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1712.10321
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CaloGAN: Simulating 3D High Energy Particle Showers in Multi-Layer Electromagnetic Calorimeters with Generative Adversarial Networks
21 December 2017
Michela Paganini
Luke de Oliveira
Benjamin Nachman
AI4CE
GAN
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Papers citing
"CaloGAN: Simulating 3D High Energy Particle Showers in Multi-Layer Electromagnetic Calorimeters with Generative Adversarial Networks"
50 / 104 papers shown
A First Full Physics Benchmark for Highly Granular Calorimeter Surrogates
Thorsten Buss
Henry Day-Hall
F. Gaede
Gregor Kasieczka
K. Krüger
A. Korol
Thomas Madlener
Peter McKeown
DiffM
AI4CE
168
2
0
21 Nov 2025
Forecasting Generative Amplification
Henning Bahl
Sascha Diefenbacher
Nina Elmer
Tilman Plehn
Jonas Spinner
212
2
0
09 Sep 2025
Double Descent and Overparameterization in Particle Physics Data
M. Vigl
L. Heinrich
AI4CE
73
0
0
01 Sep 2025
Jet Image Generation in High Energy Physics Using Diffusion Models
Victor D. Martinez
V. Manian
Sudhir Malik
DiffM
111
0
0
01 Aug 2025
Hamiltonian Normalizing Flows as kinetic PDE solvers: application to the 1D Vlasov-Poisson Equations
Vincent Souveton
Sébastien Terrana
294
0
0
07 May 2025
Online Difficulty Filtering for Reasoning Oriented Reinforcement Learning
Sanghwan Bae
Jiwoo Hong
Min Young Lee
Hanbyul Kim
Jeongyeon Nam
Donghyun Kwak
OffRL
LRM
365
6
0
04 Apr 2025
An information theoretic limit to data amplification
S. J. Watts
L. Crow
137
1
0
23 Dec 2024
Extrapolating Jet Radiation with Autoregressive Transformers
A. Butter
François Charton
Javier Marino Villadamigo
Ayodele Ore
Tilman Plehn
Jonas Spinner
256
5
0
16 Dec 2024
Physics Instrument Design with Reinforcement Learning
Shah Rukh Qasim
Patrick Owen
Nicola Serra
202
2
0
13 Dec 2024
A Lorentz-Equivariant Transformer for All of the LHC
Johann Brehmer
Victor Bresó
P. D. Haan
Tilman Plehn
Huilin Qu
Jonas Spinner
Jesse Thaler
BDL
354
52
0
01 Nov 2024
Conditioned quantum-assisted deep generative surrogate for particle-calorimeter interactions
npj Quantum Information (npjQI), 2024
J. Q. Toledo-Marín
Sebastian Gonzalez
Hao Jia
Ian Lu
Deniz Sogutlu
...
Eric Paquet
R. Melko
Geoffrey C. Fox
M. Swiatlowski
W. Fedorko
AI4CE
242
3
0
30 Oct 2024
PIPPIN: Generating variable length full events from partons
Guillaume Quétant
C. Pollard
Matthew Leigh
Debajyoti Sengupta
J. A. Raine
215
10
0
18 Jun 2024
A Comprehensive Evaluation of Generative Models in Calorimeter Shower Simulation
Farzana Yasmin Ahmad
Vanamala Venkataswamy
Geoffrey Fox
DiffM
205
9
0
08 Jun 2024
Convolutional L2LFlows: Generating Accurate Showers in Highly Granular Calorimeters Using Convolutional Normalizing Flows
Thorsten Buss
F. Gaede
Gregor Kasieczka
Claudius Krause
David Shih
AI4CE
326
19
0
30 May 2024
Calo-VQ: Vector-Quantized Two-Stage Generative Model in Calorimeter Simulation
Qibin Liu
Chase Shimmin
Xiulong Liu
Eli Shlizerman
Shu Li
Shih-Chieh Hsu
DRL
MQ
269
15
0
10 May 2024
Unifying Simulation and Inference with Normalizing Flows
Haoxing Du
Claudius Krause
Vinicius Mikuni
Benjamin Nachman
Ian Pang
David Shih
473
10
0
29 Apr 2024
Toward using GANs in astrophysical Monte-Carlo simulations
Ahab Isaac
Wesley Armour
Karel Adámek
77
0
0
16 Feb 2024
Synthesis of pulses from particle detectors with a Generative Adversarial Network (GAN)
