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

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

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

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

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

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

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

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

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

Meta-Learning Deep Energy-Based Memory Models. - Sergey Bartunov; Jack W. Rae; Simon Osindero; Timothy P. Lillicrap (ICLR, 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 001; Ravichandra Addanki; Tharindi Hapuarachchi; et al. (CoRR, 2020)

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

Learning a Large Neighborhood Search Algorithm for Mixed Integer Programs. - Nicolas Sonnerat; Pengming Wang 001; Ira Ktena; Sergey Bartunov; Vinod Nair (CoRR, 2021)

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