EPAM Systems (United States)
Computer Science · Physical Sciences
15h-index1.3kcitations30works0.02yr avg
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Research Topics
Generative Adversarial Networks and Image Synthesis(7), Topic Modeling(6), Video Analysis and Summarization(5), Natural Language Processing Techniques(4), Multimodal Machine Learning Applications(4)
Publications30 total
Neural Networks·2020· 29 citedOpen Access
Proceedings of the AAAI Conference on Artificial Intelligence·2020· 57 citedOpen Access
Computer Vision and Image Understanding·2020· 25 citedOpen Access
FVD: A new Metric for Video Generation
International Conference on Learning Representations·2019· 47 cited
2019· 6 citedOpen Access
arXiv (Cornell University)·2018· 7 citedOpen Access
arXiv (Cornell University)·2018· 193 citedOpen Access
A Case for Object Compositionality in Deep Generative Models of Images
2018· 12 cited
arXiv (Cornell University)·2018· 31 citedOpen Access
arXiv (Cornell University)·2018· 124 citedOpen Access
arXiv (Cornell University)·2018Open Access
arXiv (Cornell University)·2017· 77 citedOpen Access
arXiv (Cornell University)·2017· 29 citedOpen Access
arXiv (Cornell University)·2017Open Access
arXiv (Cornell University)·2017· 7 citedOpen Access
Annals of Computer Science and Information Systems·2016· 12 citedOpen Access
2016· 175 citedOpen Access
arXiv (Cornell University)·2016· 140 citedOpen Access
Deep Neural Architectures for Algorithms and Sequential Data
2016
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Frequent Co-authors
Sylvain Gelly(13), Marcin Michalski(8), Krzysztof Pawłowski(7), Sjoerd van Steenkiste(5), Olivier Bousquet(5), Damien Vincent(4), Ilya Sutskever(3), Thomas Unterthiner(3), Raphaël Marinier(3), Anjuli Kannan(3), Tobias Kaufmann(3), Andrew Tomkins(3), Miklós Bálint(3), Greg S. Corrado(3), Lukács László(3), Marina Ganea(3), Vivek Ramavajjala(3), Mario Lučić(3), Xiaohua Zhai(3), Olivier Teytaud(3)