Papers
Communities
Events
Blog
Pricing
Search
Open menu
Home
Papers
1702.00748
Cited By
QCD-Aware Recursive Neural Networks for Jet Physics
2 February 2017
Gilles Louppe
Kyunghyun Cho
C. Becot
Kyle Cranmer
BDL
Re-assign community
ArXiv
PDF
HTML
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
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
Sung Hak Lim
M. Nojiri
52
25
0
09 Jul 2018
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
Anders Andreassen
Ilya Feige
Christopher Frye
M. Schwartz
MU
68
137
0
25 Apr 2018
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
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
Shannon Egan
W. Fedorko
A. Lister
Jannicke Pearkes
C. Gay
46
75
0
24 Nov 2017
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
E. Metodiev
Benjamin Nachman
Jesse Thaler
CML
50
206
0
09 Aug 2017
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
Dani Yogatama
Phil Blunsom
Chris Dyer
Edward Grefenstette
Wang Ling
NAI
60
159
0
28 Nov 2016
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
Thomas Kipf
Max Welling
GNN
SSL
623
29,051
0
09 Sep 2016
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
Mathias Niepert
Mohamed Ahmed
Konstantin Kutzkov
GNN
SSL
135
2,154
0
17 May 2016
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
Yujia Li
Daniel Tarlow
Marc Brockschmidt
R. Zemel
GNN
344
3,283
0
17 Nov 2015
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
Mikael Henaff
Joan Bruna
Yann LeCun
GNN
157
1,587
0
16 Jun 2015
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
Diederik P. Kingma
Jimmy Ba
ODL
1.8K
150,115
0
22 Dec 2014
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
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
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
Joan Bruna
Wojciech Zaremba
Arthur Szlam
Yann LeCun
GNN
220
4,876
0
21 Dec 2013
1