13 citations · 17 across the 15 of their papers we have counts for
8 papers · 1 filter
When Measurement Constraints Favor Quantum Computational Sensing for Stealthy Power-Grid Attack Detection
Saisubramaniam Gopalakrishnan, Supreeth B S, Pranav Sarda +2
Power-grid defenses that rely on digital telemetry remain vulnerable to stealthy attacks that preserve plausible reported states while altering the underlying physical system. We s…
From Metaheuristics to Exact Methods: A CP-SAT Approach for Multi-Objective Healthcare Workforce Scheduling
Vipul Patel, Anirudh Deodhar, Dagnachew Birru
Healthcare workforce scheduling is an NP-hard optimization problem requiring simultaneous satisfaction of labor regulations, coverage requirements, employee preferences and cost ob…
CP-WSP: A Declarative CP-SAT Framework for Configurable Multi-Constraint Workforce Scheduling
Vipul Patel, Anirudh Deodhar, Dagnachew Birru
Workforce scheduling is an NP-hard combinatorial optimization problem requiring simultaneous satisfaction of labor regulations, coverage requirements, employee preferences and oper…
GNBAN: Graph Neural Basis Attention Networks for Long-Horizon Forecasting over Large Entity Sets
Janak M. Patel, Anirudh Deodhar, Dagnachew Birru
Demand forecasting at the bottom of a retail hierarchy requires predicting tens of thousands of correlated long-horizon series across products, stores, and regions. Modern systems…
Surrogate-Guided Quantum Discovery in Black-Box Landscapes with Latent-Quadratic Interaction Embedding Transformers
Saisubramaniam Gopalakrishnan, Dagnachew Birru
Discovering configurations that are both high-utility and structurally diverse under expensive black-box evaluation and strict query budgets remains a central challenge in data-dri…
PROTEUS: SLA-Aware Routing via Lagrangian RL for Multi-LLM Serving Systems
Amit Singh Bhatti, Vishal Vaddina, Dagnachew Birru
Production LLM deployments serve diverse workloads where cost and quality requirements vary by customer tier, time of day, and query criticality. Model serving systems accept laten…
Search-Based Risk Feature Discovery in Document Structure Spaces under a Constrained Budget
Saisubramaniam Gopalakrishnan, Harikrishnan P M, Dagnachew Birru
Enterprise-grade Intelligent Document Processing (IDP) systems support high-stakes workflows across finance, insurance, and healthcare. Early-phase system validation under limited…
Responsible AI for General-Purpose Systems: Overview, Challenges, and A Path Forward
Gourab K Patro, Himanshi Agrawal, Himanshu Gharat +4
Modern general-purpose AI systems made using large language and vision models, are capable of performing a range of tasks like writing text articles, generating and debugging codes…