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Equilibrium Aggregation: Encoding Sets via Optimization


Feb 25, 2022
Sergey Bartunov, Fabian B. Fuchs, Timothy Lillicrap

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Learning a Large Neighborhood Search Algorithm for Mixed Integer Programs


Jul 22, 2021
Nicolas Sonnerat, Pengming Wang, Ira Ktena, Sergey Bartunov, Vinod Nair

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Computer-Aided Design as Language


May 06, 2021
Yaroslav Ganin, Sergey Bartunov, Yujia Li, Ethan Keller, Stefano Saliceti

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* 24 pages, 11 figures, 3 tables 

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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

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* 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

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* 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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