| Meta-learning with memory-augmented neural networks A Santoro, S Bartunov, M Botvinick, D Wierstra, T Lillicrap International conference on machine learning, 1842-1850, 2016 | 3113 | 2016 |
| Starcraft ii: A new challenge for reinforcement learning O Vinyals, T Ewalds, S Bartunov, P Georgiev, AS Vezhnevets, M Yeo, ... arXiv preprint arXiv:1708.04782, 2017 | 1089 | 2017 |
| Assessing the scalability of biologically-motivated deep learning algorithms and architectures S Bartunov, A Santoro, B Richards, L Marris, GE Hinton, T Lillicrap Advances in neural information processing systems 31, 2018 | 295 | 2018 |
| Solving mixed integer programs using neural networks V Nair, S Bartunov, F Gimeno, I Von Glehn, P Lichocki, I Lobov, ... arXiv preprint arXiv:2012.13349, 2020 | 274 | 2020 |
| Breaking sticks and ambiguities with adaptive skip-gram S Bartunov, D Kondrashkin, A Osokin, D Vetrov artificial intelligence and statistics, 130-138, 2016 | 224 | 2016 |
| Joint link-attribute user identity resolution in online social networks S Bartunov, A Korshunov, ST Park, W Ryu, H Lee Proceedings of the 6th International Conference on Knowledge Discovery and …, 2012 | 178 | 2012 |
| Few-shot generative modelling with generative matching networks S Bartunov, D Vetrov International Conference on Artificial Intelligence and Statistics, 670-678, 2018 | 147* | 2018 |
| Computer-aided design as language Y Ganin, S Bartunov, Y Li, E Keller, S Saliceti Advances in Neural Information Processing Systems 34, 5885-5897, 2021 | 81 | 2021 |
| Learning a large neighborhood search algorithm for mixed integer programs N Sonnerat, P Wang, I Ktena, S Bartunov, V Nair arXiv preprint arXiv:2107.10201, 2021 | 45 | 2021 |
| Meta-learning neural bloom filters J Rae, S Bartunov, T Lillicrap International Conference on Machine Learning, 5271-5280, 2019 | 41 | 2019 |
| Meta-learning deep energy-based memory models S Bartunov, JW Rae, S Osindero, TP Lillicrap arXiv preprint arXiv:1910.02720, 2019 | 37 | 2019 |
| Идентификация пользователей социальных сетей в Интернет на основе социальных связей С Бартунов, А Коршунов Труды конференции по Анализу Изображений Сетей и Текстов (АИСТ), 2012 | 34 | 2012 |
| Adaptive cardinality estimation O Ivanov, S Bartunov arXiv preprint arXiv:1711.08330, 2017 | 30 | 2017 |
| Augmenting neural networks with external memory AA Santoro, DP Wiestra, TP Lillicrap, S Bartunov, I Danihelka US Patent 10,885,426, 2021 | 17 | 2021 |
| Scalable and compressive neural network data storage system JW Rae, TP Lillicrap, S Bartunov US Patent 10,846,588, 2020 | 13 | 2020 |
| Equilibrium aggregation: Encoding sets via optimization S Bartunov, FB Fuchs, TP Lillicrap Uncertainty in Artificial Intelligence, 139-149, 2022 | 9 | 2022 |
| Learning representations in directed networks OU Ivanov, SO Bartunov Analysis of Images, Social Networks and Texts: 4th International Conference …, 2015 | 9 | 2015 |
| WikifyMe: Creating Testbed for Wikifers. S Bartunov, A Boldakov, D Turdakov SYRCoDIS, 38-42, 2011 | 4 | 2011 |
| Variational inference for sequential distance dependent Chinese restaurant process S Bartunov, D Vetrov International Conference on Machine Learning, 1404-1412, 2014 | 3 | 2014 |
| Continuous latent search for combinatorial optimization S Bartunov, V Nair, P Battaglia, T Lillicrap Learning Meets Combinatorial Algorithms at NeurIPS2020, 2020 | 2 | 2020 |
