Communities
Connect sessions
AI calendar
Organizations
Join Slack
Contact Sales
Search
Open menu
Home
Papers
1701.05927
Cited By
v1
v2 (latest)
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
Re-assign community
ArXiv (abs)
PDF
HTML
Papers citing
"Learning Particle Physics by Example: Location-Aware Generative Adversarial Networks for Physics Synthesis"
33 / 83 papers shown
GANplifying Event Samples
A. Butter
Yuan-Tang Chou
Gregor Kasieczka
Benjamin Nachman
Tilman Plehn
GAN
311
83
0
14 Aug 2020
Deep Generative Models that Solve PDEs: Distributed Computing for Training Large Data-Free Models
Workshop on Machine Learning in High Performance Computing Environments (MLHPC), 2020
Sergio Botelho
Ameya Joshi
Biswajit Khara
Soumik Sarkar
Chinmay Hegde
Santi S. Adavani
Baskar Ganapathysubramanian
AI4CE
127
7
0
24 Jul 2020
Using machine learning to speed up new and upgrade detector studies: a calorimeter case
EPJ Web of Conferences (EPJ Web Conf.), 2020
Fedor Ratnikov
D. Derkach
A. Boldyrev
A. Shevelev
P. Fakanov
L. Matyushin
64
2
0
11 Mar 2020
Integrating Scientific Knowledge with Machine Learning for Engineering and Environmental Systems
ACM Computing Surveys (ACM CSUR), 2020
J. Willard
X. Jia
Shaoming Xu
M. Steinbach
Vipin Kumar
AI4CE
684
540
0
10 Mar 2020
Simulation of electron-proton scattering events by a Feature-Augmented and Transformed Generative Adversarial Network (FAT-GAN)
International Joint Conference on Artificial Intelligence (IJCAI), 2020
Yasir Alanazi
Nobuo Sato
Tianbo Liu
W. Melnitchouk
P. Ambrozewicz
...
E. Pritchard
M. Robertson
R. Strauss
L. Velasco
Yaohang Li
GAN
400
71
0
29 Jan 2020
Anomaly Detection with Density Estimation
Benjamin Nachman
David Shih
204
238
0
14 Jan 2020
How to GAN away Detector Effects
SciPost Physics (SciPost Phys.), 2019
Marco Bellagente
A. Butter
Gregor Kasieczka
Tilman Plehn
R. Winterhalder
GAN
533
100
0
01 Dec 2019
Lund jet images from generative and cycle-consistent adversarial networks
Stefano Carrazza
F. Dreyer
GAN
113
49
0
03 Sep 2019
Neural Networks for Full Phase-space Reweighting and Parameter Tuning
Anders Andreassen
Benjamin Nachman
217
103
0
18 Jul 2019
Encoding Invariances in Deep Generative Models
Viraj Shah
Ameya Joshi
Sambuddha Ghosal
B. Pokuri
Soumik Sarkar
Baskar Ganapathysubramanian
Chinmay Hegde
PINN
GAN
169
32
0
04 Jun 2019
Including Physics in Deep Learning -- An example from 4D seismic pressure saturation inversion
Jesper Sören Dramsch
G. Côrte
Hamed Amini
C. MacBeth
M. Lüthje
AI4CE
PINN
74
2
0
03 Apr 2019
Jet grooming through reinforcement learning
Stefano Carrazza
F. Dreyer
260
19
0
22 Mar 2019
Machine Learning Solutions for High Energy Physics: Applications to Electromagnetic Shower Generation, Flavor Tagging, and the Search for di-Higgs Production
Michela Paganini
127
1
0
12 Mar 2019
Adversarial Out-domain Examples for Generative Models
Dario Pasquini
Marco Mingione
M. Bernaschi
WIGM
SILM
AAML
138
6
0
07 Mar 2019
