1 citations · 1 across the 2 of their papers we have counts for
3 papers
cs.AI2026
Co-PiLOT: Constrained Physics-Informed Latent Optimization for Target-Driven Inverse Design
Mahish K. Guru, Mayank Nagar, Ayush vyas +3
Inverse design of physical systems (molecules, devices, microstructures) often reduces to optimizing a high-dimensional structure against an expensive black-box simulator. Direct s…
cs.AI2026
Beyond Top-K: Replacing Black-Box Retrieval with Interpretable Agentic Operations
Sagar Tamang, Ayush Vyas, Tabarakul Hazarika
Retrieval-augmented generation over long documents is dominated by one design: chunk the text, embed the chunks, and surface the top-k nearest neighbours of the query. We argue tha…
stat.ML2017★ 1 cited
Optimization of Ensemble Supervised Learning Algorithms for Increased Sensitivity, Specificity, and AUC of Population-Based Colorectal Cancer Screenings
Anirudh Kamath, Aditya Singh, Raj Ramnani +2
Over 150,000 new people in the United States are diagnosed with colorectal cancer each year. Nearly a third die from it (American Cancer Society). The only approved noninvasive dia…