Quickest Change Detection using Time Inconsistent Anticipatory and Quantum Decision Modeling. - Vikram Krishnamurthy; Luke Snow (Allerton, 2022)

Lyapunov based Stochastic Stability of Human-Machine Interaction: A Quantum Decision System Approach. - Luke Snow; Shashwat Jain; Vikram Krishnamurthy (CDC, 2022)

Statistical Detection of Coordination in a Cognitive Radar Network through Inverse Multi-Objective Optimization. - Luke Snow; Vikram Krishnamurthy; Brian M. Sadler (FUSION, 2023)

Identifying Coordination in a Cognitive Radar Network - A Multi-Objective Inverse Reinforcement Learning Approach. - Luke Snow; Vikram Krishnamurthy; Brian M. Sadler (ICASSP, 2023)

Adaptive Mechanism Design using Multi-Agent Revealed Preferences. - Luke Snow; Vikram Krishnamurthy (CDC, 2024)

Lyapunov based stochastic stability of a quantum decision system for human-machine interaction. - Luke Snow; Shashwat Jain; Vikram Krishnamurthy (Autom., 2024)

Distributionally Robust Inverse Reinforcement Learning for Identifying Multi-Agent Coordinated Sensing. - Luke Snow; Vikram Krishnamurthy (CoRR, 2024)

Quickest Detection for Human-Sensor Systems Using Quantum Decision Theory. - Luke Snow; Vikram Krishnamurthy; Brian M. Sadler (IEEE Trans. Signal Process., 2024)

Efficient Neural SDE Training using Wiener-Space Cubature. - Luke Snow; Vikram Krishnamurthy (CoRR, 2025)

Finite-Sample Bounds for Adaptive Inverse Reinforcement Learning Using Passive Langevin Dynamics. - Luke Snow; Vikram Krishnamurthy (IEEE Trans. Inf. Theory, 2025)