Learning representations of irregular particle-detector geometry with distance-weighted graph networks
S. Qasim
J. Kieseler
Y. Iiyama
M. Pierini
250
145
0
21 Feb 2019
LHC analysis-specific datasets with Generative Adversarial Networks
B. Hashemi
N. Amin
Kaustuv Datta
D. Olivito
M. Pierini
GAN
145
90
0
16 Jan 2019
Generative Models for Fast Calorimeter Simulation.LHCb case
V. Chekalina
Elena Orlova
Fedor Ratnikov
Dmitry Ulyanov
Andrey Ustyuzhanin
Egor Zakharov
AI4CE
224
70
0
04 Dec 2018
Image-based model parameter optimization using Model-Assisted Generative Adversarial Networks
Saúl Alonso-Monsalve
L. Whitehead
GAN
229
34
0
30 Nov 2018
Energy Flow Networks: Deep Sets for Particle Jets
Patrick T. Komiske
E. Metodiev
Jesse Thaler
PINN
3DPC
306
295
0
11 Oct 2018
Global Convergence to the Equilibrium of GANs using Variational Inequalities
I. Gemp
Sridhar Mahadevan
262
52
0
04 Aug 2018
JUNIPR: a Framework for Unsupervised Machine Learning in Particle Physics
Anders Andreassen
Ilya Feige
Christopher Frye
M. Schwartz
MU
271
143
0
25 Apr 2018
Quantum generative adversarial networks
Pierre-Luc Dallaire-Demers
N. Killoran
GAN
AI4CE
336
454
0
23 Apr 2018
Learning to Classify from Impure Samples with High-Dimensional Data
Patrick T. Komiske
E. Metodiev
Benjamin Nachman
M. Schwartz
202
78
0
30 Jan 2018
Bayesian Deep Convolutional Encoder-Decoder Networks for Surrogate Modeling and Uncertainty Quantification
Yinhao Zhu
N. Zabaras
UQCV
BDL
395
693
0
21 Jan 2018
CaloGAN: Simulating 3D High Energy Particle Showers in Multi-Layer Electromagnetic Calorimeters with Generative Adversarial Networks
Michela Paganini
Luke de Oliveira
Benjamin Nachman
AI4CE
GAN
168
343
0
21 Dec 2017
How Generative Adversarial Networks and Their Variants Work: An Overview
Yongjun Hong
Uiwon Hwang
Jaeyoon Yoo
Sungroh Yoon
GAN
559
174
0
16 Nov 2017
GANs for Biological Image Synthesis
IEEE International Conference on Computer Vision (ICCV), 2017
A. Osokin
A. Chessel
R. Carazo-Salas
F. Vaggi
GAN
146
108
0
15 Aug 2017
Classification without labels: Learning from mixed samples in high energy physics
Journal of High Energy Physics (JHEP), 2017
E. Metodiev
Benjamin Nachman
Jesse Thaler
CML
216
219
0
09 Aug 2017
Pileup Mitigation with Machine Learning (PUMML)
Patrick T. Komiske
E. Metodiev
Benjamin Nachman
M. Schwartz
170
103
0
26 Jul 2017
(Machine) Learning to Do More with Less
T. Cohen
M. Freytsis
B. Ostdiek
272
81
0
28 Jun 2017
CosmoGAN: creating high-fidelity weak lensing convergence maps using Generative Adversarial Networks
Computational Astrophysics and Cosmology (CAC), 2017
M. Mustafa
Deborah Bard
W. Bhimji
Z. Lukić
Rami Al-Rfou
J. Kratochvil
GAN
491
126
0
07 Jun 2017
Accelerating Science with Generative Adversarial Networks: An Application to 3D Particle Showers in Multi-Layer Calorimeters
Michela Paganini
Luke de Oliveira
Benjamin Nachman
AI4CE
250
240
0
05 May 2017
Jet Constituents for Deep Neural Network Based Top Quark Tagging
Jannicke Pearkes
W. Fedorko
A. Lister
C. Gay
BDL
176
93
0
07 Apr 2017
Previous
1
2
Page 2 of 2
