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1701.05927
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Learning Particle Physics by Example: Location-Aware Generative Adversarial Networks for Physics Synthesis
Computing and Software for Big Science (CSBS), 2017
20 January 2017
Luke de Oliveira
Michela Paganini
Benjamin Nachman
GAN
AI4CE
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Papers citing
"Learning Particle Physics by Example: Location-Aware Generative Adversarial Networks for Physics Synthesis"
50 / 83 papers shown
MiniFool - Physics-Constraint-Aware Minimizer-Based Adversarial Attacks in Deep Neural Networks
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Philipp Soldin
Matthias Thiesmeyer
Christopher Wiebusch
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03 Nov 2025
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Ahmad Reza Labibzadeh
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153
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10 Aug 2025
On Learning Closed-Loop Probabilistic Multi-Agent Simulator
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Rohit Gupta
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111
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01 Aug 2025
Even Faster Simulations with Flow Matching: A Study of Zero Degree Calorimeter Responses
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24 Jul 2025
Enabling Probabilistic Learning on Manifolds through Double Diffusion Maps
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N. Evangelou
Ioannis G. Kevrekidis
Roger G. Ghanem
149
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02 Jun 2025
Online Difficulty Filtering for Reasoning Oriented Reinforcement Learning
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Jiwoo Hong
Min Young Lee
Hanbyul Kim
Jeongyeon Nam
Donghyun Kwak
OffRL
LRM
359
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04 Apr 2025
An information theoretic limit to data amplification
S. J. Watts
L. Crow
133
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23 Dec 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
239
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30 Oct 2024
Hybrid Generative AI for De Novo Design of Co-Crystals with Enhanced Tabletability
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Andrei Dmitrenko
Gleb Solovev
Lyubov Yamshchikova
Oleg Petrov
Ivan Lebedev
N. Serov
Grigorii Kirgizov
Nikolay Nikitin
Vladimir Vinogradov
160
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22 Oct 2024
Generating Physical Dynamics under Priors
International Conference on Learning Representations (ICLR), 2024
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Xiaoxue Wang
Tianshu Yu
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AI4CE
437
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PIPPIN: Generating variable length full events from partons
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C. Pollard
Matthew Leigh
Debajyoti Sengupta
J. A. Raine
211
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A Comprehensive Evaluation of Generative Models in Calorimeter Shower Simulation
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Vanamala Venkataswamy
Geoffrey Fox
DiffM
196
9
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08 Jun 2024
Convolutional L2LFlows: Generating Accurate Showers in Highly Granular Calorimeters Using Convolutional Normalizing Flows
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F. Gaede
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Claudius Krause
David Shih
AI4CE
310
17
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30 May 2024
OmniJet-
α
α
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: The first cross-task foundation model for particle physics
Joschka Birk
Anna Hallin
Gregor Kasieczka
AI4CE
318
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08 Mar 2024
Examining Pathological Bias in a Generative Adversarial Network Discriminator: A Case Study on a StyleGAN3 Model
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Ryan F. Lei
Matt Gusdorff
Jeova Farias Sales Rocha Neto
Bailey Lin
Ryan Trotter
GAN
289
3
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15 Feb 2024
Deep Generative Models for Detector Signature Simulation: A Taxonomic Review
Reviews in Physics (RP), 2023
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Claudius Krause
352
25
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15 Dec 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
264
35
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11 Sep 2023
Ultra-High-Resolution Detector Simulation with Intra-Event Aware GAN and Self-Supervised Relational Reasoning
Nature Communications (Nat. Commun.), 2023
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Nikolai Hartmann
Sahand Sharifzadeh
James Kahn
T. Kuhr
274
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PE-GAN: Prior Embedding GAN for PXD images at Belle II
EPJ Web of Conferences (EPJ Web Conf.), 2023
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Nikolai Hartmann
T. Kuhr
M. Ritter
Matej Srebre
97
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Lorentz group equivariant autoencoders
Zichun Hao
Raghav Kansal
Javier Mauricio Duarte
N. Chernyavskaya
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AI4CE
294
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14 Dec 2022
Evaluating generative models in high energy physics
Raghav Kansal
Anni Li
Javier Mauricio Duarte
N. Chernyavskaya
M. Pierini
B. Orzari
T. Tomei
MedIm
228
45
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18 Nov 2022
Artificial intelligence for improved fitting of trajectories of elementary particles in inhomogeneous dense materials immersed in a magnetic field
Communications Physics (Commun. Phys.), 2022
Saúl Alonso-Monsalve
D. Sgalaberna
Xingyu Zhao
C. Mcgrew
A. Rubbia
149
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09 Nov 2022
CaloDVAE : Discrete Variational Autoencoders for Fast Calorimeter Shower Simulation
Abhishek Abhishek
E. Drechsler
W. Fedorko
Bernd Stelzer
124
11
0
14 Oct 2022
Score-based Generative Models for Calorimeter Shower Simulation
Vinicius Mikuni
Benjamin Nachman
DiffM
278
91
0
17 Jun 2022
Exploring the Universality of Hadronic Jet Classification
K. Cheung
Yi Chung
Shih-Chieh Hsu
Benjamin Nachman
194
2
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08 Apr 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
145
20
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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
142
21
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20 Jan 2022
Domain-informed neural networks for interaction localization within astroparticle experiments
Shixiao Liang
A. Higuera
C. Peters
Venkat Roy
W. Bajwa
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C. Tunnell
304
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15 Dec 2021
Machine Learning in the Search for New Fundamental Physics
G. Karagiorgi
Gregor Kasieczka
S. Kravitz
Benjamin Nachman
David Shih
AI4CE
213
139
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07 Dec 2021
Applications and Techniques for Fast Machine Learning in Science
Frontiers in Big Data (Front. Big Data), 2021
A. Deiana
Nhan Tran
Joshua C. Agar
Michaela Blott
G. D. Guglielmo
...
