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Jet-Images -- Deep Learning Edition

Jet-Images -- Deep Learning Edition

16 November 2015
Luke de Oliveira
Michael Kagan
Lester W. Mackey
Benjamin Nachman
A. Schwartzman
    PINN
ArXivPDFHTML

Papers citing "Jet-Images -- Deep Learning Edition"

31 / 31 papers shown
Title
Particle Multi-Axis Transformer for Jet Tagging
Particle Multi-Axis Transformer for Jet Tagging
Muhammad Usman
M. Shahid
Maheen Ejaz
Ummay Hani
Nayab Fatima
Abdul Rehman Khan
Asifullah Khan
Nasir Majid Mirza
37
3
0
09 Jun 2024
Fast Neural Network Inference on FPGAs for Triggering on Long-Lived
  Particles at Colliders
Fast Neural Network Inference on FPGAs for Triggering on Long-Lived Particles at Colliders
A. Coccaro
Francesco Armando Di Bello
S. Giagu
L. Rambelli
Nicola Stocchetti
35
5
0
11 Jul 2023
Decorrelation with conditional normalizing flows
Decorrelation with conditional normalizing flows
Samuel Klein
T. Golling
40
4
0
04 Nov 2022
Exploring the Universality of Hadronic Jet Classification
Exploring the Universality of Hadronic Jet Classification
K. Cheung
Yi Chung
Shih-Chieh Hsu
Benjamin Nachman
17
2
0
08 Apr 2022
Leveraging universality of jet taggers through transfer learning
Leveraging universality of jet taggers through transfer learning
F. Dreyer
Radoslaw Grabarczyk
P. Monni
15
17
0
11 Mar 2022
Particle Transformer for Jet Tagging
Particle Transformer for Jet Tagging
H. Qu
Congqiao Li
Sitian Qian
ViT
MedIm
26
97
0
08 Feb 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
49
113
0
07 Dec 2021
A Cautionary Tale of Decorrelating Theory Uncertainties
A Cautionary Tale of Decorrelating Theory Uncertainties
A. Ghosh
Benjamin Nachman
35
17
0
16 Sep 2021
Particle Convolution for High Energy Physics
Particle Convolution for High Energy Physics
C. Shimmin
29
15
0
05 Jul 2021
Particle Cloud Generation with Message Passing Generative Adversarial
  Networks
Particle Cloud Generation with Message Passing Generative Adversarial Networks
Raghav Kansal
Javier Mauricio Duarte
Haoran Su
B. Orzari
T. Tomei
M. Pierini
M. Touranakou
J. Vlimant
Dimitrios Gunopulos
37
75
0
22 Jun 2021
A Living Review of Machine Learning for Particle Physics
A Living Review of Machine Learning for Particle Physics
Matthew Feickert
Benjamin Nachman
KELM
AI4CE
39
178
0
02 Feb 2021
Image-Based Jet Analysis
Image-Based Jet Analysis
Michael Kagan
25
7
0
17 Dec 2020
Deep-Learning-Based Kinematic Reconstruction for DUNE
Deep-Learning-Based Kinematic Reconstruction for DUNE
Junze Liu
J. Ott
Julian Collado
B. Jargowsky
Wenjie Wu
J. Bian
Pierre Baldi
18
12
0
11 Dec 2020
Explainable AI for ML jet taggers using expert variables and layerwise
  relevance propagation
Explainable AI for ML jet taggers using expert variables and layerwise relevance propagation
G. Agarwal
L. Hay
I. Iashvili
Benjamin Mannix
C. McLean
Margaret E. Morris
S. Rappoccio
U. Schubert
46
18
0
26 Nov 2020
Interpretable Deep Learning for Two-Prong Jet Classification with Jet
  Spectra
Interpretable Deep Learning for Two-Prong Jet Classification with Jet Spectra
A. Chakraborty
Sung Hak Lim
M. Nojiri
42
43
0
03 Apr 2019
ParticleNet: Jet Tagging via Particle Clouds
ParticleNet: Jet Tagging via Particle Clouds
H. Qu
L. Gouskos
3DPC
MU
30
229
0
22 Feb 2019
End-to-End Jet Classification of Quarks and Gluons with the CMS Open
  Data
End-to-End Jet Classification of Quarks and Gluons with the CMS Open Data
Michael Andrews
J. Alison
Sitong An
P. Bryant
Bjorn Burkle
S. Gleyzer
M. Narain