Nuclear Instruments and Methods in Physics Research Section A : Accelerators, Spectrometers, Detectors and Associated Equipment (NIM A), 2022
A. Regadío
Luis Esteban
S. Sánchez-Prieto
GAN
263
2
0
10 Jan 2024
Deep Generative Models for Detector Signature Simulation: A Taxonomic Review
Reviews in Physics (RP), 2023
Baran Hashemi
Claudius Krause
360
30
0
15 Dec 2023
DeepTreeGANv2: Iterative Pooling of Point Clouds
M. Scham
D. Krücker
Kerstin Borras
3DPC
357
3
0
24 Nov 2023
CaloClouds II: Ultra-Fast Geometry-Independent Highly-Granular Calorimeter Simulation
Journal of Instrumentation (JINST), 2023
E. Buhmann
F. Gaede
Gregor Kasieczka
A. Korol
W. Korcari
K. Krüger
Peter McKeown
DiffM
265
36
0
11 Sep 2023
Calorimeter shower superresolution
Ian Pang
C. Pollard
David Shih
DiffM
208
12
0
22 Aug 2023
Reconstructing
S
S
S
-matrix Phases with Machine Learning
Journal of High Energy Physics (JHEP), 2023
Aurélien Dersy
M. Schwartz
A. Zhiboedov
125
8
0
18 Aug 2023
SR-GAN for SR-gamma: super resolution of photon calorimeter images at collider experiments
Johannes Erdmann
A. V. D. Graaf
F. Mausolf
O. Nackenhorst
GAN
162
5
0
17 Aug 2023
Statistically Optimal Generative Modeling with Maximum Deviation from the Empirical Distribution
International Conference on Machine Learning (ICML), 2023
Elen Vardanyan
Sona Hunanyan
T. Galstyan
A. Minasyan
A. Dalalyan
337
2
0
31 Jul 2023
PC-Droid: Faster diffusion and improved quality for particle cloud generation
Matthew Leigh
Debasish Sengupta
C. Pollard
Guillaume Quétant
J. A. Raine
DiffM
280
14
0
13 Jul 2023
Comparison of Point Cloud and Image-based Models for Calorimeter Fast Simulation
Journal of Instrumentation (JINST), 2023
Fernando Torales Acosta
Vinicius Mikuni
Benjamin Nachman
M. Arratia
B. Karki
R. Milton
P. Karande
Aaron Angerami
DiffM
281
35
0
10 Jul 2023
Machine Learning methods for simulating particle response in the Zero Degree Calorimeter at the ALICE experiment, CERN
Jan Dubiñski
Kamil Deja
S. Wenzel
Przemyslaw Rokita
Tomasz Trzciñski
AI4CE
202
10
0
23 Jun 2023
Inductive Simulation of Calorimeter Showers with Normalizing Flows
M. Buckley
Claudius Krause
Ian Pang
David Shih
AI4CE
297
37
0
19 May 2023
Generalizing to new geometries with Geometry-Aware Autoregressive Models (GAAMs) for fast calorimeter simulation
Journal of Instrumentation (JINST), 2023
Junze Liu
A. Ghosh
Dylan Smith
Pierre Baldi
D. Whiteson
AI4CE
467
11
0
19 May 2023
End-To-End Latent Variational Diffusion Models for Inverse Problems in High Energy Physics
Neural Information Processing Systems (NeurIPS), 2023
Alexander Shmakov
Kevin Greif
M. Fenton
A. Ghosh
Pierre Baldi
D. Whiteson
DiffM
249
49
0
17 May 2023
CaloClouds: Fast Geometry-Independent Highly-Granular Calorimeter Simulation
Journal of Instrumentation (JINST), 2023
E. Buhmann
Yuan-Tang Chou
E. Eren
F. Gaede
Gregor Kasieczka
A. Korol
W. Korcari
K. Krüger
Peter McKeown
DiffM
314
64
0
08 May 2023
PC-JeDi: Diffusion for Particle Cloud Generation in High Energy Physics
SciPost Physics (SciPost Phys.), 2023
Matthew Leigh
Debasish Sengupta
Guillaume Quétant
C. Pollard
K. Zoch
J. A. Raine
DiffM
237
51
0
09 Mar 2023
Ultra-High-Resolution Detector Simulation with Intra-Event Aware GAN and Self-Supervised Relational Reasoning
Nature Communications (Nat. Commun.), 2023
H. Hashemi
Nikolai Hartmann
Sahand Sharifzadeh
James Kahn
T. Kuhr
282
4
0
07 Mar 2023
Configurable calorimeter simulation for AI applications
F. D. Di Bello
Anton Charkin-Gorbulin
Kyle Cranmer
Etienne Dreyer
S. Ganguly
...
