constraint-driven selection 1deployment constraints 1inference optimization 1model compression 1multi-objective engineering 1
From the 1 of 2 linked papers with an AI index.
2 papers
cs.LG2026
Constraint-Driven Model Optimization: An Industry Framework for Selecting Compression and Acceleration Techniques in Modern Machine Learning Systems
Dhruv Shivkant, Saket Mohanty, Utkarsh Wadhwa +1
The paper introduces a constraint-driven, multi-objective framework for selecting model compression and acceleration techniques based on deployment constraints such as latency, mem…
astro-ph.IM2025
Probabilistic Link Budget Analysis for Low Earth Orbit Satellites in the Optical Regime
Dhruv Shivkant, Shreyaans Jain, Rohit K Ramakrishnan
Low Earth Orbit (LEO) optical satellite communication systems face performance challenges due to atmospheric effects such as scintillation, turbulence, wavefront distortion, beam s…