with Normalizing Flows
Unifying Simulation and Inference with Normalizing Flows
Haoxing Du
Claudius Krause
Vinicius Mikuni
Benjamin Nachman
Ian Pang
David Shih
42
3
0
29 Apr 2024
Full Event Particle-Level Unfolding with Variable-Length Latent Variational Diffusion
Full Event Particle-Level Unfolding with Variable-Length Latent Variational Diffusion
Alexander Shmakov
Kevin Greif
M. Fenton
A. Ghosh
Pierre Baldi
D. Whiteson
DiffM
122
9
0
22 Apr 2024
Machine Learning for Anomaly Detection in Particle Physics
Machine Learning for Anomaly Detection in Particle Physics
Vasilis Belis
Patrick Odagiu
Thea Klæboe Årrestad
30
40
0
20 Dec 2023
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
46
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
30
16
0
15 Dec 2023
PC-Droid: Faster diffusion and improved quality for particle cloud
  generation
PC-Droid: Faster diffusion and improved quality for particle cloud generation
Matthew Leigh
Debasish Sengupta
J. A. Raine
Guillaume Quétant
T. Golling
DiffM
46
14
0
13 Jul 2023
Score-based Generative Models for Calorimeter Shower Simulation
Score-based Generative Models for Calorimeter Shower Simulation
Vinicius Mikuni
Benjamin Nachman
DiffM
35
75
0
17 Jun 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
42
113
0
07 Dec 2021
CaloFlow II: Even Faster and Still Accurate Generation of Calorimeter
  Showers with Normalizing Flows
CaloFlow II: Even Faster and Still Accurate Generation of Calorimeter Showers with Normalizing Flows
Claudius Krause
David Shih
40
64
0
21 Oct 2021
1