Sergey Bartunov

Computer Science · Physical Sciences

12h-index2.8kcitations22works0.02yr avg
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Research Topics

Advanced Neural Network Applications(5), Generative Adversarial Networks and Image Synthesis(5), Domain Adaptation and Few-Shot Learning(4), Machine Learning and Data Classification(4), Neural Networks and Applications(3)

Publications22 total

Advancing structural biology through breakthroughs in AI
Current Opinion in Structural Biology·2023· 31 cited
Equilibrium Aggregation: Encoding Sets via Optimization
arXiv (Cornell University)·2022· 1 citedOpen Access
Computer-Aided Design as Language
arXiv (Cornell University)·2021Open Access
Learning a Large Neighborhood Search Algorithm for Mixed Integer Programs
arXiv (Cornell University)·2021· 6 citedOpen Access
Computer-Aided Design as Language
arXiv (Cornell University)·2021· 40 citedOpen Access
Exploring the Feasibility and Utility of Machine Learning-Assisted Command and Control: Volume 2, Supporting Technical Analysis
RAND Corporation eBooks·2021· 3 cited
Solving Mixed Integer Programs Using Neural Networks
arXiv (Cornell University)·2020· 42 citedOpen Access
Meta-Learning Deep Energy-Based Memory Models
International Conference on Learning Representations·2020· 2 cited
Meta-Learning Deep Energy-Based Memory Models
arXiv (Cornell University)·2019· 22 citedOpen Access
Meta-Learning Neural Bloom Filters
arXiv (Cornell University)·2019· 6 citedOpen Access
Assessing the Scalability of Biologically-Motivated Deep Learning\n Algorithms and Architectures
arXiv (Cornell University)·2018· 103 citedOpen Access
Assessing the Scalability of Biologically-Motivated Deep Learning Algorithms and Architectures
arXiv (Cornell University)·2018· 108 citedOpen Access
Few-shot Generative Modelling with Generative Matching Networks
International Conference on Artificial Intelligence and Statistics·2018· 59 cited
Adaptive Cardinality Estimation
arXiv (Cornell University)·2017· 9 citedOpen Access
StarCraft II: A New Challenge for Reinforcement Learning
arXiv (Cornell University)·2017· 683 citedOpen Access
Fast Adaptation in Generative Models with Generative Matching Networks
arXiv (Cornell University)·2016· 12 citedOpen Access
Meta-learning with memory-augmented neural networks
International Conference on Machine Learning·2016· 1.3k cited
One-shot Learning with Memory-Augmented Neural Networks
arXiv (Cornell University)·2016· 298 citedOpen Access
Breaking Sticks and Ambiguities with Adaptive Skip-gram
arXiv (Cornell University)·2015· 120 citedOpen Access
Learning Representations in Directed Networks
Communications in computer and information science·2015· 3 cited
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Frequent Co-authors

Timothy Lillicrap(9), Adam Santoro(4), Oriol Vinyals(3), Dmitry Vetrov(3), Yujia Li(3), Jack W. Rae(3), Matthew Botvinick(2), Daan Wierstra(2), Timo Ewalds(2), Petko Georgiev(2), Blake A. Richards(2), Luke Marris(2), Geoffrey E. Hinton(2), Vinod Nair(2), Nicolas Sonnerat(2), Pengming Wang(2), Sofia Ira Ktena(2), Yaroslav Ganin(2), Ethan Anderson Keller(2), Stefano Saliceti(2)