Web Implementation of a Security Mediator for Medical Databases. - Gio Wiederhold; Michel Bilello; Chris Donahue (DBSec, 1997)

Extended Convolution Techniques for Cross-Synthesis. - Chris Donahue; Tom Erbe; Miller S. Puckette (ICMC, 2016)

Dance Dance Convolution. - Chris Donahue; Zachary C. Lipton; Julian J. McAuley (ICML, 2017)

Exploring Speech Enhancement with Generative Adversarial Networks for Robust Speech Recognition. - Chris Donahue; Bo Li 028; Rohit Prabhavalkar (ICASSP, 2018)

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

Synthesizing Audio with GANs. - Chris Donahue; Julian J. McAuley; Miller S. Puckette (ICLR (Workshop), 2018)

The NES Music Database: A multi-instrumental dataset with expressive performance attributes. - Chris Donahue; Huanru Henry Mao; Julian J. McAuley (ISMIR, 2018)

Synthesizing Audio with Generative Adversarial Networks. - Chris Donahue; Julian J. McAuley; Miller S. Puckette (CoRR, 2018)

Adversarial Audio Synthesis. - Chris Donahue; Julian J. McAuley; Miller S. Puckette (ICLR (Poster), 2019)

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

Expediting TTS Synthesis with Adversarial Vocoding. - Paarth Neekhara; Chris Donahue; Miller S. Puckette; Shlomo Dubnov; Julian J. McAuley (INTERSPEECH, 2019)

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

Piano Genie. - Chris Donahue; Ian Simon; Sander Dieleman (IUI, 2019)

Enabling new musical interactions with machine learning. - Chris Donahue (2019)

Enabling Language Models to Fill in the Blanks. - Chris Donahue; Mina Lee 002; Percy Liang (ACL, 2020)

Codified audio language modeling learns useful representations for music information retrieval. - Rodrigo Castellon; Chris Donahue; Percy Liang (ISMIR, 2021)

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

Swords: A Benchmark for Lexical Substitution with Improved Data Coverage and Quality. - Mina Lee 002; Chris Donahue; Robin Jia; Alexander Iyabor; Percy Liang (NAACL-HLT, 2021)

On the Opportunities and Risks of Foundation Models. - Rishi Bommasani; Drew A. Hudson; Ehsan Adeli 001; Russ B. Altman; Simran Arora; Sydney von Arx; Michael S. Bernstein; Jeannette Bohg; Antoine Bosselut; Emma Brunskill; Erik Brynjolfsson; Shyamal Buch; et al. (CoRR, 2021)

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

Melody transcription via generative pre-training. - Chris Donahue; John Thickstun; Percy Liang (ISMIR, 2022)

Redefining Relationships in Music. - Christian Detweiler; Beth Coleman; Fernando Diaz 001; Lieke Dom; Chris Donahue; Jesse H. Engel; Cheng-Zhi Anna Huang; Larry James; Ethan Manilow; Amanda McCroskery; Kyle Pedersen; Pamela Peter-Agbia; et al. (CoRR, 2022)

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

V2Meow: Meowing to the Visual Beat via Music Generation. - Kun Su; Judith Yue Li; Qingqing Huang; Dima Kuzmin; Joonseok Lee; Chris Donahue; Fei Sha; Aren Jansen; Yu Wang; Mauro Verzetti; Timo I. Denk (CoRR, 2023)

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

Adaptive Accompaniment with ReaLchords. - 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; et al. (ICML, 2024)

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

Do Music Generation Models Encode Music Theory? - Megan Wei; Michael Freeman; Chris Donahue; Chen Sun 002 (ISMIR, 2024)

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

Foundation Models for Music: A Survey. - 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; et al. (CoRR, 2024)

The Impact of Element Ordering on LM Agent Performance. - Wayne Chi; Ameet Talwalkar; Chris Donahue (CoRR, 2024)

Local deployment of large-scale music AI models on commodity hardware. - Xun Zhou; Charlie Ruan; Zihe Zhao; Tianqi Chen 001; Chris Donahue (CoRR, 2024)

Vision Language Models Are Few-Shot Audio Spectrogram Classifiers. - Satvik Dixit; Laurie M. Heller; Chris Donahue (CoRR, 2024)

VERSA: A Versatile Evaluation Toolkit for Speech, Audio, and Music. - Jiatong Shi; Hye-jin Shim; Jinchuan Tian; Siddhant Arora; Haibin Wu; Darius Petermann; Jia Qi Yip; You Zhang; Yuxun Tang; Wangyou Zhang; Dareen Alharthi; Yichen Huang; et al. (CoRR, 2024)

Music ControlNet: Multiple Time-Varying Controls for Music Generation. - Shih-Lun Wu; Chris Donahue; Shinji Watanabe 001; Nicholas J. Bryan (IEEE ACM Trans. Audio Speech Lang. Process., 2024)

Anticipatory Music Transformer. - John Thickstun; David Leo Wright Hall; Chris Donahue; Percy Liang (Trans. Mach. Learn. Res., 2024)

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

Towards Codec-LM Co-design for Neural Codec Language Models. - Shih-Lun Wu; Aakash Lahoti; Arjun Desai; Karan Goel; Chris Donahue; Albert Gu (NAACL (Student Research Workshop), 2025)

Hookpad Aria: A Copilot for Songwriters. - Chris Donahue; Shih-Lun Wu; Yewon Kim; Dave B. Carlton; Ryan H. Miyakawa; John Thickstun (CoRR, 2025)

Copilot Arena: A Platform for Code LLM Evaluation in the Wild. - Wayne Chi; Valerie Chen; Anastasios Nikolas Angelopoulos; Wei-Lin Chiang; Aditya Mittal; Naman Jain; Tianjun Zhang; Ion Stoica; Chris Donahue; Ameet Talwalkar (CoRR, 2025)

Aligning Text-to-Music Evaluation with Human Preferences. - Yichen Huang; Zachary Novack; Koichi Saito; Jiatong Shi; Shinji Watanabe 001; Yuki Mitsufuji; John Thickstun; Chris Donahue (CoRR, 2025)

Unified Cross-modal Translation of Score Images, Symbolic Music, and Performance Audio. - Jongmin Jung; Dongmin Kim; Sihun Lee; Seola Cho; Hyungjoon Soh; Irmak Bukey; Chris Donahue; Dasaem Jeong (CoRR, 2025)

Learning Perceptually Relevant Temporal Envelope Morphing. - Satvik Dixit; Sungjoon Park; Chris Donahue; Laurie M. Heller (CoRR, 2025)

Music Arena: Live Evaluation for Text-to-Music. - Yonghyun Kim; Wayne Chi; Anastasios N. Angelopoulos; Wei-Lin Chiang; Koichi Saito; Shinji Watanabe 001; Yuki Mitsufuji; Chris Donahue (CoRR, 2025)

Live Music Models. - Antoine Caillon; Brian McWilliams; Cassie Tarakajian; Ian Simon; Ilaria Manco; Jesse H. Engel; Noah Constant; Yunpeng Li 008; Timo I. Denk; Alberto Lalama; Andrea Agostinelli; Cheng-Zhi Anna Huang; et al. (CoRR, 2025)