M. Paulini
Barnabás Póczós
Emanuele Usai
18
44
0
21 Feb 2019
Learning representations of irregular particle-detector geometry with
  distance-weighted graph networks
Learning representations of irregular particle-detector geometry with distance-weighted graph networks
S. Qasim
J. Kieseler
Y. Iiyama
M. Pierini
35
135
0
21 Feb 2019
Regularizing Black-box Models for Improved Interpretability
Regularizing Black-box Models for Improved Interpretability
Gregory Plumb
Maruan Al-Shedivat
Ángel Alexander Cabrera
Adam Perer
Eric Xing
Ameet Talwalkar
AAML
24
79
0
18 Feb 2019
Energy Flow Networks: Deep Sets for Particle Jets
Energy Flow Networks: Deep Sets for Particle Jets
Patrick T. Komiske
E. Metodiev
Jesse Thaler
PINN
3DPC
45
251
0
11 Oct 2018
End-to-End Physics Event Classification with CMS Open Data: Applying
  Image-Based Deep Learning to Detector Data for the Direct Classification of
  Collision Events at the LHC
End-to-End Physics Event Classification with CMS Open Data: Applying Image-Based Deep Learning to Detector Data for the Direct Classification of Collision Events at the LHC
Michael Andrews
M. Paulini
S. Gleyzer
Barnabás Póczós
DiffM
34
17
0
31 Jul 2018
Efficient Probabilistic Inference in the Quest for Physics Beyond the
  Standard Model
Efficient Probabilistic Inference in the Quest for Physics Beyond the Standard Model
A. G. Baydin
Lukas Heinrich
W. Bhimji
Lei Shao
Saeid Naderiparizi
...
Philip Torr
Victor W. Lee
P. Prabhat
Kyle Cranmer
Frank Wood
39
31
0
20 Jul 2018
Topology classification with deep learning to improve real-time event
  selection at the LHC
Topology classification with deep learning to improve real-time event selection at the LHC
Thong Q. Nguyen
Daniel Weitekamp
D. Anderson
R. Castello
O. Cerri
M. Pierini
M. Spiropulu
J. Vlimant
16
34
0
29 Jun 2018
Infrared Safety of a Neural-Net Top Tagging Algorithm
Infrared Safety of a Neural-Net Top Tagging Algorithm
Suyong Choi
Seung J. Lee
M. Perelstein
16
39
0
04 Jun 2018
Opening the black box of neural nets: case studies in stop/top
  discrimination
Opening the black box of neural nets: case studies in stop/top discrimination
Thomas Roxlo
M. Reece
21
22
0
24 Apr 2018
Fast inference of deep neural networks in FPGAs for particle physics
Fast inference of deep neural networks in FPGAs for particle physics
Javier Mauricio Duarte
Song Han
Philip C. Harris
S. Jindariani
E. Kreinar
...
J. Ngadiuba
M. Pierini
R. Rivera
N. Tran
Zhenbin Wu
AI4CE
88
389
0
16 Apr 2018
A trans-disciplinary review of deep learning research for water
  resources scientists
A trans-disciplinary review of deep learning research for water resources scientists
Chaopeng Shen
AI4CE
38
682
0
06 Dec 2017
Recursive Neural Networks in Quark/Gluon Tagging
Recursive Neural Networks in Quark/Gluon Tagging
Taoli Cheng
23
98
0
07 Nov 2017
Pileup Mitigation with Machine Learning (PUMML)
Pileup Mitigation with Machine Learning (PUMML)
Patrick T. Komiske
E. Metodiev
Benjamin Nachman
M. Schwartz
32
99
0
26 Jul 2017
QCD-Aware Recursive Neural Networks for Jet Physics
QCD-Aware Recursive Neural Networks for Jet Physics
Gilles Louppe
Kyunghyun Cho
C. Becot
Kyle Cranmer
BDL
24
189
0
02 Feb 2017
Improving neural networks by preventing co-adaptation of feature
  detectors
Improving neural networks by preventing co-adaptation of feature detectors
Geoffrey E. Hinton
Nitish Srivastava
A. Krizhevsky
Ilya Sutskever
Ruslan Salakhutdinov
VLM
266
7,640
0
03 Jul 2012
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