Bridging the Gap: Addressing Discrepancies in Diffusion Model Training for Classifier-Free Guidance. - Niket Patel; Luis Salamanca; Luis Barba (CoRR, 2023)

Learning to Compress: Local Rank and Information Compression in Deep Neural Networks. - Niket Patel; Ravid Shwartz-Ziv (CoRR, 2024)

On the Local Complexity of Linear Regions in Deep ReLU Networks. - Niket Patel; Guido Montúfar (CoRR, 2024)

Layer by Layer: Uncovering Hidden Representations in Language Models. - Oscar Skean; Md Rifat Arefin; Dan Zhao; Niket Patel; Jalal Naghiyev; Yann LeCun; Ravid Shwartz-Ziv (CoRR, 2025)

Task Priors: Enhancing Model Evaluation by Considering the Entire Space of Downstream Tasks. - Niket Patel; Randall Balestriero (CoRR, 2025)