Abstract: This paper develops an algorithmic solution using Ising machines to solve large-scale higher-order binary optimization (HOBO) problems with inequality constraints for resource optimization ...

Support for Distributed GPU Training for scalable model training across multiple devices. Integration of the WorldPose Dataset as an additional benchmark for training and evaluation. Camera ...

Abstract: Software testing is an essential yet costly phase of the software development lifecycle. While machine learning-based test suite optimization techniques have shown promise in reducing ...

My graduate studies included learning about constraint-based optimization algorithms (such as linear programming) and ...