Publications

Yewon Kim, Sung-Ju Lee, Chris Donahue (2024). Amuse: Human-AI Collaborative Songwriting with Multimodal Inspirations. In CHI 2025.

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Satvik Dixit, Laurie M. Heller, Chris Donahue (2024). Vision Language Models Are Few-Shot Audio Spectrogram Classifiers. In NeurIPS Audio Imagination Workshop 2024.

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Xun Zhou, Charlie Ruan, Zihe Zhao, Tianqi Chen, Chris Donahue (2024). Local Deployment of Large-Scale Music AI Models on Commodity Hardware. In ISMIR LBD 2024.

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Irmak Bukey, Michael Feffer, Chris Donahue (2024). Just Label the Repeats for In-The-Wild Audio-to-Score Alignment. In ISMIR 2024.

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Chris Donahue, Shih-Lun Wu, Yewon Kim, Dave Carlton, Ryan Miyakawa, John Thickstun (2024). Hookpad Aria: A Copilot for Songwriters. In ISMIR LBD 2024.

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Alexander Wang, David Lindlbauer, Chris Donahue (2024). Towards Music-Aware Virtual Assistants. In UIST 2024.

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Megan Wei, Michael Freeman, Chris Donahue, Chen Sun (2024). Do Music Generation Models Encode Music Theory?. In ISMIR 2024.

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Wayne Chi, Ameet Talwalkar, Chris Donahue (2024). The Impact of Element Ordering on LM Agent Performance. In NeurIPS Workshops 2024.

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Yusong Wu, Tim Cooijmans, Kyle Kastner, Adam Roberts, Ian Simon, Alexander Scarlatos, Chris Donahue, Cassie Tarakajian, Shayegan Omidshafiei, Aaron Courville, Pablo Samuel Castro, Natasha Jaques, Cheng-Zhi Anna Huang (2024). Adaptive Accompaniment with ReaLchords. In ICML 2024.

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Kun Su, Judith Yue Li, Qingqing Huang, Dima Kuzmin, Joonseok Lee, Chris Donahue, Fei Sha, Aren Jansen, Yu Wang, Mauro Verzetti, Timo I. Denk (2024). V2Meow: Meowing to the Visual Beat via Video-to-Music Generation. In AAAI 2024.

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Michael Feffer, Zachary C. Lipton, Chris Donahue (2023). DeepDrake ft. BTS-GAN and TayloRVC: An Exploratory Analysis of Musical Deepfakes and Hosting Platforms. In HCMIR 2023.

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Chris Donahue, John Thickstun, Percy Liang (2022). Melody Transcription via Generative Pre-training. In ISMIR.

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Karan Goel, Albert Gu, Chris Donahue, Christopher Ré (2022). It's Raw! Audio Generation with State-Space Models. In ICML (Long Talk; Top 2%).

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Hao-Wen Dong, Chris Donahue, Taylor Berg-Kirkpatrick, Julian McAuley (2021). Towards Automatic Instrumentation by Learning to Separate Parts in Symbolic Multitrack Music. In ISMIR.

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Rodrigo Castellon, Chris Donahue, Percy Liang (2021). Codified Audio Language Modeling Learns Useful Representations for Music Information Retrieval. In ISMIR (Best Paper Runner-up).

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Mina Lee, Chris Donahue, Robin Jia, Alexander Iyabor, Percy Liang (2021). Swords ⚔️: A Benchmark for Lexical Substitution with Improved Data Coverage and Quality. In NAACL.

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Chris Donahue, Mina Lee, Percy Liang (2020). Enabling Language Models to Fill in the Blanks. In ACL.

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Chris Donahue, Huanru Henry Mao, Yiting Ethan Li, Garrison W. Cottrell, Julian McAuley (2019). LakhNES: Improving Multi-instrumental Music Generation with Cross-domain Pre-training. In ISMIR.

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Paarth Neekhara, Chris Donahue, Miller Puckette, Shlomo Dubnov, Julian McAuley (2019). Expediting TTS Synthesis with Adversarial Vocoding. In INTERSPEECH (Oral).

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Jesse Engel, Kumar Krishna Agrawal, Shuo Chen, Ishaan Gulrajani, Chris Donahue, Adam Roberts (2019). GANSynth: Adversarial Neural Audio Synthesis. In ICLR.

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Chris Donahue, Julian McAuley, Miller Puckette (2019). Adversarial Audio Synthesis. In ICLR.

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Chris Donahue, Ian Simon, Sander Dieleman (2019). Piano Genie. In ACM IUI.

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Chris Donahue, Huanru Henry Mao, Julian McAuley (2018). The NES Music Database: A Multi-instrumental Dataset with Expressive Performance Attributes. In ISMIR.

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Chris Donahue, Zachary C. Lipton, Akshay Balsubramani, Julian McAuley (2018). Semantically Decomposing the Latent Spaces of Generative Adversarial Networks. In ICLR.

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Chris Donahue, Bo Li, Rohit Prabhavalkar (2018). Exploring Speech Enhancement with Generative Adversarial Networks for Robust Speech Recognition. In ICASSP (Oral).

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Chris Donahue, Zachary C. Lipton, Julian McAuley (2017). Dance Dance Convolution. In ICML.

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