Jesse H. Engel

According to our database, Jesse H. Engel authored at least 44 papers between 2015 and 2023.

Collaborative distances:

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

2023

Noise2Music: Text-conditioned Music Generation with Diffusion Models.

Qingqing Huang, Daniel S. Park, Tao Wang, Timo I. Denk, Andy Ly, Nanxin Chen, Zhengdong Zhang, Zhishuai Zhang, Jiahui Yu, Christian Havnø Frank, Jesse H. Engel, Quoc V. Le, William Chan, Wei Han

CoRR, 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

MusicLM: Generating Music From Text.

Andrea Agostinelli, Timo I. Denk, Zalán Borsos, Jesse H. Engel, Mauro Verzetti, Antoine Caillon, Qingqing Huang, Aren Jansen, Adam Roberts, Marco Tagliasacchi, Matthew Sharifi, Neil Zeghidour, Christian Havnø Frank

CoRR, 2023

2022

Redefining Relationships in Music.

Christian Detweiler, Beth Coleman, Fernando Diaz, Lieke Dom, Chris Donahue, Jesse H. Engel, Cheng-Zhi Anna Huang, Larry James, Ethan Manilow, Amanda McCroskery, Kyle Pedersen, Pamela Peter-Agbia, Negar Rostamzadeh, Robert Thomas, Marco Zamarato, Ben Zevenbergen

CoRR, 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

HEAR 2021: Holistic Evaluation of Audio Representations.

Joseph Turian, Jordie Shier, Humair Raj Khan, Bhiksha Raj, Björn W. Schuller, Christian J. Steinmetz, Colin Malloy, George Tzanetakis, Gissel Velarde, Kirk McNally, Max Henry, Nicolas Pinto, Camille Noufi, Christian Clough, Dorien Herremans, Eduardo Fonseca, Jesse H. Engel, Justin Salamon, Philippe Esling, Pranay Manocha, Shinji Watanabe, Zeyu Jin, Yonatan Bisk

CoRR, 2022

Compositional Steering of Music Transformers 66-80.

Halley Young, Vincent Dumoulin, Pablo S. Castro, Jesse H. Engel, Cheng-Zhi Anna Huang

Proceedings of the Joint Proceedings of the IUI 2022 Workshops: APEx-UI, 2022

Expressive Communication: Evaluating Developments in Generative Models and Steering Interfaces for Music Creation.

Ryan Louie, Jesse H. Engel, Cheng-Zhi Anna Huang

Proceedings of the IUI 2022: 27th International Conference on Intelligent User Interfaces, Helsinki, Finland, March 22, 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

MIDI-DDSP: Detailed Control of Musical Performance via Hierarchical Modeling.

Yusong Wu, Ethan Manilow, Yi Deng, Rigel Swavely, Kyle Kastner, Tim Cooijmans, Aaron C. Courville, Cheng-Zhi Anna Huang, Jesse H. Engel

Proceedings of the Tenth International Conference on Learning Representations, 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

Improving Source Separation by Explicitly Modeling Dependencies between Sources.

Ethan Manilow, Curtis Hawthorne, Cheng-Zhi Anna Huang, Bryan Pardo, Jesse H. Engel

Proceedings of the IEEE International Conference on Acoustics, 2022

2021

Expressive Communication: A Common Framework for Evaluating Developments in Generative Models and Steering Interfaces.

Ryan Louie, Jesse H. Engel, Cheng-Zhi Anna Huang

CoRR, 2021

Variable-rate discrete representation learning.

Sander Dieleman, Charlie Nash, Jesse H. Engel, Karen Simonyan

CoRR, 2021

HEAR: Holistic Evaluation of Audio Representations.

Joseph Turian, Jordie Shier, Humair Raj Khan, Bhiksha Raj, Björn W. Schuller, Christian J. Steinmetz, Colin Malloy, George Tzanetakis, Gissel Velarde, Kirk McNally, Max Henry, Nicolas Pinto, Camille Noufi, Christian Clough, Dorien Herremans, Eduardo Fonseca, Jesse H. Engel, Justin Salamon, Philippe Esling, Pranay Manocha, Shinji Watanabe, Zeyu Jin, Yonatan Bisk

Proceedings of the NeurIPS 2021 Competitions and Demonstrations Track, 2021

Tone Transfer: In-Browser Interactive Neural Audio Synthesis.

Michelle Carney, Chong Li, Edwin Toh, Nida Zada, Ping Yu, Jesse H. Engel

Proceedings of the Joint Proceedings of the ACM IUI 2021 Workshops co-located with 26th ACM Conference on Intelligent User Interfaces (ACM IUI 2021), 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

Improving Perceptual Quality of Drum Transcription with the Expanded Groove MIDI Dataset.

Lee Callender, Curtis Hawthorne, Jesse H. Engel

CoRR, 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

DDSP: Differentiable Digital Signal Processing.

Jesse H. Engel, Lamtharn Hantrakul, Chenjie Gu, Adam Roberts

Proceedings of the 8th International Conference on Learning Representations, 2020

2019

Latent Translation: Crossing Modalities by Bridging Generative Models.

Yingtao Tian, Jesse H. Engel

CoRR, 2019

Fast and Flexible Neural Audio Synthesis.

Lamtharn Hantrakul, Jesse H. Engel, Adam Roberts, Chenjie Gu

Proceedings of the 20th International Society for Music Information Retrieval Conference, 2019

Learning to Groove with Inverse Sequence Transformations.