Lorenzo Santi
Marumi Kado
N. Kakati
P. Rieck
Matteo Tusoni
263
9
0
03 Mar 2023
EPiC-GAN: Equivariant Point Cloud Generation for Particle Jets
SciPost Physics (SciPost Phys.), 2023
E. Buhmann
Gregor Kasieczka
Jesse Thaler
3DPC
439
53
0
17 Jan 2023
Geometry-aware Autoregressive Models for Calorimeter Shower Simulations
Junze Liu
A. Ghosh
Dylan Smith
Pierre Baldi
D. Whiteson
OOD
AI4CE
283
6
0
16 Dec 2022
Lorentz group equivariant autoencoders
Zichun Hao
Raghav Kansal
Javier Mauricio Duarte
N. Chernyavskaya
BDL
DRL
AI4CE
300
29
0
14 Dec 2022
CaloMan: Fast generation of calorimeter showers with density estimation on learned manifolds
Jesse C. Cresswell
Brendan Leigh Ross
Gabriel Loaiza-Ganem
H. Reyes-González
Marco Letizia
M. Volkovs
209
53
0
23 Nov 2022
CaloFlow for CaloChallenge Dataset 1
SciPost Physics (SciPost Phys.), 2022
Claudius Krause
Ian Pang
David Shih
AI4CE
219
30
0
25 Oct 2022
CaloDVAE : Discrete Variational Autoencoders for Fast Calorimeter Shower Simulation
Abhishek Abhishek
E. Drechsler
W. Fedorko
Bernd Stelzer
141
11
0
14 Oct 2022
Hyperparameter Optimization of Generative Adversarial Network Models for High-Energy Physics Simulations
Vincent Dumont
X. Ju
Juliane Mueller
AI4CE
132
3
0
12 Aug 2022
Data Science and Machine Learning in Education
G. Benelli
Thomas Y. Chen
Javier Mauricio Duarte
Matthew Feickert
Matthew Graham
...
K. Terao
S. Thais
A. Roy
J. Vlimant
G. Chachamis
AI4CE
156
5
0
19 Jul 2022
Selectively increasing the diversity of GAN-generated samples
International Conference on Neural Information Processing (ICONIP), 2022
Jan Dubiñski
Kamil Deja
S. Wenzel
Przemyslaw Rokita
Tomasz Trzciñski
GAN
255
14
0
04 Jul 2022
Conditional Born machine for Monte Carlo event generation
Oriel Kiss
Michele Grossi
E. Kajomovitz
S. Vallecorsa
210
18
0
16 May 2022
gLaSDI: Parametric Physics-informed Greedy Latent Space Dynamics Identification
Journal of Computational Physics (JCP), 2022
Xiaolong He
Youngsoo Choi
William D. Fries
Jonathan Belof
Jiun-Shyan Chen
AI4CE
164
49
0
26 Apr 2022
New directions for surrogate models and differentiable programming for High Energy Physics detector simulation
Andreas Adelmann
W. Hopkins
E. Kourlitis
Michael Kagan
Gregor Kasieczka
...
David Shih
Vinicius Mikuni
Benjamin Nachman
K. Pedro
D. Winklehner
191
34
0
15 Mar 2022
Particle-based Fast Jet Simulation at the LHC with Variational Autoencoders
M. Touranakou
N. Chernyavskaya
Javier Mauricio Duarte
Dimitrios Gunopulos
Raghav Kansal
B. Orzari
M. Pierini
T. Tomei
J. Vlimant
151
20
0
01 Mar 2022
SUPA: A Lightweight Diagnostic Simulator for Machine Learning in Particle Physics
Neural Information Processing Systems (NeurIPS), 2022
A. K. Sinha
Daniele Paliotta
Bálint Máté
Sebastian Pina-Otey
C. Pollard
J. A. Raine
Franccois Fleuret
AI4CE
283
2
0
10 Feb 2022
GAN-based Matrix Factorization for Recommender Systems
ACM Symposium on Applied Computing (SAC), 2022
Ervin Dervishaj
Paolo Cremonesi
145
21
0
20 Jan 2022
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