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Nal Kalchbrenner

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About

Nal Kalchbrenner is a Deep Learning Scientist and co-founder of Google Research Amsterdam, specializing in distributed learning. He presents a selection of his research, which includes influential contributions like MetNet, Axial Attention, WaveRNN, ByteNet, Video Pixel Networks, and AlphaGo. His work touches on various aspects of deep learning, including precipitation forecasting, efficient audio synthesis, machine translation, and advancements in neural networks. He has a strong academic background with degrees from Stanford, University of Amsterdam, and Oxford.

Platform
Web
Keywords
researchdeep learningneural networksmachine translationdistributed learning
Task
research collection
Features

• neural weather model (metnet) for precipitation forecasting

• groundbreaking work on alphago

• innovative video models (video pixel networks)

• neural machine translation (bytenet)

• efficient audio synthesis (wavernn)

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