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QCD-Aware Recursive Neural Networks for Jet Physics

QCD-Aware Recursive Neural Networks for Jet Physics

2 February 2017
Gilles Louppe
Kyunghyun Cho
C. Becot
Kyle Cranmer
    BDL
ArXivPDFHTML

Papers citing "QCD-Aware Recursive Neural Networks for Jet Physics"

25 / 25 papers shown
Title
Variational Pseudo Marginal Methods for Jet Reconstruction in Particle Physics
Variational Pseudo Marginal Methods for Jet Reconstruction in Particle Physics
Hanming Yang
A. Moretti
Sebastian Macaluso
Philippe Chlenski
C. A. Naesseth
I. Pe’er
BDL
115
1
0
03 Jan 2025
Spectral Analysis of Jet Substructure with Neural Networks: Boosted
  Higgs Case
Spectral Analysis of Jet Substructure with Neural Networks: Boosted Higgs Case
Sung Hak Lim
M. Nojiri
52
25
0
09 Jul 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
47
39
0
04 Jun 2018
JUNIPR: a Framework for Unsupervised Machine Learning in Particle
  Physics
JUNIPR: a Framework for Unsupervised Machine Learning in Particle Physics
Anders Andreassen
Ilya Feige
Christopher Frye
M. Schwartz
MU
68
137
0
25 Apr 2018
Jet Charge and Machine Learning
Jet Charge and Machine Learning
Katherine Fraser
M. Schwartz
38
72
0
21 Mar 2018
Learning to Classify from Impure Samples with High-Dimensional Data
Learning to Classify from Impure Samples with High-Dimensional Data
Patrick T. Komiske
E. Metodiev
Benjamin Nachman
M. Schwartz
52
76
0
30 Jan 2018
Long Short-Term Memory (LSTM) networks with jet constituents for boosted
  top tagging at the LHC
Long Short-Term Memory (LSTM) networks with jet constituents for boosted top tagging at the LHC
Shannon Egan
W. Fedorko
A. Lister
Jannicke Pearkes
C. Gay
46
75
0
24 Nov 2017
Recursive Neural Networks in Quark/Gluon Tagging
Recursive Neural Networks in Quark/Gluon Tagging
Taoli Cheng
51
98
0
07 Nov 2017
Classification without labels: Learning from mixed samples in high
  energy physics
Classification without labels: Learning from mixed samples in high energy physics
E. Metodiev
Benjamin Nachman
Jesse Thaler
CML
50
206
0
09 Aug 2017
Deep learning in color: towards automated quark/gluon jet discrimination
Deep learning in color: towards automated quark/gluon jet discrimination
Patrick T. Komiske
E. Metodiev
M. Schwartz
59
261
0
05 Dec 2016
Learning to Compose Words into Sentences with Reinforcement Learning
Learning to Compose Words into Sentences with Reinforcement Learning
Dani Yogatama
Phil Blunsom
Chris Dyer
Edward Grefenstette
Wang Ling
NAI
60
159
0
28 Nov 2016
Learning to Pivot with Adversarial Networks
Learning to Pivot with Adversarial Networks
Gilles Louppe
Michael Kagan
Kyle Cranmer
63
227
0
03 Nov 2016
Semi-Supervised Classification with Graph Convolutional Networks
Semi-Supervised Classification with Graph Convolutional Networks
Thomas Kipf
Max Welling
GNN
SSL
623
29,051
0
09 Sep 2016
Convolutional Neural Networks on Graphs with Fast Localized Spectral
  Filtering
Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering
M. Defferrard
Xavier Bresson
P. Vandergheynst
GNN
347
7,655
0
30 Jun 2016
Learning Convolutional Neural Networks for Graphs
Learning Convolutional Neural Networks for Graphs
Mathias Niepert
Mohamed Ahmed
Konstantin Kutzkov
GNN
SSL
135
2,154
0
17 May 2016
A Fast Unified Model for Parsing and Sentence Understanding
A Fast Unified Model for Parsing and Sentence Understanding
Samuel R. Bowman
Jon Gauthier
Abhinav Rastogi
Raghav Gupta
Christopher D. Manning
Christopher Potts
53
314
0
19 Mar 2016
Gated Graph Sequence Neural Networks
Gated Graph Sequence Neural Networks
Yujia Li
Daniel Tarlow
Marc Brockschmidt
R. Zemel
GNN
344
3,283
0
17 Nov 2015
Jet-Images -- Deep Learning Edition
Jet-Images -- Deep Learning Edition
Luke de Oliveira
Michael Kagan
Lester W. Mackey
Benjamin Nachman
A. Schwartzman
PINN
59
310
0
16 Nov 2015
Deep Convolutional Networks on Graph-Structured Data
Deep Convolutional Networks on Graph-Structured Data
Mikael Henaff
Joan Bruna
Yann LeCun
GNN
157
1,587
0
16 Jun 2015
Tree-structured composition in neural networks without tree-structured
  architectures
Tree-structured composition in neural networks without tree-structured architectures
Samuel R. Bowman
Christopher D. Manning
Christopher Potts
63
75
0
16 Jun 2015
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
1.8K
150,115
0
22 Dec 2014
Empirical Evaluation of Gated Recurrent Neural Networks on Sequence
  Modeling
Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling
Junyoung Chung
Çağlar Gülçehre
Kyunghyun Cho
Yoshua Bengio
586
12,704
0
11 Dec 2014
On the Properties of Neural Machine Translation: Encoder-Decoder
  Approaches
On the Properties of Neural Machine Translation: Encoder-Decoder Approaches
Kyunghyun Cho
B. V. Merrienboer
Dzmitry Bahdanau
Yoshua Bengio
AI4CE
AIMat
246
6,776
0
03 Sep 2014
Learning Phrase Representations using RNN Encoder-Decoder for
  Statistical Machine Translation
Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translation
Kyunghyun Cho
B. V. Merrienboer
Çağlar Gülçehre
Dzmitry Bahdanau
Fethi Bougares
Holger Schwenk
Yoshua Bengio
AIMat
1.0K
23,354
0
03 Jun 2014
Spectral Networks and Locally Connected Networks on Graphs
Spectral Networks and Locally Connected Networks on Graphs
Joan Bruna
Wojciech Zaremba
Arthur Szlam
Yann LeCun
GNN
220
4,876
0
21 Dec 2013
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