You can also find my articles on my Google Scholar profile.


Conference Publications

DITTO: Diffusion Inference-Time T-Optimization for Music Generation
Zachary Novack, Julian McAuley, Taylor Berg-Kirkpatrick, Nicholas J. Bryan
International Conference on Machine Learning (ICML), 2024
Paper / Website / Summary / BibTex

CHiLS: Zero-Shot Image Classification with Hierarchical Label Sets
Zachary Novack, Julian McAuley, Zachary Lipton, Saurabh Garg
International Conference on Machine Learning (ICML), 2023
1st Workshop on Multimodal Representation Learning, ICLR, 2023
Paper / Code / Summary / BibTex

Disentangling the Mechanisms Behind Implicit Regularization in SGD
Zachary Novack, Simran Kaur, Tanya Marwah, Saurabh Garg, Zachary Lipton
International Conference on Learning Representations (ICLR), 2023
Spotlight at NeurIPS Workshop on The Benefits of Higher-Order Optimization in Machine Learning, 2022
Paper / Code / Summary / BibTex

Workshop Publications

Unsupervised Lead Sheet Generation via Semantic Compression
Zachary Novack, Nikita Srivatsan, Taylor Berg-Kirkpatrick, Julian McAuley
AES International Symposium on AI and the Musician
Paper / Code / Summary / BibTex

Non Refereed Publications

Personalized Sequential Recommendation for Adaptive Itemization in MOBA Games
Zachary Novack
Paper / Summary / BibTex

Towards Generalizable Deep Speech Anonymization
Aaron Broukhim, Zachary Novack
Paper / Summary / BibTex

Down the Rabbit Hole: Modeling Twitter Dynamics through Bayesian Inference
Zachary Novack
Paper / Summary / BibTex

Approximating Optimal Transport via GANs for Recourse Disparity Analysis
Zachary Novack, Qi Xuan Teo, Ryan Steed
Paper / Summary / BibTex

Lunch at the EigenSalad Bar: Linear Approaches to Dimensionality Reduction for Image Processing
Zachary Novack
Paper / Summary / BibTex