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Solving Mixed Integer Programs Using Neural Networks


Dec 23, 2020
Vinod Nair, Sergey Bartunov, Felix Gimeno, Ingrid von Glehn, Pawel Lichocki, Ivan Lobov, Brendan O'Donoghue, Nicolas Sonnerat, Christian Tjandraatmadja, Pengming Wang, Ravichandra Addanki, Tharindi Hapuarachchi, Thomas Keck, James Keeling, Pushmeet Kohli, Ira Ktena, Yujia Li, Oriol Vinyals, Yori Zwols


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Meta-Learning Deep Energy-Based Memory Models


Oct 07, 2019
Sergey Bartunov, Jack W Rae, Simon Osindero, Timothy P Lillicrap


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Meta-Learning Neural Bloom Filters


Jun 10, 2019
Jack W Rae, Sergey Bartunov, Timothy P Lillicrap

* International Conference on Machine Learning 2019 

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Assessing the Scalability of Biologically-Motivated Deep Learning Algorithms and Architectures


Jul 12, 2018
Sergey Bartunov, Adam Santoro, Blake A. Richards, Geoffrey E. Hinton, Timothy Lillicrap


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Adaptive Cardinality Estimation


Nov 22, 2017
Oleg Ivanov, Sergey Bartunov

* 12 pages, 11 figures, 1 table 

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Fast Adaptation in Generative Models with Generative Matching Networks


Sep 05, 2017
Sergey Bartunov, Dmitry P. Vetrov


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StarCraft II: A New Challenge for Reinforcement Learning


Aug 16, 2017
Oriol Vinyals, Timo Ewalds, Sergey Bartunov, Petko Georgiev, Alexander Sasha Vezhnevets, Michelle Yeo, Alireza Makhzani, Heinrich Küttler, John Agapiou, Julian Schrittwieser, John Quan, Stephen Gaffney, Stig Petersen, Karen Simonyan, Tom Schaul, Hado van Hasselt, David Silver, Timothy Lillicrap, Kevin Calderone, Paul Keet, Anthony Brunasso, David Lawrence, Anders Ekermo, Jacob Repp, Rodney Tsing

* Collaboration between DeepMind & Blizzard. 20 pages, 9 figures, 2 tables 

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One-shot Learning with Memory-Augmented Neural Networks


May 19, 2016
Adam Santoro, Sergey Bartunov, Matthew Botvinick, Daan Wierstra, Timothy Lillicrap

* 13 pages, 8 figures 

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Breaking Sticks and Ambiguities with Adaptive Skip-gram


Nov 15, 2015
Sergey Bartunov, Dmitry Kondrashkin, Anton Osokin, Dmitry Vetrov


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