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ORCIDJesse H. Engel
Person information
- affiliation: Google Brain, Mountain View, CA, USA
- affiliation: UC Berkeley, Redwood Center for Theoretical Neuroscience, CA, USA
- affiliation: Stanford University, SystemX Alliance, CA, USA
- affiliation: Baidu Silicon Valley AI Lab, Sunnyvale, CA, USA
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2020 – today
- 2023
[i31]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:
MusicLM: Generating Music From Text. CoRR abs/2301.11325 (2023)- [i30]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 abs/2301.12662 (2023) - [i29]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:
Noise2Music: Text-conditioned Music Generation with Diffusion Models. CoRR abs/2302.03917 (2023) - 2022
- [c28]Ethan Manilow, Curtis Hawthorne, Cheng-Zhi Anna Huang, Bryan Pardo, Jesse H. Engel:
Improving Source Separation by Explicitly Modeling Dependencies between Sources. ICASSP 2022: 291-295 - [c27]Josh Gardner, Ian Simon, Ethan Manilow, Curtis Hawthorne, Jesse H. Engel:
MT3: Multi-Task Multitrack Music Transcription. ICLR 2022 - [c26]Yusong Wu, Ethan Manilow, Yi Deng, Rigel Swavely, Kyle Kastner, Tim Cooijmans, Aaron C. Courville, Cheng-Zhi Anna Huang, Jesse H. Engel:
MIDI-DDSP: Detailed Control of Musical Performance via Hierarchical Modeling. ICLR 2022 - [c25]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: 8535-8558 - [c24]Halley Young, Vincent Dumoulin, Pablo S. Castro, Jesse H. Engel, Cheng-Zhi Anna Huang:
Compositional Steering of Music Transformers 66-80. IUI Workshops 2022: 66-80 - [c23]Ryan Louie, Jesse H. Engel, Cheng-Zhi Anna Huang:
Expressive Communication: Evaluating Developments in Generative Models and Steering Interfaces for Music Creation. IUI 2022: 405-417 - [i28]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. CoRR abs/2202.07765 (2022) - [i27]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:
HEAR 2021: Holistic Evaluation of Audio Representations. CoRR abs/2203.03022 (2022) - [i26]Ethan Manilow, Curtis Hawthorne, Cheng-Zhi Anna Huang, Bryan Pardo, Jesse H. Engel:
Improving Source Separation by Explicitly Modeling Dependencies Between Sources. CoRR abs/2203.15140 (2022) - [i25]Curtis Hawthorne, Ian Simon, Adam Roberts, Neil Zeghidour, Josh Gardner, Ethan Manilow, Jesse H. Engel:
Multi-instrument Music Synthesis with Spectrogram Diffusion. CoRR abs/2206.05408 (2022) - [i24]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 abs/2209.14458 (2022) - [i23]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:
Redefining Relationships in Music. CoRR abs/2212.08038 (2022) - 2021
- [c22]Curtis Hawthorne, Ian Simon, Rigel Swavely, Ethan Manilow, Jesse H. Engel:
Sequence-to-Sequence Piano Transcription with Transformers. ISMIR 2021: 246-253 - [c21]Gautam Mittal, Jesse H. Engel, Curtis Hawthorne, Ian Simon:
Symbolic Music Generation with Diffusion Models. ISMIR 2021: 468-475 - [c20]Michelle Carney, Chong Li, Edwin Toh
, Nida Zada, Ping Yu, Jesse H. Engel:
Tone Transfer: In-Browser Interactive Neural Audio Synthesis. IUI Workshops 2021 - [c19]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:
HEAR: Holistic Evaluation of Audio Representations. NeurIPS (Competition and Demos) 2021: 125-145 - [i22]Sander Dieleman, Charlie Nash, Jesse H. Engel, Karen Simonyan:
Variable-rate discrete representation learning. CoRR abs/2103.06089 (2021) - [i21]Gautam Mittal, Jesse H. Engel, Curtis Hawthorne, Ian Simon:
Symbolic Music Generation with Diffusion Models. CoRR abs/2103.16091 (2021) - [i20]Curtis Hawthorne, Ian Simon, Rigel Swavely, Ethan Manilow, Jesse H. Engel:
Sequence-to-Sequence Piano Transcription with Transformers. CoRR abs/2107.09142 (2021) - [i19]Josh Gardner, Ian Simon, Ethan Manilow, Curtis Hawthorne, Jesse H. Engel:
MT3: Multi-Task Multitrack Music Transcription. CoRR abs/2111.03017 (2021) - [i18]Ryan Louie, Jesse H. Engel, Cheng-Zhi Anna Huang:
Expressive Communication: A Common Framework for Evaluating Developments in Generative Models and Steering Interfaces. CoRR abs/2111.14951 (2021) - [i17]Yusong Wu, Ethan Manilow, Yi Deng, Rigel Swavely, Kyle Kastner, Tim Cooijmans, Aaron C. Courville, Cheng-Zhi Anna Huang, Jesse H. Engel:
MIDI-DDSP: Detailed Control of Musical Performance via Hierarchical Modeling. CoRR abs/2112.09312 (2021) - 2020
- [c18]Jesse H. Engel, Lamtharn Hantrakul, Chenjie Gu, Adam Roberts:
DDSP: Differentiable Digital Signal Processing. ICLR 2020 - [c17]Kristy Choi, Curtis Hawthorne, Ian Simon, Monica Dinculescu, Jesse H. Engel:
Encoding Musical Style with Transformer Autoencoders. ICML 2020: 1899-1908 - [i16]Jesse H. Engel, Lamtharn Hantrakul, Chenjie Gu, Adam Roberts:
DDSP: Differentiable Digital Signal Processing. CoRR abs/2001.04643 (2020) - [i15]Lee Callender, Curtis Hawthorne, Jesse H. Engel:
Improving Perceptual Quality of Drum Transcription with the Expanded Groove MIDI Dataset. CoRR abs/2004.00188 (2020)
2010 – 2019
- 2019
- [c16]Jesse H. Engel, Kumar Krishna Agrawal, Shuo Chen, Ishaan Gulrajani, Chris Donahue, Adam Roberts:
GANSynth: Adversarial Neural Audio Synthesis. ICLR (Poster) 2019 - [c15]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 - [c14]Jon Gillick, Adam Roberts, Jesse H. Engel, Douglas Eck, David Bamman:
Learning to Groove with Inverse Sequence Transformations. ICML 2019: 2269-2279 - [c13]Lamtharn Hantrakul, Jesse H. Engel, Adam Roberts, Chenjie Gu:
Fast and Flexible Neural Audio Synthesis. ISMIR 2019: 524-530 - [i14]Yingtao Tian, Jesse H. Engel:
Latent Translation: Crossing Modalities by Bridging Generative Models. CoRR abs/1902.08261 (2019) - [i13]Jesse H. Engel, Kumar Krishna Agrawal, Shuo Chen, Ishaan Gulrajani, Chris Donahue, Adam Roberts:
GANSynth: Adversarial Neural Audio Synthesis. CoRR abs/1902.08710 (2019) - [i12]Jon Gillick, Adam Roberts, Jesse H. Engel, Douglas Eck, David Bamman:
Learning to Groove with Inverse Sequence Transformations. CoRR abs/1905.06118 (2019) - [i11]Kristy Choi, Curtis Hawthorne, Ian Simon, Monica Dinculescu, Jesse H. Engel:
Encoding Musical Style with Transformer Autoencoders. CoRR abs/1912.05537 (2019) - 2018
- [c12]Ryan Zarcone, Dylan M. Paiton, Alex Anderson, Jesse H. Engel, H.-S. Philip Wong, Bruno A. Olshausen:
Joint Source-Channel Coding with Neural Networks for Analog Data Compression and Storage. DCC 2018: 147-156 - [c11]Jesse H. Engel, Matthew D. Hoffman, Adam Roberts:
Latent Constraints: Learning to Generate Conditionally from Unconditional Generative Models. ICLR (Poster) 2018 - [c10]Natasha Jaques, Jesse H. Engel, David Ha, Fred Bertsch, Rosalind W. Picard, Douglas Eck:
Learning via social awareness: improving sketch representations with facial feedback. ICLR (Workshop) 2018 - [c9]Adam Roberts, Jesse H. Engel, Colin Raffel, Curtis Hawthorne, Douglas Eck:
A Hierarchical Latent Vector Model for Learning Long-Term Structure in Music. ICML 2018: 4361-4370 - [c8]Natasha Jaques, Jennifer McCleary, Jesse H. Engel, David Ha, Fred Bertsch, Douglas Eck, Rosalind W. Picard:
Learning via Social Awareness: Improving a Deep Generative Sketching Model with Facial Feedback. AffComp@IJCAI 2018: 1-9 - [c7]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: 50-57 - [c6]Adam Roberts, Jesse H. Engel, Sageev Oore, Douglas Eck:
Learning Latent Representations of Music to Generate Interactive Musical Palettes. IUI Workshops 2018 - [i10]Natasha Jaques, Jesse H. Engel, David Ha, Fred Bertsch, Rosalind W. Picard, Douglas Eck:
Learning via social awareness: improving sketch representations with facial feedback. CoRR abs/1802.04877 (2018) - [i9]Adam Roberts, Jesse H. Engel, Colin Raffel, Curtis Hawthorne, Douglas Eck:
A Hierarchical Latent Vector Model for Learning Long-Term Structure in Music. CoRR abs/1803.05428 (2018) - [i8]Ian Simon, Adam Roberts, Colin Raffel, Jesse H. Engel, Curtis Hawthorne, Douglas Eck:
Learning a Latent Space of Multitrack Measures. CoRR abs/1806.00195 (2018) - [i7]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 abs/1810.12247 (2018) - 2017
- [c5]Mason Bretan, Sageev Oore, Jesse H. Engel, Douglas Eck, Larry P. Heck:
Deep Music: Towards Musical Dialogue. AAAI 2017: 5081-5082 - [c4]Jesse H. Engel, Cinjon Resnick, Adam Roberts, Sander Dieleman, Mohammad Norouzi, Douglas Eck, Karen Simonyan:
Neural Audio Synthesis of Musical Notes with WaveNet Autoencoders. ICML 2017: 1068-1077 - [i6]Jesse H. Engel, Sukru Burc Eryilmaz, SangBum Kim, Matthew BrightSky, Chung Lam, Hsiang-Lan Lung, Bruno A. Olshausen, H.-S. Philip Wong:
Opportunities for Analog Coding in Emerging Memory Systems. CoRR abs/1701.06063 (2017) - [i5]Jesse H. Engel, Cinjon Resnick, Adam Roberts, Sander Dieleman, Douglas Eck, Karen Simonyan, Mohammad Norouzi:
Neural Audio Synthesis of Musical Notes with WaveNet Autoencoders. CoRR abs/1704.01279 (2017) - [i4]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 abs/1710.11153 (2017) - [i3]Jesse H. Engel, Matthew D. Hoffman, Adam Roberts:
Latent Constraints: Learning to Generate Conditionally from Unconditional Generative Models. CoRR abs/1711.05772 (2017) - 2016
- [c3]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:
Deep Speech 2 : End-to-End Speech Recognition in English and Mandarin. ICML 2016: 173-182 - [c2]Greg Diamos, Shubho Sengupta, Bryan Catanzaro, Mike Chrzanowski, Adam Coates, Erich Elsen, Jesse H. Engel, Awni Y. Hannun, Sanjeev Satheesh:
Persistent RNNs: Stashing Recurrent Weights On-Chip. ICML 2016: 2024-2033 - [c1]Zhenyao Zhu, Jesse H. Engel, Awni Y. Hannun:
Learning Multiscale Features Directly from Waveforms. INTERSPEECH 2016: 1305-1309 - [i2]Zhenyao Zhu, Jesse H. Engel, Awni Y. Hannun:
Learning Multiscale Features Directly FromWaveforms. CoRR abs/1603.09509 (2016) - 2015
- [i1]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:
Deep Speech 2: End-to-End Speech Recognition in English and Mandarin. CoRR abs/1512.02595 (2015)
Coauthor Index
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