Sergey Bartunov

According to our database, Sergey Bartunov authored at least 17 papers between 2011 and 2022.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2022

Equilibrium aggregation: encoding sets via optimization.

Sergey Bartunov, Fabian B. Fuchs, Timothy P. Lillicrap

Proceedings of the Uncertainty in Artificial Intelligence, 2022

2021

Learning a Large Neighborhood Search Algorithm for Mixed Integer Programs.

Nicolas Sonnerat, Pengming Wang, Ira Ktena, Sergey Bartunov, Vinod Nair

CoRR, 2021

Computer-Aided Design as Language.

Yaroslav Ganin, Sergey Bartunov, Yujia Li, Ethan Keller, Stefano Saliceti

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020

Solving Mixed Integer Programs Using Neural Networks.

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

CoRR, 2020

Meta-Learning Deep Energy-Based Memory Models.

Sergey Bartunov, Jack W. Rae, Simon Osindero, Timothy P. Lillicrap

Proceedings of the 8th International Conference on Learning Representations, 2020

2019

Meta-Learning Neural Bloom Filters.

Jack W. Rae, Sergey Bartunov, Timothy P. Lillicrap

Proceedings of the 36th International Conference on Machine Learning, 2019

2018

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

Sergey Bartunov, Adam Santoro, Blake A. Richards, Geoffrey E. Hinton, Timothy P. Lillicrap

CoRR, 2018

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

Sergey Bartunov, Adam Santoro, Blake A. Richards, Luke Marris, Geoffrey E. Hinton, Timothy P. Lillicrap

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Few-shot Generative Modelling with Generative Matching Networks.

Sergey Bartunov, Dmitry P. Vetrov

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2018

2017

Adaptive Cardinality Estimation.

Oleg Ivanov, Sergey Bartunov

CoRR, 2017

StarCraft II: A New Challenge for Reinforcement Learning.

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

CoRR, 2017

Fast Adaptation in Generative Models with Generative Matching Networks.

Sergey Bartunov, Dmitry P. Vetrov

Proceedings of the 5th International Conference on Learning Representations, 2017

2016

One-shot Learning with Memory-Augmented Neural Networks.

Adam Santoro, Sergey Bartunov, Matthew M. Botvinick, Daan Wierstra, Timothy P. Lillicrap

CoRR, 2016

Meta-Learning with Memory-Augmented Neural Networks.

Adam Santoro, Sergey Bartunov, Matthew M. Botvinick, Daan Wierstra, Timothy P. Lillicrap

Proceedings of the 33nd International Conference on Machine Learning, 2016

Breaking Sticks and Ambiguities with Adaptive Skip-gram.

Sergey Bartunov, Dmitry Kondrashkin, Anton Osokin, Dmitry P. Vetrov

Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, 2016

2014

Variational Inference for Sequential Distance Dependent Chinese Restaurant Process.

Sergey Bartunov, Dmitry P. Vetrov

Proceedings of the 31th International Conference on Machine Learning, 2014

2011

WikifyMe: Creating Testbed for Wikifers.

Sergey Bartunov, Alexander Boldakov, Denis Turdakov

Proceedings of the Seventh Spring Researchers Colloquium on Databases and Information Systems, 2011