Journal Papers

Luke Snow, Vikram Krishnamurthy
Finite-Sample Bounds for Adaptive Inverse Reinforcement Learning using Passive Langevin Dynamics
IEEE Transactions on Information Theory, 2025 [pdf]

Luke Snow, Vikram Krishnamurthy, Brian M. Sadler
Quickest Detection for Human-Sensor Systems using Quantum Decision Theory
IEEE Transactions on Signal Processing, 2024 [pdf]

Luke Snow*, Shashwat Jain*, Vikram Krishnamurthy
Lyapunov-based Stochastic Stability of a Quantum Decision System for Human-Machine Interaction
Automatica, 2024 [pdf]

Conference Proceedings

Luke Snow, Vikram Krishnamurthy
Malliavin Calculus with Weak Derivatives for Counterfactual Stochastic Optimization
59th Annual Allerton Conference on Communication, Control, and Computing, 2022 [pdf]

Luke Snow, Vikram Krishnamurthy
Adaptive Mechanism Design using Multi-Agent Revealed Preferences
63rd IEEE Conference on Decision and Control, 2024 [pdf]

Luke Snow, Vikram Krishnamurthy
Finite-Sample Bounds for Adaptive Inverse Reinforcement Learning using Passive Langevin Dynamics
62nd IEEE Conference on Decision and Control, 2023 [pdf]

Luke Snow, Vikram Krishnamurthy, Brian M. Sadler
Statistical Detection of Coordination in a Cognitive Radar Network through Inverse Multi-Objective Optimization
26th International Conference on Information Fusion, 2023 [pdf]

Luke Snow, Vikram Krishnamurthy, Brian M. Sadler
Identifying Coordination in a Cognitive Radar Network - a Multi-Objective Inverse Reinforcement Learning Approach
IEEE International Conference on Acoustics, Speech and Signal Processing, 2023 [pdf]

Luke Snow, Vikram Krishnamurthy
Quickest Change Detection using Time Inconsistent Anticipatory and Quantum Decision Modeling
58th Annual Allerton Conference on Communication, Control, and Computing, 2022 [pdf]

Textbook Chapters

Luke Snow, Vikram Krishnamurthy
Multi‐Agent Inverse Learning for Sensor Networks: Identifying Coordination in UAV Networks
Wireless Sensor Networks in Smart Environments: Enabling Digitalization from Fundamentals to Advanced Solutions, 2025 [pdf]

ArXiv Preprints

Luke Snow, Vikram Krishnamurthy
Efficient Neural SDE Training using Wiener-Space Cubature
arXiv:2502.12395, 2025 [pdf]

Luke Snow, Vikram Krishnamurthy
Multi-Agent Inverse Reinforcement Learning for Identifying Pareto-Efficient Coordination--A Distributionally Robust Approach
arXiv:2509.08956, 2025 [pdf]

Luke Snow, Vikram Krishnamurthy
Data-Driven Automated Mechanism Design using Multi-Agent Revealed Preferences
arXiv:2404.15391, 2025 [pdf]

* indicates equal contribution.