publications

Publications, in reverse chronological order.

2025

  1. ML-Dev-Bench: Comparative Analysis of AI Agents on ML Development Workflows
    Harshith Padigela, Chintan Shah, and Dinkar Juyal
    In ICLR 2025 Workshop on Deep Learning for Code (DL4C), 2025
    arXiv Code

2024

  1. PLUTO: Pathology-Universal Transformer
    Dinkar Juyal, Harshith Padigela, Chintan Shah, and 30 more authors
    arXiv preprint arXiv:2405.07905, 2024
    Accepted at ICML 2024 workshops: ML for Life and Material Science, Foundation Models in the Wild, and Accessible and Efficient Foundation Models for Biological Discovery
    arXiv
  2. SC-MIL: Supervised Contrastive Multiple Instance Learning for Imbalanced Classification
    Dinkar Juyal, Siddhant Shingi, Syed Ashar Javed, and 6 more authors
    In IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2024
    PDF
  3. Interpretability Analysis on a Pathology Foundation Model Reveals Biologically Relevant Embeddings Across Modalities
    Nhat Minh Le, Ciyue Shen, Neel Patel, and 13 more authors
    In ICML 2024 Workshop on Mechanistic Interpretability, 2024
    arXiv
  4. AI-based Automation of Enrollment Criteria and Endpoint Assessment in Clinical Trials in Liver Diseases
    Janani S. Iyer, Dinkar Juyal, Quang Le, and 28 more authors
    Nature Medicine, 2024
    HTML

2023

  1. ContriMix: Scalable Stain Color Augmentation for Domain Generalization without Domain Labels in Digital Pathology
    Tan H. Nguyen, Dinkar Juyal, Jin Li, and 10 more authors
    arXiv preprint arXiv:2306.04527, 2023
    Best-performing official submission on the Camelyon17 track of the Stanford WILDS leaderboard
    arXiv Code Website

2022

  1. Additive MIL: Intrinsically Interpretable Multiple Instance Learning for Pathology
    Syed Ashar Javed, Dinkar Juyal, Harshith Padigela, and 3 more authors
    In Advances in Neural Information Processing Systems (NeurIPS), 2022
    PDF