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Adam Roberts

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Publication

Featured researches published by Adam Roberts.

international conference on machine learning | 2017

Neural Audio Synthesis of Musical Notes with WaveNet Autoencoders

Jesse Engel; Cinjon Resnick; Adam Roberts; Sander Dieleman; Douglas Eck; Karen Simonyan; Mohammad Norouzi

international conference on machine learning | 2018

A Hierarchical Latent Vector Modelfor Learning Long-Term Structure in Music

Adam Roberts; Jesse Engel; Colin Raffel; Curtis Hawthorne; Douglas Eck

international conference on learning representations | 2018

Latent Constraints: Learning to Generate Conditionally from Unconditional Generative Models

Jesse Engel; Matthew W. Hoffman; Adam Roberts

arXiv: Sound | 2017

Onsets and Frames: Dual-Objective Piano Transcription.

Curtis Hawthorne; Erich Elsen; Jialin Song; Adam Roberts; Ian Simon; Colin Raffel; Jesse Engel; Sageev Oore; Douglas Eck

international symposium/conference on music information retrieval | 2017

Counterpoint by Convolution

Cheng-Zhi Anna Huang; Tim Cooijmans; Adam Roberts; Aaron C. Courville; Douglas Eck

Archive | 2017

Hierarchical Variational Autoencoders for Music

Adam Roberts; Jesse Engel; Douglas Eck

Archive | 2016

Audio Deepdream: Optimizing raw audio with convolutional networks

Adam Roberts; Cinjon Resnick; Diego Ardila; Doug Eck

arXiv: Sound | 2018

Enabling Factorized Piano Music Modeling and Generation with the MAESTRO Dataset.

Curtis Hawthorne; Andriy Stasyuk; Adam Roberts; Ian Simon; Cheng-Zhi Anna Huang; Sander Dieleman; Erich Elsen; Jesse Engel; Douglas Eck

arXiv: Machine Learning | 2018

Learning a Latent Space of Multitrack Measures.

Ian Simon; Adam Roberts; Colin Raffel; Jesse Engel; Curtis Hawthorne; Douglas Eck

IUI Workshops | 2018

Learning Latent Representations of Music to Generate Interactive Musical Palettes

Adam Roberts; Jesse Engel; Sageev Oore; Douglas Eck

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Collaboration

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Jesse Engel

Baidu

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Curtis Hawthorne

Google

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Douglas Eck

Google

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Douglas Eck

Google

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Colin Raffel

Columbia University

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Erich Elsen

Baidu

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Jesse Engel

Baidu

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Sander Dieleman

Ghent University

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Matthew W. Hoffman

Google

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Aaron C. Courville

Université de Montréal

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