Jon Gillick, Adam Roberts, Jesse H. Engel, Douglas Eck, David Bamman

Proceedings of the 36th International Conference on Machine Learning, 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

GANSynth: Adversarial Neural Audio Synthesis.

Jesse H. Engel, Kumar Krishna Agrawal, Shuo Chen, Ishaan Gulrajani, Chris Donahue, Adam Roberts

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

Learning Latent Representations of Music to Generate Interactive Musical Palettes.

Adam Roberts, Jesse H. Engel, Sageev Oore, Douglas Eck

Proceedings of the Joint Proceedings of the ACM IUI 2018 Workshops co-located with the 23rd ACM Conference on Intelligent User Interfaces (ACM IUI 2018), 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

Learning via Social Awareness: Improving a Deep Generative Sketching Model with Facial Feedback.

Natasha Jaques, Jennifer McCleary, Jesse H. Engel, David Ha, Fred Bertsch, Douglas Eck, Rosalind W. Picard

Proceedings of the Workshop on Artificial Intelligence in Affective Computing, 2018

A Hierarchical Latent Vector Model for Learning Long-Term Structure in Music.

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

Proceedings of the 35th International Conference on Machine Learning, 2018

Learning via social awareness: improving sketch representations with facial feedback.

Natasha Jaques, Jesse H. Engel, David Ha, Fred Bertsch, Rosalind W. Picard, Douglas Eck

Proceedings of the 6th International Conference on Learning Representations, 2018

Latent Constraints: Learning to Generate Conditionally from Unconditional Generative Models.

Jesse H. Engel, Matthew D. Hoffman, Adam Roberts

Proceedings of the 6th International Conference on Learning Representations, 2018

Joint Source-Channel Coding with Neural Networks for Analog Data Compression and Storage.

Ryan Zarcone, Dylan M. Paiton, Alex Anderson, Jesse H. Engel, H.-S. Philip Wong, Bruno A. Olshausen

Proceedings of the 2018 Data Compression Conference, 2018

2017

Opportunities for Analog Coding in Emerging Memory Systems.

Jesse H. Engel, Sukru Burc Eryilmaz, SangBum Kim, Matthew BrightSky, Chung Lam, Hsiang-Lan Lung, Bruno A. Olshausen, H.-S. Philip Wong

CoRR, 2017

Neural Audio Synthesis of Musical Notes with WaveNet Autoencoders.

Jesse H. Engel, Cinjon Resnick, Adam Roberts, Sander Dieleman, Mohammad Norouzi, Douglas Eck, Karen Simonyan

Proceedings of the 34th International Conference on Machine Learning, 2017

Deep Music: Towards Musical Dialogue.

Mason Bretan, Sageev Oore, Jesse H. Engel, Douglas Eck, Larry P. Heck

Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016

Learning Multiscale Features Directly FromWaveforms.

Zhenyao Zhu, Jesse H. Engel, Awni Y. Hannun

CoRR, 2016

Learning Multiscale Features Directly from Waveforms.

Zhenyao Zhu, Jesse H. Engel, Awni Y. Hannun

Proceedings of the Interspeech 2016, 2016

Persistent RNNs: Stashing Recurrent Weights On-Chip.

Greg Diamos, Shubho Sengupta, Bryan Catanzaro, Mike Chrzanowski, Adam Coates, Erich Elsen, Jesse H. Engel, Awni Y. Hannun, Sanjeev Satheesh

Proceedings of the 33nd International Conference on Machine Learning, 2016

Deep Speech 2 : End-to-End Speech Recognition in English and Mandarin.

Dario Amodei, Sundaram Ananthanarayanan, Rishita Anubhai, Jingliang Bai, Eric Battenberg, Carl Case, Jared Casper, Bryan Catanzaro, Jingdong Chen, Mike Chrzanowski, Adam Coates, Greg Diamos, Erich Elsen, Jesse H. Engel, Linxi Fan, Christopher Fougner, Awni Y. Hannun, Billy Jun, Tony Han, Patrick LeGresley, Xiangang Li, Libby Lin, Sharan Narang, Andrew Y. Ng, Sherjil Ozair, Ryan Prenger, Sheng Qian, Jonathan Raiman, Sanjeev Satheesh, David Seetapun, Shubho Sengupta, Chong Wang, Yi Wang, Zhiqian Wang, Bo Xiao, Yan Xie, Dani Yogatama, Jun Zhan, Zhenyao Zhu

Proceedings of the 33nd International Conference on Machine Learning, 2016

2015

Deep Speech 2: End-to-End Speech Recognition in English and Mandarin.

Dario Amodei, Rishita Anubhai, Eric Battenberg, Carl Case, Jared Casper, Bryan Catanzaro, Jingdong Chen, Mike Chrzanowski, Adam Coates, Greg Diamos, Erich Elsen, Jesse H. Engel, Linxi Fan, Christopher Fougner, Tony Han, Awni Y. Hannun, Billy Jun, Patrick LeGresley, Libby Lin, Sharan Narang, Andrew Y. Ng, Sherjil Ozair, Ryan Prenger, Jonathan Raiman, Sanjeev Satheesh, David Seetapun, Shubho Sengupta, Yi Wang, Zhiqian Wang, Chong Wang, Bo Xiao, Dani Yogatama, Jun Zhan, Zhenyao Zhu

CoRR, 2015