Ian Simon

According to our database, Ian Simon authored at least 26 papers between 2002 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Adaptive Accompaniment with ReaLchords.

Yusong Wu, Tim Cooijmans, Kyle Kastner, Adam Roberts, Ian Simon, Alexander Scarlatos, Chris Donahue, Cassie Tarakajian, Shayegan Omidshafiei, Aaron C. Courville, Pablo Samuel Castro, Natasha Jaques, Cheng-Zhi Anna Huang

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

SingSong: Generating musical accompaniments from singing.

Chris Donahue, Antoine Caillon, Adam Roberts, Ethan Manilow, Philippe Esling, Andrea Agostinelli, Mauro Verzetti, Ian Simon, Olivier Pietquin, Neil Zeghidour, Jesse H. Engel

CoRR, 2023

2022

The Chamber Ensemble Generator: Limitless High-Quality MIR Data via Generative Modeling.

Yusong Wu, Josh Gardner, Ethan Manilow, Ian Simon, Curtis Hawthorne, Jesse H. Engel

CoRR, 2022

Scaling Polyphonic Transcription with Mixtures of Monophonic Transcriptions.

Ian Simon, Josh Gardner, Curtis Hawthorne, Ethan Manilow, Jesse H. Engel

Proceedings of the 23rd International Society for Music Information Retrieval Conference, 2022

Multi-instrument Music Synthesis with Spectrogram Diffusion.

Curtis Hawthorne, Ian Simon, Adam Roberts, Neil Zeghidour, Josh Gardner, Ethan Manilow, Jesse H. Engel

Proceedings of the 23rd International Society for Music Information Retrieval Conference, 2022

General-purpose, long-context autoregressive modeling with Perceiver AR.

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

Proceedings of the International Conference on Machine Learning, 2022

MT3: Multi-Task Multitrack Music Transcription.

Josh Gardner, Ian Simon, Ethan Manilow, Curtis Hawthorne, Jesse H. Engel

Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

Symbolic Music Generation with Diffusion Models.

Gautam Mittal, Jesse H. Engel, Curtis Hawthorne, Ian Simon

Proceedings of the 22nd International Society for Music Information Retrieval Conference, 2021

Sequence-to-Sequence Piano Transcription with Transformers.

Curtis Hawthorne, Ian Simon, Rigel Swavely, Ethan Manilow, Jesse H. Engel

Proceedings of the 22nd International Society for Music Information Retrieval Conference, 2021

2020

This time with feeling: learning expressive musical performance.

Sageev Oore, Ian Simon, Sander Dieleman, Douglas Eck, Karen Simonyan

Neural Comput. Appl., 2020

Encoding Musical Style with Transformer Autoencoders.

Kristy Choi, Curtis Hawthorne, Ian Simon, Monica Dinculescu, Jesse H. Engel

Proceedings of the 37th International Conference on Machine Learning, 2020

2019

Piano Genie.

Chris Donahue, Ian Simon, Sander Dieleman

Proceedings of the 24th International Conference on Intelligent User Interfaces, 2019

Music Transformer: Generating Music with Long-Term Structure.

Cheng-Zhi Anna Huang, Ashish Vaswani, Jakob Uszkoreit, Ian Simon, Curtis Hawthorne, Noam Shazeer, Andrew M. Dai, Matthew D. Hoffman, Monica Dinculescu, Douglas Eck

Proceedings of the 7th International Conference on Learning Representations, 2019

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 H. Engel, Douglas Eck

Proceedings of the 7th International Conference on Learning Representations, 2019

2018

Learning a Latent Space of Multitrack Measures.

Ian Simon, Adam Roberts, Colin Raffel, Jesse H. Engel, Curtis Hawthorne, Douglas Eck

CoRR, 2018

Onsets and Frames: Dual-Objective Piano Transcription.

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

Proceedings of the 19th International Society for Music Information Retrieval Conference, 2018

2011

Building Rome in a day.

Sameer Agarwal, Yasutaka Furukawa, Noah Snavely, Ian Simon, Brian Curless, Steven M. Seitz, Richard Szeliski

Commun. ACM, 2011

2010

Scene Reconstruction and Visualization From Community Photo Collections.

Noah Snavely, Ian Simon, Michael Goesele, Richard Szeliski, Steven M. Seitz

Proc. IEEE, 2010

2009

Building Rome in a day.

Sameer Agarwal, Noah Snavely, Ian Simon, Steven M. Seitz, Richard Szeliski

Proceedings of the IEEE 12th International Conference on Computer Vision, ICCV 2009, Kyoto, Japan, September 27, 2009

2008

Scene Segmentation Using the Wisdom of Crowds.

Ian Simon, Steven M. Seitz

Proceedings of the Computer Vision, 2008

MySong: automatic accompaniment generation for vocal melodies.

Ian Simon, Dan Morris, Sumit Basu

Proceedings of the 2008 Conference on Human Factors in Computing Systems, 2008

Exposing Parameters of a Trained Dynamic Model for Interactive Music Creation.

Dan Morris, Ian Simon, Sumit Basu

Proceedings of the Twenty-Third AAAI Conference on Artificial Intelligence, 2008

2007

Scene Summarization for Online Image Collections.

Ian Simon, Noah Snavely, Steven M. Seitz

Proceedings of the IEEE 11th International Conference on Computer Vision, 2007

A Probabilistic Model for Object Recognition, Segmentation, and Non-Rigid Correspondence.

Ian Simon, Steven M. Seitz

Proceedings of the 2007 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2007), 2007

2005

Audio Analogies: Creating New Music from an Existing Performance by concatenative synthesis.

Ian Simon, Sumit Basu, David Salesin, Maneesh Agrawala

Proceedings of the 2005 International Computer Music Conference, 2005

2002

Using Thousands of Images of an Object.

Robert Pless, Ian Simon

Proceedings of the 6th Joint Conference on Information Science, 2002