Luke Snow - RankMe

22 papers C 1Misc 1Journal 16Unranked 4

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Efficient Counterfactual Estimation of Conditional Greeks via Malliavin-based Weak Derivatives. CoRR Vikram Krishnamurthy, Luke Snow
2026	J	`jnl`	Multiagent Inverse Reinforcement Learning for Radar-Based Detection of Pareto-Efficient UAV Coordination. IEEE Trans. Aerosp. Electron. Syst. Luke Snow, Vikram Krishnamurthy
2025	J	`jnl`	Efficient Neural SDE Training using Wiener-Space Cubature. CoRR Luke Snow, Vikram Krishnamurthy
2025	J	`jnl`	Finite-Sample Bounds for Adaptive Inverse Reinforcement Learning Using Passive Langevin Dynamics. IEEE Trans. Inf. Theory Luke Snow, Vikram Krishnamurthy
2025	J	`jnl`	Malliavin Calculus with Weak Derivatives for Counterfactual Stochastic Optimization. CoRR Vikram Krishnamurthy, Luke Snow
2025	J	`jnl`	Multi-Agent Inverse Learning for Sensor Networks: Identifying Coordination in UAV Networks. CoRR Luke Snow, Vikram Krishnamurthy
2025	J	`jnl`	Multi-Agent Inverse Reinforcement Learning for Identifying Pareto-Efficient Coordination - A Distributionally Robust Approach. CoRR Luke Snow, Vikram Krishnamurthy
2024	—	`conf`	Adaptive Mechanism Design using Multi-Agent Revealed Preferences. CDC Luke Snow, Vikram Krishnamurthy
2024	J	`jnl`	Adaptive Mechanism Design using Multi-Agent Revealed Preferences. CoRR Luke Snow, Vikram Krishnamurthy
2024	J	`jnl`	Distributionally Robust Inverse Reinforcement Learning for Identifying Multi-Agent Coordinated Sensing. CoRR Luke Snow, Vikram Krishnamurthy
2024	J	`jnl`	Lyapunov based stochastic stability of a quantum decision system for human-machine interaction. Autom. Luke Snow, Shashwat Jain, Vikram Krishnamurthy
2024	J	`jnl`	Quickest Detection for Human-Sensor Systems Using Quantum Decision Theory. IEEE Trans. Signal Process. Luke Snow, Vikram Krishnamurthy, Brian M. Sadler
2023	—	`conf`	Finite-Sample Bounds for Adaptive Inverse Reinforcement Learning Using Passive Langevin Dynamics. CDC Luke Snow, Vikram Krishnamurthy
2023	J	`jnl`	Finite-Sample Bounds for Adaptive Inverse Reinforcement Learning using Passive Langevin Dynamics. CoRR Luke Snow, Vikram Krishnamurthy
2023	Misc	`conf`	Identifying Coordination in a Cognitive Radar Network - A Multi-Objective Inverse Reinforcement Learning Approach. ICASSP Luke Snow, Vikram Krishnamurthy, Brian M. Sadler
2023	C	`conf`	Statistical Detection of Coordination in a Cognitive Radar Network through Inverse Multi-Objective Optimization. FUSION Luke Snow, Vikram Krishnamurthy, Brian M. Sadler
2022	J	`jnl`	Identifying Coordination in a Cognitive Radar Network - A Multi-Objective Inverse Reinforcement Learning Approach. CoRR Luke Snow, Vikram Krishnamurthy, Brian M. Sadler
2022	—	`conf`	Lyapunov based Stochastic Stability of Human-Machine Interaction: A Quantum Decision System Approach. CDC Luke Snow, Shashwat Jain, Vikram Krishnamurthy
2022	J	`jnl`	Lyapunov based Stochastic Stability of Human-Machine Interaction: A Quantum Decision System Approach. CoRR Luke Snow, Shashwat Jain, Vikram Krishnamurthy
2022	J	`jnl`	Lyapunov based Stochastic Stability of a Quantum Decision System for Human-Machine Interaction. CoRR Luke Snow, Shashwat Jain, Vikram Krishnamurthy
2022	—	`conf`	Quickest Change Detection using Time Inconsistent Anticipatory and Quantum Decision Modeling. Allerton Vikram Krishnamurthy, Luke Snow
2022	J	`jnl`	Quickest Detection for Human-Sensor Systems using Quantum Decision Theory. CoRR Luke Snow, Vikram Krishnamurthy, Brian M. Sadler