Karen Simonyan
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Karen Simonyan [1]
Karen Simonyan,
a British computer scientist and researcher at Google DeepMind, involved in the WaveNet speech synthesis system, and in the AlphaGo Zero and AlphaZero projects. He received his Ph.D. in computer vision from Oxford University in 2013 [2], and was one of the founders of Vision Factory, an Oxford University spin-off, where his aim was to improve visual recognition systems using deep learning. Vision Factory was acquired by Google DeepMind in October 2014 [3].
Selected Publications
2011 ...
- Karen Simonyan, Andrew Zisserman, Antonio Criminisi (2011). Immediate Structured Visual Search for Medical Images. MICCAI 2011, pdf
- Karen Simonyan (2013). Large-Scale Learning of Discriminative Image Representations. Ph.D. thesis, University of Oxford, advisors Andrew Zisserman and Antonio Criminisi, pdf
2015 ...
- Guillaume Desjardins, Karen Simonyan, Razvan Pascanu, Koray Kavukcuoglu (2015). Natural Neural Networks. arXiv:1507.00210
- Aäron van den Oord, Sander Dieleman, Heiga Zen, Karen Simonyan, Oriol Vinyals, Alex Graves, Nal Kalchbrenner, Andrew Senior, Koray Kavukcuoglu (2016). WaveNet: A Generative Model for Raw Audio. arXiv:1609.03499 [6]
- David Silver, Julian Schrittwieser, Karen Simonyan, Ioannis Antonoglou, Aja Huang, Arthur Guez, Thomas Hubert, Lucas Baker, Matthew Lai, Adrian Bolton, Yutian Chen, Timothy Lillicrap, Fan Hui, Laurent Sifre, George van den Driessche, Thore Graepel, Demis Hassabis (2017). Mastering the game of Go without human knowledge. Nature, Vol. 550
- David Silver, Thomas Hubert, Julian Schrittwieser, Ioannis Antonoglou, Matthew Lai, Arthur Guez, Marc Lanctot, Laurent Sifre, Dharshan Kumaran, Thore Graepel, Timothy Lillicrap, Karen Simonyan, Demis Hassabis (2017). Mastering Chess and Shogi by Self-Play with a General Reinforcement Learning Algorithm. arXiv:1712.01815 » AlphaZero
- Arthur Guez, Théophane Weber, Ioannis Antonoglou, Karen Simonyan, Oriol Vinyals, Daan Wierstra, Rémi Munos, David Silver (2018). Learning to Search with MCTSnets. arXiv:1802.04697
- David Silver, Thomas Hubert, Julian Schrittwieser, Ioannis Antonoglou, Matthew Lai, Arthur Guez, Marc Lanctot, Laurent Sifre, Dharshan Kumaran, Thore Graepel, Timothy Lillicrap, Karen Simonyan, Demis Hassabis (2018). A general reinforcement learning algorithm that masters chess, shogi, and Go through self-play. Science, Vol. 362, No. 6419 [7]
- Julian Schrittwieser, Ioannis Antonoglou, Thomas Hubert, Karen Simonyan, Laurent Sifre, Simon Schmitt, Arthur Guez, Edward Lockhart, Demis Hassabis, Thore Graepel, Timothy Lillicrap, David Silver (2019). Mastering Atari, Go, Chess and Shogi by Planning with a Learned Model. arXiv:1911.08265
2020 ...
External Links
References
- ↑ Image captured from ICLR2015 "Very Deep Convolutional Networks for Large-Scale Image Recognition" YouTube Video, 0:39
- ↑ Karen Simonyan (2013). Large-Scale Learning of Discriminative Image Representations. Ph.D. thesis, University of Oxford, advisors Andrew Zisserman and Antonio Criminisi
- ↑ Teaming up with Oxford University on Artificial Intelligence by Demis Hassabis, Google Europe Blog, October 23, 2014
- ↑ dblp: Karen Simonyan
- ↑ Karen Simonyan
- ↑ WaveNet from Wikipedia
- ↑ AlphaZero: Shedding new light on the grand games of chess, shogi and Go by David Silver, Thomas Hubert, Julian Schrittwieser and Demis Hassabis, DeepMind, December 03, 2018
- ↑ MuZero: Mastering Go, chess, shogi and Atari without rules
