3 papers
cs.CV2025
PLUTO-4: Frontier Pathology Foundation Models
Harshith Padigela, Shima Nofallah, Atchuth Naveen Chilaparasetti +11
Foundation models trained on large-scale pathology image corpora have demonstrated strong transfer capabilities across diverse histopathology tasks. Building on this progress, we i…
cs.SE2025
ML-Dev-Bench: Comparative Analysis of AI Agents on ML development workflows
Harshith Padigela, Chintan Shah, Dinkar Juyal
In this report, we present ML-Dev-Bench, a benchmark aimed at testing agentic capabilities on applied Machine Learning development tasks. While existing benchmarks focus on isolate…
eess.IV2024
Learning biologically relevant features in a pathology foundation model using sparse autoencoders
Nhat Minh Le, Ciyue Shen, Neel Patel +13
Pathology plays an important role in disease diagnosis, treatment decision-making and drug development. Previous works on interpretability for machine learning models on pathology…