Chris Donahue

Most-cited papers

On the Opportunities and Risks of Foundation Models
Rishi Bommasani, Drew A. Hudson, E. Adeli, R. Altman +110 more
2021arXiv.org7,622 citations
Semantic Scholar
Adversarial Audio Synthesis
Chris Donahue, Julian McAuley, Miller Puckette
2018International Conference on Learning Representations723 citations
Semantic Scholar
GANSynth: Adversarial Neural Audio Synthesis
Jesse Engel, Kumar Krishna Agrawal, Shuo Chen, I. Gulrajani +2 more
2019International Conference on Learning Representations438 citations
Semantic Scholar
It's Raw! Audio Generation with State-Space Models
Karan Goel, Albert Gu, Chris Donahue, Christopher Ré
2022International Conference on Machine Learning276 citations
Semantic Scholar
Exploring Speech Enhancement with Generative Adversarial Networks for Robust Speech Recognition
Chris Donahue, Bo Li, R. Prabhavalkar
2017IEEE International Conference on Acoustics, Speech, and Signal Processing224 citations Open access
Semantic Scholar
Enabling Language Models to Fill in the Blanks
Chris Donahue, Mina Lee, Percy Liang
2020Annual Meeting of the Association for Computational Linguistics219 citations Open access
Semantic Scholar
Synthesizing Audio with Generative Adversarial Networks
Chris Donahue, Julian McAuley, Miller Puckette
2018arXiv.org166 citations
Semantic Scholar
LakhNES: Improving Multi-instrumental Music Generation with Cross-domain Pre-training
Chris Donahue, H. H. Mao, Yiting Li, G. Cottrell +1 more
2019International Society for Music Information Retrieval Conference144 citations
Semantic Scholar
Codified audio language modeling learns useful representations for music information retrieval
Rodrigo Castellon, Chris Donahue, Percy Liang
2021International Society for Music Information Retrieval Conference127 citations
Semantic Scholar
Semantically Decomposing the Latent Spaces of Generative Adversarial Networks
Chris Donahue, Akshay Balsubramani, Julian McAuley, Zachary Chase Lipton
2017International Conference on Learning Representations122 citations
Semantic Scholar
SingSong: Generating musical accompaniments from singing
Chris Donahue, A. Caillon, Adam Roberts, Ethan Manilow +7 more
2023arXiv.org84 citations Open access
Semantic Scholar
Piano Genie
Chris Donahue, Ian Simon, S. Dieleman
2018International Conference on Intelligent User Interfaces52 citations Open access
Semantic Scholar
Anticipatory Music Transformer
John Thickstun, David Leo Wright Hall, Chris Donahue, Percy Liang
2023Trans. Mach. Learn. Res.50 citations Open access
Semantic Scholar
Dance Dance Convolution
Chris Donahue, Zachary Chase Lipton, Julian McAuley
2017International Conference on Machine Learning45 citations
Semantic Scholar
Melody transcription via generative pre-training
Chris Donahue, John Thickstun, Percy Liang
2022International Society for Music Information Retrieval Conference39 citations Open access
Semantic Scholar
V2Meow: Meowing to the Visual Beat via Video-to-Music Generation
Kun Su, Judith Yue Li, Qing-Qing Huang, D. Kuzmin +7 more
2023AAAI Conference on Artificial Intelligence36 citations Open access
Semantic Scholar
The NES Music Database: A multi-instrumental dataset with expressive performance attributes
Chris Donahue, H. H. Mao, Julian McAuley
2018International Society for Music Information Retrieval Conference26 citations
Semantic Scholar
Expediting TTS Synthesis with Adversarial Vocoding
Paarth Neekhara, Chris Donahue, Miller Puckette, S. Dubnov +1 more
2019Interspeech23 citations Open access
Semantic Scholar
Synthesizing Audio with GANs
Chris Donahue, Julian McAuley, Miller Puckette
2018International Conference on Learning Representations20 citations
Semantic Scholar
SHEET SAGE: LEAD SHEETS FROM MUSIC AUDIO
Chris Donahue, Percy Liang
202111 citations
Semantic Scholar
Towards Automatic Instrumentation by Learning to Separate Parts in Symbolic Multitrack Music
Hao-Wen Dong, Chris Donahue, Taylor Berg-Kirkpatrick, Julian McAuley
2021International Society for Music Information Retrieval Conference8 citations
Semantic Scholar
Extensions to Convolution for Generalized Cross-Synthesis
Chris Donahue
20162 citations
Semantic Scholar
Disentangled representations of style and content for visual art with generative adversarial networks
Chris Donahue
20171 citations
Semantic Scholar
Leveraging Large (Visual) Language Models for Robot 3D Scene Understanding
William Chen, Si-Yi Hu, Rajat Talak, Luca Carlone +114 more
20220 citations
Semantic Scholar
Enabling new musical interactions with machine learning
Chris Donahue
20190 citations
Semantic Scholar
Learning the nuance of musical instrument acoustics
Chris Donahue
2019Journal of the Acoustical Society of America0 citations
Semantic Scholar
S EMANTICALLY D ECOMPOSING THE L ATENT S PACES OF G ENERATIVE A DVERSARIAL N ETWORKS
Chris Donahue, Zachary Chase Lipton
20180 citations
Semantic Scholar
ENHANCEMENT WITH GENERATIVE ADVERSARIAL NETWORKS FOR ROBUST SPEECH RECOGNITION
Chris Donahue
20170 citations
Semantic Scholar