Sergey Bartunov

23 papers A* 6A 3Journal 12Unranked 2

Year	Rank	Type	Title / Venue / Authors
2022	J	`jnl`	Equilibrium Aggregation: Encoding Sets via Optimization. CoRR Sergey Bartunov, Fabian B. Fuchs, Timothy P. Lillicrap
2022	A	`conf`	Equilibrium aggregation: encoding sets via optimization. UAI Sergey Bartunov, Fabian B. Fuchs, Timothy P. Lillicrap
2021	A*	`conf`	Computer-Aided Design as Language. NeurIPS Yaroslav Ganin, Sergey Bartunov, Yujia Li, Ethan Keller, Stefano Saliceti
2021	J	`jnl`	Computer-Aided Design as Language. CoRR Yaroslav Ganin, Sergey Bartunov, Yujia Li, Ethan Keller, Stefano Saliceti
2021	J	`jnl`	Learning a Large Neighborhood Search Algorithm for Mixed Integer Programs. CoRR Nicolas Sonnerat, Pengming Wang, Ira Ktena, Sergey Bartunov, Vinod Nair
2020	A*	`conf`	Meta-Learning Deep Energy-Based Memory Models. ICLR Sergey Bartunov, Jack W. Rae, Simon Osindero, Timothy P. Lillicrap
2020	J	`jnl`	Solving Mixed Integer Programs Using Neural Networks. CoRR 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
2019	J	`jnl`	Meta-Learning Deep Energy-Based Memory Models. CoRR Sergey Bartunov, Jack W. Rae, Simon Osindero, Timothy P. Lillicrap
2019	A*	`conf`	Meta-Learning Neural Bloom Filters. ICML Jack W. Rae, Sergey Bartunov, Timothy P. Lillicrap
2019	J	`jnl`	Meta-Learning Neural Bloom Filters. CoRR Jack W. Rae, Sergey Bartunov, Timothy P. Lillicrap
2018	A*	`conf`	Assessing the Scalability of Biologically-Motivated Deep Learning Algorithms and Architectures. NeurIPS Sergey Bartunov, Adam Santoro, Blake A. Richards, Luke Marris, Geoffrey E. Hinton, Timothy P. Lillicrap
2018	J	`jnl`	Assessing the Scalability of Biologically-Motivated Deep Learning Algorithms and Architectures. CoRR Sergey Bartunov, Adam Santoro, Blake A. Richards, Geoffrey E. Hinton, Timothy P. Lillicrap
2018	A	`conf`	Few-shot Generative Modelling with Generative Matching Networks. AISTATS Sergey Bartunov, Dmitry P. Vetrov
2017	J	`jnl`	Adaptive Cardinality Estimation. CoRR Oleg Ivanov, Sergey Bartunov
2017	—	`conf`	Fast Adaptation in Generative Models with Generative Matching Networks. ICLR (Workshop) Sergey Bartunov, Dmitry P. Vetrov
2017	J	`jnl`	StarCraft II: A New Challenge for Reinforcement Learning. CoRR 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
2016	A	`conf`	Breaking Sticks and Ambiguities with Adaptive Skip-gram. AISTATS Sergey Bartunov, Dmitry Kondrashkin, Anton Osokin, Dmitry P. Vetrov
2016	J	`jnl`	Fast Adaptation in Generative Models with Generative Matching Networks. CoRR Sergey Bartunov, Dmitry P. Vetrov
2016	A*	`conf`	Meta-Learning with Memory-Augmented Neural Networks. ICML Adam Santoro, Sergey Bartunov, Matthew M. Botvinick, Daan Wierstra, Timothy P. Lillicrap
2016	J	`jnl`	One-shot Learning with Memory-Augmented Neural Networks. CoRR Adam Santoro, Sergey Bartunov, Matthew M. Botvinick, Daan Wierstra, Timothy P. Lillicrap
2015	J	`jnl`	Breaking Sticks and Ambiguities with Adaptive Skip-gram. CoRR Sergey Bartunov, Dmitry Kondrashkin, Anton Osokin, Dmitry P. Vetrov
2014	A*	`conf`	Variational Inference for Sequential Distance Dependent Chinese Restaurant Process. ICML Sergey Bartunov, Dmitry P. Vetrov
2011	—	`conf`	WikifyMe: Creating Testbed for Wikifers. SYRCoDIS Sergey Bartunov, Alexander Boldakov, Denis Turdakov