Equilibrium aggregation: encoding sets via optimization. - Bartunov, Sergey; Fuchs, Fabian B.; Lillicrap, Timothy P. (2022)

Equilibrium Aggregation: Encoding Sets via Optimization. - Bartunov, Sergey; Fuchs, Fabian B.; Lillicrap, Timothy P. (CoRR, 2022)

Computer-Aided Design as Language. - Ganin, Yaroslav; Bartunov, Sergey; Li, Yujia; Keller, Ethan; Saliceti, Stefano (2021)

Computer-Aided Design as Language. - Ganin, Yaroslav; Bartunov, Sergey; Li, Yujia; Keller, Ethan; Saliceti, Stefano (CoRR, 2021)

Learning a Large Neighborhood Search Algorithm for Mixed Integer Programs. - Sonnerat, Nicolas; Wang, Pengming; Ktena, Ira; Bartunov, Sergey; Nair, Vinod (CoRR, 2021)

Meta-Learning Deep Energy-Based Memory Models. - Bartunov, Sergey; Rae, Jack W.; Osindero, Simon; Lillicrap, Timothy P. (2020)

Solving Mixed Integer Programs Using Neural Networks. - Nair, Vinod; Bartunov, Sergey; Gimeno, Felix; Glehn, Ingrid von; Lichocki, Pawel; Lobov, Ivan; O'Donoghue, Brendan; Sonnerat, Nicolas; Tjandraatmadja, Christian; Wang, Pengming; Addanki, Ravichandra; Hapuarachchi, Tharindi; et al. (CoRR, 2020)

Meta-Learning Neural Bloom Filters. - Rae, Jack W.; Bartunov, Sergey; Lillicrap, Timothy P. (2019)

Meta-Learning Neural Bloom Filters. - Rae, Jack W.; Bartunov, Sergey; Lillicrap, Timothy P. (CoRR, 2019)

Meta-Learning Deep Energy-Based Memory Models. - Bartunov, Sergey; Rae, Jack W.; Osindero, Simon; Lillicrap, Timothy P. (CoRR, 2019)

Few-shot Generative Modelling with Generative Matching Networks. - Bartunov, Sergey; Vetrov, Dmitry P. (2018)

Assessing the Scalability of Biologically-Motivated Deep Learning Algorithms and Architectures. - Bartunov, Sergey; Santoro, Adam; Richards, Blake A.; Marris, Luke; Hinton, Geoffrey E.; Lillicrap, Timothy P. (2018)

Assessing the Scalability of Biologically-Motivated Deep Learning Algorithms and Architectures. - Bartunov, Sergey; Santoro, Adam; Richards, Blake A.; Hinton, Geoffrey E.; Lillicrap, Timothy P. (CoRR, 2018)

Fast Adaptation in Generative Models with Generative Matching Networks. - Bartunov, Sergey; Vetrov, Dmitry P. (2017)

StarCraft II: A New Challenge for Reinforcement Learning. - Vinyals, Oriol; Ewalds, Timo; Bartunov, Sergey; Georgiev, Petko; Vezhnevets, Alexander Sasha; Yeo, Michelle; Makhzani, Alireza; Küttler, Heinrich; Agapiou, John P.; Schrittwieser, Julian; Quan, John; Gaffney, Stephen; et al. (CoRR, 2017)

Adaptive Cardinality Estimation. - Ivanov, Oleg; Bartunov, Sergey (CoRR, 2017)

Breaking Sticks and Ambiguities with Adaptive Skip-gram. - Bartunov, Sergey; Kondrashkin, Dmitry; Osokin, Anton; Vetrov, Dmitry P. (2016)

Meta-Learning with Memory-Augmented Neural Networks. - Santoro, Adam; Bartunov, Sergey; Botvinick, Matthew M.; Wierstra, Daan; Lillicrap, Timothy P. (2016)

One-shot Learning with Memory-Augmented Neural Networks. - Santoro, Adam; Bartunov, Sergey; Botvinick, Matthew M.; Wierstra, Daan; Lillicrap, Timothy P. (CoRR, 2016)

Fast Adaptation in Generative Models with Generative Matching Networks. - Bartunov, Sergey; Vetrov, Dmitry P. (CoRR, 2016)

Breaking Sticks and Ambiguities with Adaptive Skip-gram. - Bartunov, Sergey; Kondrashkin, Dmitry; Osokin, Anton; Vetrov, Dmitry P. (CoRR, 2015)

Variational Inference for Sequential Distance Dependent Chinese Restaurant Process. - Bartunov, Sergey; Vetrov, Dmitry P. (2014)

WikifyMe: Creating Testbed for Wikifers. - Bartunov, Sergey; Boldakov, Alexander; Turdakov, Denis (2011)