Adam Roberts earned his PhD in Computer Science from UC Berkeley with a designated
emphasis in Computational and Genomic Biology. He has since focused on combining
music and technology at Google, where he helped to organize the world's music
knowledge for Google Play and is now applying deep learning to the generation of
music and art for Google Brain team's Magenta project.
Google Publications
-
A Hierarchical Latent Vector Model for Learning
Long-Term Structure in Music
Adam Roberts, Jesse Engel, Colin Raffel, Curtis Hawthorne, Douglas Eck
arXiv Preprint (2018)
-
Latent Constraints: Learning to Generate
Conditionally from Unconditional Generative Models
Adam Roberts, Jesse Engel, Matt Hoffman
ICLR (2018) (to appear)
-
Learning Latent Representations of Music to
Generate Interactive Musical Palettes
Adam Roberts, Jesse Engel, Sageev Oore, Douglas Eck
-
Counterpoint by Convolution
Cheng-Zhi Anna Huang, Tim Cooijmans, Adam Roberts, Aaron Courville, Douglas Eck
Proceedings of ISMIR 2017
-
Hierarchical Variational Autoencoders for Music
Adam Roberts, Jesse Engel, Douglas
Eck
(2017)
-
Neural Audio Synthesis of Musical Notes with
WaveNet Autoencoders
Jesse Engel, Cinjon Resnick, Adam Roberts, Sander Dieleman, Douglas Eck, Karen Simonyan, Mohammad Norouzi
ICML (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
arXiv Preprint (2017)
-
Audio Deepdream: Optimizing raw audio with
convolutional networks
Adam Roberts, Cinjon Resnick, Diego Ardila,
Doug Eck
International Society for Music Information Retrieval Conference, Google Brain
(2016)
-
Multi-Task Convolutional Music Models
Adam Roberts, Cinjon Resnick, Diego Ardila,
Doug Eck
BayLearn (2016)
Previous Publications
-
Streaming fragment assignment for real-time analysis of sequencing experiments.
Adam Roberts, Lior Pachter
Nature Methods, vol. 10 (2013)
-
Improving RNA-Seq expression estimates by correcting for fragment bias
Adam Roberts, Cole Trapnell, Julie Donaghey, John
L Rinn, Lior Pachter
Genome Biology, vol. 12 (2010)
