Ian Simon

Publication Activity (10 Years)

Years Active: 2002-2023
Publications (10 Years): 25

Top Topics

Music Information Retrieval

Musical Instruments

Diffusion Model

Top Venues

Publications

Chris Donahue, Antoine Caillon, Adam Roberts, Ethan Manilow, Philippe Esling, Andrea Agostinelli, Mauro Verzetti, Ian Simon, Olivier Pietquin, Neil Zeghidour, Jesse H. Engel
SingSong: Generating musical accompaniments from singing. CoRR (2023)
Ian Simon, Josh Gardner, Curtis Hawthorne, Ethan Manilow, Jesse H. Engel
Scaling Polyphonic Transcription with Mixtures of Monophonic Transcriptions. ISMIR (2022)
Yusong Wu, Josh Gardner, Ethan Manilow, Ian Simon, Curtis Hawthorne, Jesse H. Engel
The Chamber Ensemble Generator: Limitless High-Quality MIR Data via Generative Modeling. CoRR (2022)
Curtis Hawthorne, Andrew Jaegle, Catalina Cangea, Sebastian Borgeaud, Charlie Nash, Mateusz Malinowski, Sander Dieleman, Oriol Vinyals, Matthew Botvinick, Ian Simon, Hannah Sheahan, Neil Zeghidour, Jean-Baptiste Alayrac, João Carreira, Jesse H. Engel
General-purpose, long-context autoregressive modeling with Perceiver AR. CoRR (2022)
Curtis Hawthorne, Ian Simon, Adam Roberts, Neil Zeghidour, Josh Gardner, Ethan Manilow, Jesse H. Engel
Multi-instrument Music Synthesis with Spectrogram Diffusion. ISMIR (2022)
Josh Gardner, Ian Simon, Ethan Manilow, Curtis Hawthorne, Jesse H. Engel
MT3: Multi-Task Multitrack Music Transcription. ICLR (2022)
Curtis Hawthorne, Ian Simon, Adam Roberts, Neil Zeghidour, Josh Gardner, Ethan Manilow, Jesse H. Engel
Multi-instrument Music Synthesis with Spectrogram Diffusion. CoRR (2022)
Curtis Hawthorne, Andrew Jaegle, Catalina Cangea, Sebastian Borgeaud, Charlie Nash, Mateusz Malinowski, Sander Dieleman, Oriol Vinyals, Matthew M. Botvinick, Ian Simon, Hannah Sheahan, Neil Zeghidour, Jean-Baptiste Alayrac, João Carreira, Jesse H. Engel
General-purpose, long-context autoregressive modeling with Perceiver AR. ICML (2022)
Josh Gardner, Ian Simon, Ethan Manilow, Curtis Hawthorne, Jesse H. Engel
MT3: Multi-Task Multitrack Music Transcription. CoRR (2021)
Curtis Hawthorne, Ian Simon, Rigel Swavely, Ethan Manilow, Jesse H. Engel
Sequence-to-Sequence Piano Transcription with Transformers. ISMIR (2021)
Gautam Mittal, Jesse H. Engel, Curtis Hawthorne, Ian Simon
Symbolic Music Generation with Diffusion Models. ISMIR (2021)
Gautam Mittal, Jesse H. Engel, Curtis Hawthorne, Ian Simon
Symbolic Music Generation with Diffusion Models. CoRR (2021)
Curtis Hawthorne, Ian Simon, Rigel Swavely, Ethan Manilow, Jesse H. Engel
Sequence-to-Sequence Piano Transcription with Transformers. CoRR (2021)
Sageev Oore, Ian Simon, Sander Dieleman, Douglas Eck, Karen Simonyan
This time with feeling: learning expressive musical performance. Neural Comput. Appl. 32 (4) (2020)
Kristy Choi, Curtis Hawthorne, Ian Simon, Monica Dinculescu, Jesse H. Engel
Encoding Musical Style with Transformer Autoencoders. ICML (2020)
