Ian Simon
I joined Google in July 2016 to work on the Magenta project. Our goal is to create music and other art using machine intelligence. Before joining Google, I worked on music recommendations at Smule and music recognition at Microsoft. I received my PhD in Computer Science from the University of Washington, doing work with Steve Seitz on understanding scenes via large online image collections.
Authored Publications
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Google
MT3: Multi-task Multitrack Music Transcription
Josh Gardner
Curtis Glenn-Macway Hawthorne
ICLR 2022 (to appear)
The Chamber Ensemble Generator: Limitless High-Quality MIR Data via Generative Modeling
Yusong Wu
Josh Gardner
Curtis Glenn-Macway Hawthorne
arXiv (2022)
Sequence-to-Sequence Piano Transcription with Transformers
Curtis Glenn-Macway Hawthorne
Rigel Jacob Swavely
ISMIR (2021) (to appear)
Music Transformer: Generating Music with Long-Term Structure
Ashish Vaswani
Jakob Uszkoreit
Noam Shazeer
Curtis Hawthorne
Matt Hoffman
Monica Dinculescu
ICLR (2019)
Enabling Factorized Piano Music Modeling and Generation with the MAESTRO Dataset
Curtis Hawthorne
Andrew Stasyuk
Sander Dieleman
Erich Elsen
ICLR (2019)
Onsets and Frames: Dual-Objective Piano Transcription
Curtis Hawthorne
Erich Elsen
Jialin Song
Colin Raffel
Sageev Oore
Proceedings of the 19th International Society for Music Information Retrieval Conference, ISMIR 2018, Paris, France, 2018
