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Algorithms have been fundamental to recent global technological advances and, in particular, they have been the cornerstone of technical advances in one field rapidly being applied to another.
Fundamentals of a method for evaluating rail net capacities
TE Harris and FS Ross · 1955
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A note on two problems in connexion with graphs
Edsger W Dijkstra et al · 1959
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Introduction to Algorithms
Thomas H Cormen, Charles E Leiserson, Ronald L Rivest, and Clifford Stein · 2009
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Alex Graves, Greg Wayne, and Ivo Danihelka · 2014
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Łukasz Kaiser and Ilya Sutskever · 2015
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Karol Kurach, Marcin Andrychowicz, and Ilya Sutskever · 2015
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Neural programmer-interpreters
Scott Reed and Nando De Freitas · 2015
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TreeQN and ATreeC: Differentiable tree-structured models for deep reinforcement learning
Gregory Farquhar, Tim Rocktäschel, Maximilian Igl, and Shimon Whiteson · 2017
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Neural execution of graph algorithms
Petar Veličković, Rex Ying, Matilde Padovano, Raia Hadsell, and Charles Blundell · 2019
Cited alongside, same era.
XLVIN: eXecuted Latent Value Iteration Nets
Andreea Deac, Petar Veličković, Ognjen Milinković, Pierre-Luc Bacon, Jian Tang, and Mladen Nikolić · 2020
Later among the works it cites.
Strong generalization and efficiency in neural programs
Yujia Li, Felix Gimeno, Pushmeet Kohli, and Oriol Vinyals · 2020
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Petar Veličković, Lars Buesing, Matthew C Overlan, Razvan Pascanu, Oriol Vinyals, and Charles Blundell · 2020
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Combinatorial optimization and reasoning with graph neural networks
Quentin Cappart, Didier Chételat, Elias Khalil, Andrea Lodi, Christopher Morris, and Petar Veličković · 2021
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