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ORCIDChris Donahue
Person information
- affiliation: Google Magenta, USA
- affiliation (former): Stanford University, USA
- affiliation (PhD 2019): University of California, San Diego, USA
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2020 – today
- 2024
[j2]Shih-Lun Wu
, Chris Donahue, Shinji Watanabe, Nicholas J. Bryan:
Music ControlNet: Multiple Time-Varying Controls for Music Generation. IEEE ACM Trans. Audio Speech Lang. Process. 32: 2692-2703 (2024)- [j1]John Thickstun, David Leo Wright Hall, Chris Donahue, Percy Liang:
Anticipatory Music Transformer. Trans. Mach. Learn. Res. 2024 (2024) - [c23]Kun Su, Judith Yue Li, Qingqing Huang, Dima Kuzmin, Joonseok Lee, Chris Donahue, Fei Sha, Aren Jansen, Yu Wang, Mauro Verzetti, Timo I. Denk:
V2Meow: Meowing to the Visual Beat via Video-to-Music Generation. AAAI 2024: 4952-4960 - [c22]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:
Adaptive Accompaniment with ReaLchords. ICML 2024 - [c21]Alexander Wang, David Lindlbauer, Chris Donahue:
Towards Music-Aware Virtual Assistants. UIST 2024: 127:1-127:14 - [i26]Yinghao Ma, Anders Øland, Anton Ragni, Bleiz Macsen Del Sette, Charalampos Saitis, Chris Donahue, Chenghua Lin, Christos Plachouras, Emmanouil Benetos, Elio Quinton, Elona Shatri, Fabio Morreale, Ge Zhang, György Fazekas, Gus Xia, Huan Zhang, Ilaria Manco, Jiawen Huang, Julien Guinot, Liwei Lin, Luca Marinelli, Max W. Y. Lam, Megha Sharma, Qiuqiang Kong, Roger B. Dannenberg, Ruibin Yuan, Shangda Wu, Shih-Lun Wu, Shuqi Dai, Shun Lei, Shiyin Kang, Simon Dixon, Wenhu Chen, Wenhao Huang, Xingjian Du, Xingwei Qu, Xu Tan, Yizhi Li, Zeyue Tian, Zhiyong Wu, Zhizheng Wu, Ziyang Ma, Ziyu Wang:
Foundation Models for Music: A Survey. CoRR abs/2408.14340 (2024) - [i25]Wayne Chi, Ameet Talwalkar, Chris Donahue:
The Impact of Element Ordering on LM Agent Performance. CoRR abs/2409.12089 (2024) - [i24]Megan Wei, Michael Freeman, Chris Donahue, Chen Sun:
Do Music Generation Models Encode Music Theory? CoRR abs/2410.00872 (2024) - [i23]Irmak Bukey, Michael Feffer, Chris Donahue:
Just Label the Repeats for In-The-Wild Audio-to-Score Alignment. CoRR abs/2411.07428 (2024) - [i22]Xun Zhou, Charlie Ruan, Zihe Zhao, Tianqi Chen, Chris Donahue:
Local deployment of large-scale music AI models on commodity hardware. CoRR abs/2411.09625 (2024) - 2023
- [c20]Michael Feffer, Zachary C. Lipton, Chris Donahue:
DeepDrake ft. BTS-GAN and TayloRVC: An Exploratory Analysis of Musical Deepfakes and Hosting Platforms. HCMIR@ISMIR 2023 - [i21]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) - [i20]Kun Su, Judith Yue Li, Qingqing Huang, Dima Kuzmin, Joonseok Lee, Chris Donahue, Fei Sha, Aren Jansen, Yu Wang, Mauro Verzetti, Timo I. Denk:
V2Meow: Meowing to the Visual Beat via Music Generation. CoRR abs/2305.06594 (2023) - [i19]John Thickstun, David Hall, Chris Donahue, Percy Liang:
Anticipatory Music Transformer. CoRR abs/2306.08620 (2023) - [i18]Shih-Lun Wu, Chris Donahue, Shinji Watanabe, Nicholas J. Bryan:
Music ControlNet: Multiple Time-varying Controls for Music Generation. CoRR abs/2311.07069 (2023) - 2022
