Stanford Laptop Orchestra (SLOrk). - Ge Wang 002; Nicholas J. Bryan; Jieun Oh; Robert Hamilton 001 (ICMC, 2009)

MoMu: A Mobile Music Toolkit. - Nicholas J. Bryan; Jorge Herrera; Jieun Oh; Ge Wang 002 (NIME, 2010)

Evolving The Mobile Phone Orchestra. - Jieun Oh; Jorge Herrera; Nicholas J. Bryan; Luke Dahl; Ge Wang 002 (NIME, 2010)

Instinct-Based Mating in Genetic Algorithms Applied to the Tuning of 1-NN Classifiers. - Thiago Quirino; Miroslav Kubat; Nicholas J. Bryan (IEEE Trans. Knowl. Data Eng., 2010)

Musical Influence Network Analysis and Rank of Sample-Based Music. - Nicholas J. Bryan; Ge Wang 002 (ISMIR, 2011)

Two Turntables and a Mobile Phone. - Nicholas J. Bryan; Ge Wang 002 (NIME, 2011)

Clustering and synchronizing multi-camera video via landmark cross-correlation. - Nicholas J. Bryan; Paris Smaragdis; Gautham J. Mysore (ICASSP, 2012)

Interactive refinement of supervised and semi-supervised sound source separation estimates. - Nicholas J. Bryan; Gautham J. Mysore (ICASSP, 2013)

An Efficient Posterior Regularized Latent Variable Model for Interactive Sound Source Separation. - Nicholas J. Bryan; Gautham J. Mysore (ICML (3), 2013)

Source Separation of Polyphonic Music with Interactive User-Feedback on a Piano Roll Display. - Nicholas J. Bryan; Gautham J. Mysore; Ge Wang 002 (ISMIR, 2013)

ISSE: an interactive source separation editor. - Nicholas J. Bryan; Gautham J. Mysore; Ge Wang 002 (CHI, 2014)

Data Augmentation and Deep Convolutional Neural Networks for Blind Room Acoustic Parameter Estimation. - Nicholas J. Bryan (CoRR, 2019)

Impulse Response Data Augmentation and Deep Neural Networks for Blind Room Acoustic Parameter Estimation. - Nicholas J. Bryan (ICASSP, 2020)

Disentangled Multidimensional Metric Learning for Music Similarity. - Jongpil Lee; Nicholas J. Bryan; Justin Salamon; Zeyu Jin; Juhan Nam (ICASSP, 2020)

One-Shot Parametric Audio Production Style Transfer with Application to Frequency Equalization. - Stylianos I. Mimilakis; Nicholas J. Bryan; Paris Smaragdis (ICASSP, 2020)

Few-Shot Sound Event Detection. - Yu Wang 105; Justin Salamon; Nicholas J. Bryan; Juan Pablo Bello (ICASSP, 2020)

A Differentiable Perceptual Audio Metric Learned from Just Noticeable Differences. - Pranay Manocha; Adam Finkelstein; Richard Zhang 001; Nicholas J. Bryan; Gautham J. Mysore; Zeyu Jin (INTERSPEECH, 2020)

Controllable Neural Prosody Synthesis. - Max Morrison; Zeyu Jin; Justin Salamon; Nicholas J. Bryan; Gautham J. Mysore (INTERSPEECH, 2020)

Few-shot Drum Transcription in Polyphonic Music. - Yu Wang 105; Justin Salamon; Mark Cartwright; Nicholas J. Bryan; Juan Pablo Bello (ISMIR, 2020)

Metric learning vs classification for disentangled music representation learning. - Jongpil Lee; Nicholas J. Bryan; Justin Salamon; Zeyu Jin; Juhan Nam (ISMIR, 2020)

Scene-Aware Audio Rendering via Deep Acoustic Analysis. - Zhenyu Tang 001; Nicholas J. Bryan; Dingzeyu Li; Timothy R. Langlois; Dinesh Manocha (IEEE Trans. Vis. Comput. Graph., 2020)

