Alex Graves
First author of Neural Turing Machines and of the Google DeepMind differentiable neural computer paper
Alex Graves's University of Toronto homepage lists research interests in recurrent neural networks, especially LSTM, supervised sequence labelling such as speech and handwriting recognition, and unsupervised sequence learning, along with papers including "Generating Sequences With Recurrent Neural Networks". The homepage describes a CIFAR Junior Fellowship in the Department of Computer Science at the University of Toronto, supervised by Geoffrey Hinton. Graves is first author of "Neural Turing Machines" (2014), which couples neural networks to an external memory, and of the 2016 Nature paper on the differentiable neural computer, whose authors are listed with Google DeepMind affiliations.123
Work
Differentiable neural computer (external site: nature.com)Published research
First author of "Hybrid computing using a neural network with dynamic external memory" (Nature, October 2016), whose authors are listed with Google DeepMind affiliations.3
Neural Turing Machines (external site: arxiv.org)Published research
First author, with Greg Wayne and Ivo Danihelka, of the 2014 paper that couples neural networks to external memory resources through attention, giving a system that is differentiable end to end and can infer simple algorithms such as copying and sorting.2
Other documented roles
Roles the sources document but that are not confirmed as current.
- Author affiliated with Google DeepMind on the 2016 Nature paper on the differentiable neural computer, Google DeepMind3
- CIFAR Junior Fellow supervised by Geoffrey Hinton, University of Toronto (Department of Computer Science)1
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