- [c19]Karan Goel, Albert Gu, Chris Donahue, Christopher Ré:
It's Raw! Audio Generation with State-Space Models. ICML 2022: 7616-7633 - [c18]Chris Donahue, John Thickstun, Percy Liang:
Melody transcription via generative pre-training. ISMIR 2022: 485-492 - [i17]Karan Goel, Albert Gu, Chris Donahue, Christopher Ré:
It's Raw! Audio Generation with State-Space Models. CoRR abs/2202.09729 (2022) - [i16]Chris Donahue, John Thickstun, Percy Liang:
Melody transcription via generative pre-training. CoRR abs/2212.01884 (2022) - [i15]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
- [c17]Rodrigo Castellon, Chris Donahue, Percy Liang:
Codified audio language modeling learns useful representations for music information retrieval. ISMIR 2021: 88-96 - [c16]Hao-Wen Dong, Chris Donahue, Taylor Berg-Kirkpatrick, Julian J. McAuley:
Towards Automatic Instrumentation by Learning to Separate Parts in Symbolic Multitrack Music. ISMIR 2021: 159-166 - [c15]Mina Lee, Chris Donahue, Robin Jia, Alexander Iyabor, Percy Liang:
Swords: A Benchmark for Lexical Substitution with Improved Data Coverage and Quality. NAACL-HLT 2021: 4362-4379 - [i14]Mina Lee, Chris Donahue, Robin Jia, Alexander Iyabor, Percy Liang:
Swords: A Benchmark for Lexical Substitution with Improved Data Coverage and Quality. CoRR abs/2106.04102 (2021) - [i13]Rodrigo Castellon, Chris Donahue, Percy Liang:
Codified audio language modeling learns useful representations for music information retrieval. CoRR abs/2107.05677 (2021) - [i12]Hao-Wen Dong, Chris Donahue, Taylor Berg-Kirkpatrick, Julian J. McAuley:
Towards Automatic Instrumentation by Learning to Separate Parts in Symbolic Multitrack Music. CoRR abs/2107.05916 (2021) - [i11]Rishi Bommasani, Drew A. Hudson, Ehsan Adeli, Russ B. Altman, Simran Arora, Sydney von Arx, Michael S. Bernstein, Jeannette Bohg, Antoine Bosselut, Emma Brunskill, Erik Brynjolfsson, Shyamal Buch, Dallas Card, Rodrigo Castellon, Niladri S. Chatterji, Annie S. Chen, Kathleen Creel, Jared Quincy Davis, Dorottya Demszky, Chris Donahue, Moussa Doumbouya, Esin Durmus, Stefano Ermon, John Etchemendy, Kawin Ethayarajh, Li Fei-Fei, Chelsea Finn, Trevor Gale, Lauren E. Gillespie, Karan Goel, Noah D. Goodman, Shelby Grossman, Neel Guha, Tatsunori Hashimoto, Peter Henderson, John Hewitt, Daniel E. Ho, Jenny Hong, Kyle Hsu, Jing Huang, Thomas Icard, Saahil Jain, Dan Jurafsky, Pratyusha Kalluri, Siddharth Karamcheti, Geoff Keeling, Fereshte Khani, Omar Khattab, Pang Wei Koh, Mark S. Krass, Ranjay Krishna, Rohith Kuditipudi, et al.:
On the Opportunities and Risks of Foundation Models. CoRR abs/2108.07258 (2021) - 2020
- [c14]Chris Donahue, Mina Lee, Percy Liang:
Enabling Language Models to Fill in the Blanks. ACL 2020: 2492-2501 - [i10]Chris Donahue, Mina Lee, Percy Liang:
Enabling Language Models to Fill in the Blanks. CoRR abs/2005.05339 (2020)
2010 – 2019
- 2019
- [b1]Chris Donahue:
Enabling new musical interactions with machine learning. University of California, San Diego, USA, 2019 - [c13]Chris Donahue, Julian J. McAuley, Miller S. Puckette:
Adversarial Audio Synthesis. ICLR (Poster) 2019 - [c12]Jesse H. Engel, Kumar Krishna Agrawal, Shuo Chen, Ishaan Gulrajani, Chris Donahue, Adam Roberts:
