Zachary Novack

According to our database, Zachary Novack authored at least 25 papers between 2023 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Bob's Confetti: Phonetic Memorization Attacks in Music and Video Generation.

Jaechul Roh, Zachary Novack, Yuefeng Peng, Niloofar Mireshghallah, Taylor Berg-Kirkpatrick, Amir Houmansadr

CoRR, July, 2025

WildFX: A DAW-Powered Pipeline for In-the-Wild Audio FX Graph Modeling.

Qihui Yang, Taylor Berg-Kirkpatrick, Julian J. McAuley, Zachary Novack

CoRR, July, 2025

Video-Guided Text-to-Music Generation Using Public Domain Movie Collections.

Haven Kim, Zachary Novack, Weihan Xu, Julian J. McAuley, Hao-Wen Dong

CoRR, June, 2025

Repurposing Marigold for Zero-Shot Metric Depth Estimation via Defocus Blur Cues.

Chinmay Talegaonkar, Nikhil Gandudi Suresh, Zachary Novack, Yash Belhe, Priyanka Nagasamudra, Nicholas Antipa

CoRR, May, 2025

Fast Text-to-Audio Generation with Adversarial Post-Training.

Zachary Novack, Zach Evans, Zack Zukowski, Josiah Taylor, CJ Carr, Julian Parker, Adnan Al-Sinan, Gian Marco Iodice, Julian J. McAuley, Taylor Berg-Kirkpatrick, Jordi Pons

CoRR, May, 2025

Are you really listening? Boosting Perceptual Awareness in Music-QA Benchmarks.

Yongyi Zang, Sean O'Brien, Taylor Berg-Kirkpatrick, Julian J. McAuley, Zachary Novack

CoRR, April, 2025

Aligning Text-to-Music Evaluation with Human Preferences.

Yichen Huang, Zachary Novack, Koichi Saito, Jiatong Shi, Shinji Watanabe, Yuki Mitsufuji, John Thickstun, Chris Donahue

CoRR, March, 2025

PDMX: A Large-Scale Public Domain MusicXML Dataset for Symbolic Music Processing.

Phillip Long, Zachary Novack, Julian J. McAuley, Taylor Berg-Kirkpatrick

Dataset, March, 2025

Deriving Representative Structure from Music Corpora.

Ilana Shapiro, Ruanqianqian (Lisa) Huang, Zachary Novack, Cheng-i Wang, Hao-Wen Dong, Taylor Berg-Kirkpatrick, Shlomo Dubnov, Sorin Lerner

CoRR, February, 2025

PDMX: A Large-Scale Public Domain MusicXML Dataset for Symbolic Music Processing.

Phillip Long, Zachary Novack, Julian J. McAuley, Taylor Berg-Kirkpatrick

Dataset, February, 2025

PDMX: A Large-Scale Public Domain MusicXML Dataset for Symbolic Music Processing.

Phillip Long, Zachary Novack, Julian John McAuley, Taylor Berg-Kirkpatrick

Dataset, January, 2025

Presto! Distilling Steps and Layers for Accelerating Music Generation.

Zachary Novack, Ge Zhu, Jonah Casebeer, Julian J. McAuley, Taylor Berg-Kirkpatrick, Nicholas J. Bryan

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

FUTGA-MIR: Enhancing Fine-grained and Temporally-aware Music Understanding with Music Information Retrieval.

Junda Wu, Zachary Novack, Amit Namburi, Hao-Wen Dong, Carol Chen, Jiaheng Dai, Julian J. McAuley

Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

CoLLAP: Contrastive Long-form Language-Audio Pretraining with Musical Temporal Structure Augmentation.

Junda Wu, Warren Li, Zachary Novack, Amit Namburi, Carol Chen, Julian J. McAuley

Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

PDMX: A Large-Scale Public Domain MusicXML Dataset for Symbolic Music Processing.

Phillip Long, Zachary Novack, Taylor Berg-Kirkpatrick, Julian J. McAuley

Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

2024

PDMX: A Large-Scale Public Domain MusicXML Dataset for Symbolic Music Processing.

Phillip Long, Zachary Novack, Julian J. McAuley, Taylor Berg-Kirkpatrick

Dataset, October, 2024

PDMX: A Large-Scale Public Domain MusicXML Dataset for Symbolic Music Processing.

Phillip Long, Zachary Novack, Julian J. McAuley, Taylor Berg-Kirkpatrick

Dataset, October, 2024

PDMX: A Large-Scale Public Domain MusicXML Dataset for Symbolic Music Processing.

Phillip Long, Zachary Novack, Julian J. McAuley, Taylor Berg-Kirkpatrick

Dataset, October, 2024

PDMX: A Large-Scale Public Domain MusicXML Dataset for Symbolic Music Processing.

Phillip Long, Zachary Novack, Julian J. McAuley, Taylor Berg-Kirkpatrick

Dataset, September, 2024

Futga: Towards Fine-grained Music Understanding through Temporally-enhanced Generative Augmentation.

Junda Wu, Zachary Novack, Amit Namburi, Jiaheng Dai, Hao-Wen Dong, Zhouhang Xie, Carol Chen, Julian J. McAuley

CoRR, 2024

DITTO-2: Distilled Diffusion Inference-Time T-Optimization for Music Generation.

Zachary Novack, Julian J. McAuley, Taylor Berg-Kirkpatrick, Nicholas J. Bryan

Proceedings of the 25th International Society for Music Information Retrieval Conference, 2024

DITTO: Diffusion Inference-Time T-Optimization for Music Generation.

Zachary Novack, Julian J. McAuley, Taylor Berg-Kirkpatrick, Nicholas J. Bryan

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

Unsupervised Lead Sheet Generation via Semantic Compression.

Zachary Novack, Nikita Srivatsan, Taylor Berg-Kirkpatrick, Julian J. McAuley

CoRR, 2023

CHiLS: Zero-Shot Image Classification with Hierarchical Label Sets.

Zachary Novack, Julian J. McAuley, Zachary Chase Lipton, Saurabh Garg

Proceedings of the International Conference on Machine Learning, 2023

Disentangling the Mechanisms Behind Implicit Regularization in SGD.

Zachary Novack, Simran Kaur, Tanya Marwah, Saurabh Garg, Zachary Chase Lipton

Proceedings of the Eleventh International Conference on Learning Representations, 2023