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Learning to Configure Computer Networks with Neural Algorithmic
  Reasoning

Learning to Configure Computer Networks with Neural Algorithmic Reasoning

26 October 2022
Luca Beurer-Kellner
Martin Vechev
Laurent Vanbever
Petar Velickovic
ArXiv (abs)PDFHTML

Papers citing "Learning to Configure Computer Networks with Neural Algorithmic Reasoning"

16 / 16 papers shown
Title
A Generalist Neural Algorithmic Learner
A Generalist Neural Algorithmic Learner
Borja Ibarz
Vitaly Kurin
George Papamakarios
Kyriacos Nikiforou
Mehdi Abbana Bennani
...
Andreea Deac
Beatrice Bevilacqua
Yaroslav Ganin
Charles Blundell
Petar Velivcković
OOD
85
54
0
22 Sep 2022
Solving Linear Algebra by Program Synthesis
Solving Linear Algebra by Program Synthesis
Iddo Drori
Nakul Verma
28
21
0
16 Nov 2021
Evaluating Large Language Models Trained on Code
Evaluating Large Language Models Trained on Code
Mark Chen
Jerry Tworek
Heewoo Jun
Qiming Yuan
Henrique Pondé
...
Bob McGrew
Dario Amodei
Sam McCandlish
Ilya Sutskever
Wojciech Zaremba
ELMALM
233
5,635
0
07 Jul 2021
Neural Algorithmic Reasoning
Neural Algorithmic Reasoning
Petar Velickovic
Charles Blundell
NAIOOD
47
104
0
06 May 2021
Combinatorial optimization and reasoning with graph neural networks
Combinatorial optimization and reasoning with graph neural networks
Quentin Cappart
Didier Chételat
Elias Boutros Khalil
Andrea Lodi
Christopher Morris
Petar Velickovic
AI4CE
79
360
0
18 Feb 2021
Neural Execution of Graph Algorithms
Neural Execution of Graph Algorithms
Petar Velickovic
Rex Ying
Matilde Padovano
R. Hadsell
Charles Blundell
GNN
85
171
0
23 Oct 2019
RouteNet: Leveraging Graph Neural Networks for network modeling and
  optimization in SDN
RouteNet: Leveraging Graph Neural Networks for network modeling and optimization in SDN
Maik Ender
Pawel Swierczynski
Paul Almasan
Paul Martin Knopp
A. Cabellos-Aparicio
GNN
56
245
0
03 Oct 2019
What Can Neural Networks Reason About?
What Can Neural Networks Reason About?
Keyulu Xu
Jingling Li
Mozhi Zhang
S. Du
Ken-ichi Kawarabayashi
Stefanie Jegelka
NAIAI4CE
73
246
0
30 May 2019
Guiding High-Performance SAT Solvers with Unsat-Core Predictions
Guiding High-Performance SAT Solvers with Unsat-Core Predictions
Daniel Selsam
Nikolaj S. Bjørner
NAI
79
121
0
12 Mar 2019
Graph Attention Networks
Graph Attention Networks
Petar Velickovic
Guillem Cucurull
Arantxa Casanova
Adriana Romero
Pietro Lio
Yoshua Bengio
GNN
479
20,225
0
30 Oct 2017
Attention Is All You Need
Attention Is All You Need
Ashish Vaswani
Noam M. Shazeer
Niki Parmar
Jakob Uszkoreit
Llion Jones
Aidan Gomez
Lukasz Kaiser
Illia Polosukhin
3DV
730
132,363
0
12 Jun 2017
Neural Message Passing for Quantum Chemistry
Neural Message Passing for Quantum Chemistry
Justin Gilmer
S. Schoenholz
Patrick F. Riley
Oriol Vinyals
George E. Dahl
596
7,485
0
04 Apr 2017
Semi-Supervised Classification with Graph Convolutional Networks
Semi-Supervised Classification with Graph Convolutional Networks
Thomas Kipf
Max Welling
GNNSSL
652
29,154
0
09 Sep 2016
Batch Normalization: Accelerating Deep Network Training by Reducing
  Internal Covariate Shift
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift
Sergey Ioffe
Christian Szegedy
OOD
463
43,328
0
11 Feb 2015
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
2.0K
150,260
0
22 Dec 2014
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
457
7,666
0
03 Jul 2012
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