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Simulation of electron-proton scattering events by a Feature-Augmented
  and Transformed Generative Adversarial Network (FAT-GAN)

Simulation of electron-proton scattering events by a Feature-Augmented and Transformed Generative Adversarial Network (FAT-GAN)

29 January 2020
Yasir Alanazi
Nobuo Sato
Tianbo Liu
W. Melnitchouk
P. Ambrozewicz
F. Hauenstein
M. Kuchera
E. Pritchard
M. Robertson
R. Strauss
L. Velasco
Yaohang Li
    GAN
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Papers citing "Simulation of electron-proton scattering events by a Feature-Augmented and Transformed Generative Adversarial Network (FAT-GAN)"

20 / 20 papers shown
Title
Extrapolating Jet Radiation with Autoregressive Transformers
Extrapolating Jet Radiation with Autoregressive Transformers
A. Butter
François Charton
Javier Marino Villadamigo
Ayodele Ore
Tilman Plehn
Jonas Spinner
88
0
0
16 Dec 2024
Convolutional L2LFlows: Generating Accurate Showers in Highly Granular
  Calorimeters Using Convolutional Normalizing Flows
Convolutional L2LFlows: Generating Accurate Showers in Highly Granular Calorimeters Using Convolutional Normalizing Flows
Thorsten Buss
F. Gaede
Gregor Kasieczka
Claudius Krause
David Shih
AI4CE
41
6
0
30 May 2024
Deep Generative Models for Detector Signature Simulation: A Taxonomic
  Review
Deep Generative Models for Detector Signature Simulation: A Taxonomic Review
Baran Hashemi
Claudius Krause
35
16
0
15 Dec 2023
Flow Matching Beyond Kinematics: Generating Jets with Particle-ID and Trajectory Displacement Information
Flow Matching Beyond Kinematics: Generating Jets with Particle-ID and Trajectory Displacement Information
Joschka Birk
E. Buhmann
Cedric Ewen
Gregor Kasieczka
David Shih
50
12
0
30 Nov 2023
Fast 2D Bicephalous Convolutional Autoencoder for Compressing 3D Time
  Projection Chamber Data
Fast 2D Bicephalous Convolutional Autoencoder for Compressing 3D Time Projection Chamber Data
Yi Huang
Yihui Ren
Shinjae Yoo
Jin-zhi Huang
11
4
0
23 Oct 2023
EPiC-ly Fast Particle Cloud Generation with Flow-Matching and Diffusion
EPiC-ly Fast Particle Cloud Generation with Flow-Matching and Diffusion
E. Buhmann
Cedric Ewen
D. Faroughy
T. Golling
Gregor Kasieczka
Matthew Leigh
Guillaume Quétant
J. A. Raine
Debajyoti Sengupta
David Shih
DiffM
50
27
0
29 Sep 2023
CaloClouds II: Ultra-Fast Geometry-Independent Highly-Granular
  Calorimeter Simulation
CaloClouds II: Ultra-Fast Geometry-Independent Highly-Granular Calorimeter Simulation
E. Buhmann
F. Gaede
Gregor Kasieczka
A. Korol
W. Korcari
K. Krüger
Peter McKeown
DiffM
43
24
0
11 Sep 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
Probabilistic Matching of Real and Generated Data Statistics in
  Generative Adversarial Networks
Probabilistic Matching of Real and Generated Data Statistics in Generative Adversarial Networks
Philipp Pilar
Niklas Wahlström
GAN
18
1
0
19 Jun 2023
ELSA -- Enhanced latent spaces for improved collider simulations
ELSA -- Enhanced latent spaces for improved collider simulations
Benjamin Nachman
R. Winterhalder
21
14
0
12 May 2023
PC-JeDi: Diffusion for Particle Cloud Generation in High Energy Physics
PC-JeDi: Diffusion for Particle Cloud Generation in High Energy Physics
Matthew Leigh
Debasish Sengupta
Guillaume Quétant
J. A. Raine
K. Zoch
T. Golling
DiffM
40
46
0
09 Mar 2023
UVCGAN: UNet Vision Transformer cycle-consistent GAN for unpaired
  image-to-image translation
UVCGAN: UNet Vision Transformer cycle-consistent GAN for unpaired image-to-image translation
D. Torbunov
Yi Huang
Haiwang Yu
Jin-zhi Huang
Shinjae Yoo
Meifeng Lin
B. Viren
Yihui Ren
ViT
34
80
0
04 Mar 2022
Efficient Data Compression for 3D Sparse TPC via Bicephalous
  Convolutional Autoencoder
Efficient Data Compression for 3D Sparse TPC via Bicephalous Convolutional Autoencoder
Yi Huang
Yihui Ren
Shinjae Yoo
Jin-zhi Huang
17
10
0
09 Nov 2021
Generative Networks for Precision Enthusiasts
Generative Networks for Precision Enthusiasts
A. Butter
Theo Heimel
Sander Hummerich
Tobias Krebs
Tilman Plehn
Armand Rousselot
Sophia Vent
AI4CE
21
59
0
22 Oct 2021
Optimising simulations for diphoton production at hadron colliders using
  amplitude neural networks
Optimising simulations for diphoton production at hadron colliders using amplitude neural networks
Joseph Aylett-Bullock
S. Badger
Ryan Moodie
18
22
0
17 Jun 2021
A survey of machine learning-based physics event generation
A survey of machine learning-based physics event generation
Yasir Alanazi
Nobuo Sato
P. Ambrozewicz
A. H. Blin
W. Melnitchouk
M. Battaglieri
Tianbo Liu
Yaohang Li
AI4CE
17
17
0
01 Jun 2021
Understanding Event-Generation Networks via Uncertainties
Understanding Event-Generation Networks via Uncertainties
Marco Bellagente
Manuel Haussmann
Michel Luchmann
Tilman Plehn
BDL
41
55
0
09 Apr 2021
GANplifying Event Samples
GANplifying Event Samples
A. Butter
S. Diefenbacher
Gregor Kasieczka
Benjamin Nachman
Tilman Plehn
GAN
15
71
0
14 Aug 2020
A Style-Based Generator Architecture for Generative Adversarial Networks
A Style-Based Generator Architecture for Generative Adversarial Networks
Tero Karras
S. Laine
Timo Aila
309
10,391
0
12 Dec 2018
C-RNN-GAN: Continuous recurrent neural networks with adversarial
  training
C-RNN-GAN: Continuous recurrent neural networks with adversarial training
Olof Mogren
GAN
77
515
0
29 Nov 2016
1