Sutskever is also AlphaGo and TensorFlow co-inventor. Ilya Sutskever (left), Alex Krizhevsky (centre), Geoffrey Hinton (right) After graduation in 2012, Sutskever spent two months as a postdoc with Andrew Ng at Stanford University. Ilya Sutskever Doctor of Philosophy Graduate Department of Computer Science University of Toronto 2013 Recurrent Neural Networks (RNNs) are powerful sequence models that were believed to be difficult to train, and as a result they were rarely used in machine learning applications. 19286: Advances in neural information processing systems, 3111-3119, 2013. He and Oriol Vinyals and Quoc Le invented Sequence to Sequence Learning. Ilya Sutskever 13 Papers; The Importance of Sampling inMeta-Reinforcement Learning (2018) One-Shot Imitation Learning (2017) An Online Sequence-to-Sequence Model Using Partial Conditioning (2016) Improved Variational Inference with Inverse Autoregressive Flow (2016) Co-Founder and Chief Scientist of OpenAI. Ilya Sutskever Google ilyasu@google.com Oriol Vinyals Google vinyals@google.com Quoc V. Le Google qvl@google.com Abstract Deep Neural Networks (DNNs) are powerful models that have achieved excel-lent performanceon difficult learning tasks. I Sutskever, K Chen, GS Corrado, J Dean. Ilya Sutskever. He is the co-inventor of the renowned neural network AlexNet. 29. Ilya Sutskever is an informatics scientist who works in the field of machine learning and currently serves as OpenAI’s Chief Scientist.
This "Cited by" count includes citations to the following articles in Scholar. Why one form of machine learning will be particularly powerful. Semantic Scholar profile for Ilya Sutskever, with 12797 highly influential citations and 87 scientific research papers.
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