Curtis Hawthorne, Andriy Stasyuk, Adam Roberts, Ian Simon, Cheng-Zhi Anna Huang, Sander Dieleman, Erich Elsen, Jesse H. Engel, Douglas Eck
Enabling Factorized Piano Music Modeling and Generation with the MAESTRO Dataset. ICLR (2019)
Kristy Choi, Curtis Hawthorne, Ian Simon, Monica Dinculescu, Jesse H. Engel
Encoding Musical Style with Transformer Autoencoders. CoRR (2019)
Chris Donahue, Ian Simon, Sander Dieleman
Piano Genie. IUI (2019)
Cheng-Zhi Anna Huang, Ashish Vaswani, Jakob Uszkoreit, Ian Simon, Curtis Hawthorne, Noam Shazeer, Andrew M. Dai, Matthew D. Hoffman, Monica Dinculescu, Douglas Eck
Music Transformer: Generating Music with Long-Term Structure. ICLR (Poster) (2019)
Curtis Hawthorne, Erich Elsen, Jialin Song, Adam Roberts, Ian Simon, Colin Raffel, Jesse H. Engel, Sageev Oore, Douglas Eck
Onsets and Frames: Dual-Objective Piano Transcription. ISMIR (2018)
Ian Simon, Adam Roberts, Colin Raffel, Jesse H. Engel, Curtis Hawthorne, Douglas Eck
Learning a Latent Space of Multitrack Measures. CoRR (2018)
Curtis Hawthorne, Andriy Stasyuk, Adam Roberts, Ian Simon, Cheng-Zhi Anna Huang, Sander Dieleman, Erich Elsen, Jesse H. Engel, Douglas Eck
Enabling Factorized Piano Music Modeling and Generation with the MAESTRO Dataset. CoRR (2018)
Sageev Oore, Ian Simon, Sander Dieleman, Douglas Eck, Karen Simonyan
This Time with Feeling: Learning Expressive Musical Performance. CoRR (2018)
Chris Donahue, Ian Simon, Sander Dieleman
Piano Genie. CoRR (2018)
Curtis Hawthorne, Erich Elsen, Jialin Song, Adam Roberts, Ian Simon, Colin Raffel, Jesse H. Engel, Sageev Oore, Douglas Eck
Onsets and Frames: Dual-Objective Piano Transcription. CoRR (2017)
Sameer Agarwal, Yasutaka Furukawa, Noah Snavely, Ian Simon, Brian Curless, Steven M. Seitz, Richard Szeliski
Building Rome in a day. Commun. ACM 54 (10) (2011)
Noah Snavely, Ian Simon, Michael Goesele, Richard Szeliski, Steven M. Seitz
Scene Reconstruction and Visualization From Community Photo Collections. Proc. IEEE 98 (8) (2010)
Sameer Agarwal, Noah Snavely, Ian Simon, Steven M. Seitz, Richard Szeliski
Building Rome in a day. ICCV (2009)
Dan Morris, Ian Simon, Sumit Basu
Exposing Parameters of a Trained Dynamic Model for Interactive Music Creation. AAAI (2008)
Ian Simon, Steven M. Seitz
Scene Segmentation Using the Wisdom of Crowds. ECCV (2) (2008)
Ian Simon, Dan Morris, Sumit Basu
MySong: automatic accompaniment generation for vocal melodies. CHI (2008)
Ian Simon, Steven M. Seitz
A Probabilistic Model for Object Recognition, Segmentation, and Non-Rigid Correspondence. CVPR (2007)
Ian Simon, Noah Snavely, Steven M. Seitz
Scene Summarization for Online Image Collections. ICCV (2007)
Ian Simon, Sumit Basu, David Salesin, Maneesh Agrawala
Audio Analogies: Creating New Music from an Existing Performance by concatenative synthesis. ICMC (2005)
Robert Pless, Ian Simon
Using Thousands of Images of an Object. JCIS (2002)