Few-Shot Continual Learning for Audio Classification. - Yu Wang 105; Nicholas J. Bryan; Mark Cartwright; Juan Pablo Bello; Justin Salamon (ICASSP, 2021)

Context-Aware Prosody Correction for Text-Based Speech Editing. - Max Morrison; Lucas Rencker; Zeyu Jin; Nicholas J. Bryan; Juan Pablo Cáceres; Bryan Pardo (ICASSP, 2021)

Differentiable Signal Processing With Black-Box Audio Effects. - Marco A. Martínez Ramírez; Oliver Wang; Paris Smaragdis; Nicholas J. Bryan (ICASSP, 2021)

Deep Embeddings and Section Fusion Improve Music Segmentation. - Justin Salamon; Oriol Nieto; Nicholas J. Bryan (ISMIR, 2021)

Emotion Embedding Spaces for Matching Music to Stories. - Minz Won; Justin Salamon; Nicholas J. Bryan; Gautham J. Mysore; Xavier Serra (ISMIR, 2021)

Auto-DSP: Learning to Optimize Acoustic Echo Cancellers. - Jonah Casebeer; Nicholas J. Bryan; Paris Smaragdis (WASPAA, 2021)

Who Calls The Shots? Rethinking Few-Shot Learning for Audio. - Yu Wang 105; Nicholas J. Bryan; Justin Salamon; Mark Cartwright; Juan Pablo Bello (WASPAA, 2021)

Neural Remixer: Learning to Remix Music with Interactive Control. - Haici Yang; Shivani Firodiya; Nicholas J. Bryan; Minje Kim (CoRR, 2021)

Neural Pitch-Shifting and Time-Stretching with Controllable LPCNet. - Max Morrison; Zeyu Jin; Nicholas J. Bryan; Juan Pablo Cáceres; Bryan Pardo (CoRR, 2021)

Don't Separate, Learn To Remix: End-To-End Neural Remixing With Joint Optimization. - Haici Yang; Shivani Firodiya; Nicholas J. Bryan; Minje Kim (ICASSP, 2022)

Meta-Learning for Adaptive Filters with higher-order Frequency Dependencies. - Junkai Wu; Jonah Casebeer; Nicholas J. Bryan; Paris Smaragdis (IWAENC, 2022)

Style Transfer of Audio Effects with Differentiable Signal Processing. - Christian J. Steinmetz; Nicholas J. Bryan; Joshua D. Reiss (CoRR, 2022)

Meta-AF: Meta-Learning for Adaptive Filters. - Jonah Casebeer; Nicholas J. Bryan; Paris Smaragdis (IEEE ACM Trans. Audio Speech Lang. Process., 2023)

DITTO: Diffusion Inference-Time T-Optimization for Music Generation. - Zachary Novack; Julian J. McAuley; Taylor Berg-Kirkpatrick; Nicholas J. Bryan (ICML, 2024)

DITTO-2: Distilled Diffusion Inference-Time T-Optimization for Music Generation. - Zachary Novack; Julian J. McAuley; Taylor Berg-Kirkpatrick; Nicholas J. Bryan (ISMIR, 2024)

Scaling Up Adaptive Filter Optimizers. - Jonah Casebeer; Nicholas J. Bryan; Paris Smaragdis (CoRR, 2024)

MusicHiFi: Fast High-Fidelity Stereo Vocoding. - Ge Zhu; Juan Pablo Cáceres; Zhiyao Duan; Nicholas J. Bryan (IEEE Signal Process. Lett., 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)

Presto! Distilling Steps and Layers for Accelerating Music Generation. - Zachary Novack; Ge Zhu; Jonah Casebeer; Julian J. McAuley; Taylor Berg-Kirkpatrick; Nicholas J. Bryan (ICLR, 2025)

DRAGON: Distributional Rewards Optimize Diffusion Generative Models. - Yatong Bai; Jonah Casebeer; Somayeh Sojoudi; Nicholas J. Bryan (CoRR, 2025)