GANSynth: Adversarial Neural Audio Synthesis. ICLR (Poster) 2019 - [c11]Paarth Neekhara, Chris Donahue, Miller S. Puckette, Shlomo Dubnov, Julian J. McAuley:
Expediting TTS Synthesis with Adversarial Vocoding. INTERSPEECH 2019: 186-190 - [c10]Chris Donahue, Huanru Henry Mao, Yiting Ethan Li, Garrison W. Cottrell, Julian J. McAuley:
LakhNES: Improving Multi-instrumental Music Generation with Cross-domain Pre-training. ISMIR 2019: 685-692 - [c9]Chris Donahue, Ian Simon, Sander Dieleman:
Piano Genie. IUI 2019: 160-164 - [i9]Jesse H. Engel, Kumar Krishna Agrawal, Shuo Chen, Ishaan Gulrajani, Chris Donahue, Adam Roberts:
GANSynth: Adversarial Neural Audio Synthesis. CoRR abs/1902.08710 (2019) - [i8]Paarth Neekhara, Chris Donahue, Miller S. Puckette, Shlomo Dubnov, Julian J. McAuley:
Expediting TTS Synthesis with Adversarial Vocoding. CoRR abs/1904.07944 (2019) - [i7]Chris Donahue, Huanru Henry Mao, Yiting Ethan Li, Garrison W. Cottrell, Julian J. McAuley:
LakhNES: Improving multi-instrumental music generation with cross-domain pre-training. CoRR abs/1907.04868 (2019) - 2018
- [c8]Chris Donahue, Bo Li, Rohit Prabhavalkar:
Exploring Speech Enhancement with Generative Adversarial Networks for Robust Speech Recognition. ICASSP 2018: 5024-5028 - [c7]Chris Donahue, Zachary C. Lipton, Akshay Balsubramani, Julian J. McAuley:
Semantically Decomposing the Latent Spaces of Generative Adversarial Networks. ICLR (Poster) 2018 - [c6]Chris Donahue, Julian J. McAuley, Miller S. Puckette:
Synthesizing Audio with GANs. ICLR (Workshop) 2018 - [c5]Chris Donahue, Huanru Henry Mao, Julian J. McAuley:
The NES Music Database: A multi-instrumental dataset with expressive performance attributes. ISMIR 2018: 475-482 - [i6]Chris Donahue, Julian J. McAuley, Miller S. Puckette:
Synthesizing Audio with Generative Adversarial Networks. CoRR abs/1802.04208 (2018) - [i5]Chris Donahue, Huanru Henry Mao, Julian J. McAuley:
The NES Music Database: A multi-instrumental dataset with expressive performance attributes. CoRR abs/1806.04278 (2018) - [i4]Chris Donahue, Ian Simon, Sander Dieleman:
Piano Genie. CoRR abs/1810.05246 (2018) - 2017
- [c4]Chris Donahue, Zachary C. Lipton, Julian J. McAuley:
Dance Dance Convolution. ICLR (Workshop) 2017 - [c3]Chris Donahue, Zachary C. Lipton, Julian J. McAuley:
Dance Dance Convolution. ICML 2017: 1039-1048 - [i3]Chris Donahue, Zachary C. Lipton, Julian J. McAuley:
Dance Dance Convolution. CoRR abs/1703.06891 (2017) - [i2]Chris Donahue, Akshay Balsubramani, Julian J. McAuley, Zachary C. Lipton:
Semantically Decomposing the Latent Spaces of Generative Adversarial Networks. CoRR abs/1705.07904 (2017) - [i1]Chris Donahue, Bo Li, Rohit Prabhavalkar:
Exploring Speech Enhancement with Generative Adversarial Networks for Robust Speech Recognition. CoRR abs/1711.05747 (2017) - 2016
- [c2]Chris Donahue, Tom Erbe, Miller S. Puckette:
Extended Convolution Techniques for Cross-Synthesis. ICMC 2016
1990 – 1999
- 1997
- [c1]Gio Wiederhold, Michel Bilello, Chris Donahue:
Web Implementation of a Security Mediator for Medical Databases. DBSec 1997: 60-72
Coauthor Index
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