Ashish Sharma
S. Summers
Pietro Vischia
J. Vlimant
Olivia Weng
217
81
0
25 Oct 2021
Generative Networks for Precision Enthusiasts
SciPost Physics (SciPost Phys.), 2021
A. Butter
Theo Heimel
Sander Hummerich
Tobias Krebs
Tilman Plehn
Armand Rousselot
Sophia Vent
AI4CE
299
65
0
22 Oct 2021
Particle Cloud Generation with Message Passing Generative Adversarial Networks
Neural Information Processing Systems (NeurIPS), 2021
Raghav Kansal
Javier Mauricio Duarte
Haoran Su
B. Orzari
T. Tomei
M. Pierini
M. Touranakou
J. Vlimant
Dimitrios Gunopulos
229
85
0
22 Jun 2021
Optimising simulations for diphoton production at hadron colliders using amplitude neural networks
Journal of High Energy Physics (JHEP), 2021
Joseph Aylett-Bullock
S. Badger
Ryan Moodie
287
34
0
17 Jun 2021
CaloFlow: Fast and Accurate Generation of Calorimeter Showers with Normalizing Flows
Claudius Krause
David Shih
AI4CE
353
90
0
09 Jun 2021
Latent Space Refinement for Deep Generative Models
R. Winterhalder
Marco Bellagente
Benjamin Nachman
BDL
GAN
DRL
DiffM
341
28
0
01 Jun 2021
The use of Generative Adversarial Networks to characterise new physics in multi-lepton final states at the LHC
Thabang Lebese
X. Ruan
GAN
159
9
0
31 May 2021
Physics Validation of Novel Convolutional 2D Architectures for Speeding Up High Energy Physics Simulations
EPJ Web of Conferences (EPJ Web Conf.), 2021
F. Rehm
S. Vallecorsa
Kerstin Borras
D. Krücker
AI4CE
110
8
0
19 May 2021
Simulated Data Generation Through Algorithmic Force Coefficient Estimation for AI-Based Robotic Projectile Launch Modeling
Asia-Pacific Conference on Intelligent Robot Systems (AIRS), 2021
Sajiv Shah
Ayaan Haque
Fei Liu
182
0
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09 May 2021
Understanding Event-Generation Networks via Uncertainties
SciPost Physics (SciPost Phys.), 2021
Marco Bellagente
Manuel Haussmann
Michel Luchmann
Tilman Plehn
BDL
215
62
0
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Graph Generative Models for Fast Detector Simulations in High Energy Physics
EPJ Web of Conferences (EPJ Web Conf.), 2021
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Darya Dyachkova
Sergei Gleyzer
AI4CE
190
5
0
05 Apr 2021
Reduced Precision Strategies for Deep Learning: A High Energy Physics Generative Adversarial Network Use Case
International Conference on Pattern Recognition Applications and Methods (ICPRAM), 2021
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S. Vallecorsa
V. Saletore
Hans Pabst
Adel Chaibi
V. Codreanu
Kerstin Borras
D. Krücker
MQ
211
18
0
18 Mar 2021
A Living Review of Machine Learning for Particle Physics
Matthew Feickert
Benjamin Nachman
KELM
AI4CE
207
213
0
02 Feb 2021
Image-Based Jet Analysis
Michael Kagan
252
11
0
17 Dec 2020
Simulating the Time Projection Chamber responses at the MPD detector using Generative Adversarial Networks
A. Maevskiy
F. Ratnikov
A. Zinchenko
V. Riabov
210
12
0
08 Dec 2020
Graph Generative Adversarial Networks for Sparse Data Generation in High Energy Physics
Raghav Kansal
Javier Mauricio Duarte
B. Orzari
T. Tomei
M. Pierini
M. Touranakou
J. Vlimant
Dimitrios Gunopoulos
GAN
215
24
0
30 Nov 2020
Encoding large scale cosmological structure with Generative Adversarial Networks
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A. Decelle
N. Aghanim
GAN
AI4CE
116
12
0
10 Nov 2020
Parameter Estimation using Neural Networks in the Presence of Detector Effects
Anders Andreassen
S. Hsu
Benjamin Nachman
Natchanon Suaysom
Adithya Suresh
304
15
0
07 Oct 2020
Data Augmentation at the LHC through Analysis-specific Fast Simulation with Deep Learning
Cheng Chen
O. Cerri
Thong Q. Nguyen
J. Vlimant
M. Pierini
98
10
0
05 Oct 2020
DCTRGAN: Improving the Precision of Generative Models with Reweighting
Journal of Instrumentation (JINST), 2020
Yuan-Tang Chou
E. Eren
Gregor Kasieczka
A. Korol
Benjamin Nachman
David Shih
171
48
0
03 Sep 2020
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