publications

2026

  1. Formalizing Mathematics at Scale
    Ahmad Rammal, Niket Patel, Fabian Gloeckle, and 5 more authors
    arXiv preprint, 2026

2025

  1. Task Priors: Enhancing Model Evaluation by Considering the Entire Space of Downstream Tasks
    Niket Patel, and Randall Balestriero
    In NeurIPS UniReps Workshop, 2025
  2. Layer by Layer: Uncovering Hidden Representations in Language Models
    Oscar Skean, Md Rifat Arefin, Dan Zhao, and 4 more authors
    In International Conference on Machine Learning (ICML), 2025
    Spotlight Paper, Oral Presentation
  3. On the Local Complexity of Linear Regions in Deep ReLU Networks
    Niket Patel, and Guido Montúfar
    In International Conference on Machine Learning (ICML), 2025

2024

  1. Learning to Compress: Local Rank and Information Compression in Deep Neural Networks
    Niket Patel, and Ravid Shwartz-Ziv
    In NeurIPS Workshop on Compression, 2024

2023

  1. Bridging the Gap: Addressing Discrepancies in Diffusion Model Training for Classifier-Free Guidance
    Niket Patel, Luis Salamanca, and Luis Barba
    In NeurIPS Workshop on Diffusion Models, 2023