Vikram Krishnamurthy

ORCID

Publication Activity (10 Years)

Years Active: 1991-2024
Publications (10 Years): 144

Top Venues

CoRR

ICASSP

CDC

IEEE Trans. Signal Process.

Publications

Luke Snow, Vikram Krishnamurthy
Adaptive Mechanism Design using Multi-Agent Revealed Preferences. CoRR (2024)
Shashwat Jain, Vikram Krishnamurthy, Muralidhar Rangaswamy, Bosung Kang, Sandeep Gogineni
Fisher Information Approach for Masking the Sensing Plan: Applications in Multifunction Radars. CoRR (2024)
Adit Jain, Vikram Krishnamurthy
Structured Reinforcement Learning for Incentivized Stochastic Covert Optimization. IEEE Control. Syst. Lett. 8 (2024)
Adit Jain, Vikram Krishnamurthy
Structured Reinforcement Learning for Incentivized Stochastic Covert Optimization. CoRR (2024)
Luke Snow, Shashwat Jain, Vikram Krishnamurthy
Lyapunov based stochastic stability of a quantum decision system for human-machine interaction. Autom. 164 (2024)
Adit Jain, Vikram Krishnamurthy
Identifying Hate Speech Peddlers in Online Platforms. A Bayesian Social Learning Approach for Large Language Model Driven Decision-Makers. CoRR (2024)
Rui Luo, Vikram Krishnamurthy
Fréchet-Statistics-Based Change Point Detection in Dynamic Social Networks. IEEE Trans. Comput. Soc. Syst. 11 (2) (2024)
Amir Leshem, Vikram Krishnamurthy, Tomer Boyarski
Distributed learning in congested environments with partial information. Autom. 169 (2024)
Adit Jain, Vikram Krishnamurthy
Controlling Federated Learning for Covertness. Trans. Mach. Learn. Res. 2024 (2024)
Kunal Pattanayak, Vikram Krishnamurthy
Necessary and Sufficient Conditions for Inverse Reinforcement Learning of Bayesian Stopping Time Problems. J. Mach. Learn. Res. 24 (2023)
Adit Jain, Vikram Krishnamurthy
Controlling Federated Learning for Covertness. CoRR (2023)
Vikram Krishnamurthy
Interval dominance based structural results for Markov decision process. Autom. 153 (2023)
Shashwat Jain, Vikram Krishnamurthy, Muralidhar Rangaswamy, Bosung Kang, Sandeep Gogineni
Radar Clutter Covariance Estimation: A Nonlinear Spectral Shrinkage Approach. IEEE Trans. Aerosp. Electron. Syst. 59 (6) (2023)
Anurag Gupta, Vikram Krishnamurthy
Energy-Efficient Mining for Blockchain-Enabled IoT Applications. An Optimal Multiple-Stopping Time Approach. CoRR (2023)
Shashwat Jain, Vikram Krishnamurthy, Muralidhar Rangaswamy, Bosung Kang, Sandeep Gogineni
Radar Clutter Covariance Estimation: A Nonlinear Spectral Shrinkage Approach. ICASSP (2023)
Kunal Pattanayak, Vikram Krishnamurthy, Christopher Berry
Metacognitive Radar: Masking Cognition From an Inverse Reinforcement Learner. IEEE Trans. Aerosp. Electron. Syst. 59 (6) (2023)
Rui Luo, Vikram Krishnamurthy
Fréchet Statistics Based Change Point Detection in Dynamic Social Networks. CoRR (2023)
Vikram Krishnamurthy
Adaptive Filtering Algorithms For Set-Valued Observations-Symmetric Measurement Approach To Unlabeled And Anonymized Data. ICASSP (2023)
Rui Luo, Vikram Krishnamurthy
Who You Play Affects How You Play: Predicting Sports Performance Using Graph Attention Networks With Temporal Convolution. CoRR (2023)
Rui Luo, Vikram Krishnamurthy
Fréchet Statistics Based Change Point Detection in Multivariate Hawkes Process. CoRR (2023)
Luke Snow, Vikram Krishnamurthy
Finite-Sample Bounds for Adaptive Inverse Reinforcement Learning using Passive Langevin Dynamics. CoRR (2023)
Luke Snow, Vikram Krishnamurthy, Brian M. Sadler
Statistical Detection of Coordination in a Cognitive Radar Network through Inverse Multi-Objective Optimization. FUSION (2023)
Luke Snow, Vikram Krishnamurthy
Finite-Sample Bounds for Adaptive Inverse Reinforcement Learning Using Passive Langevin Dynamics. CDC (2023)
Vikram Krishnamurthy
Adaptive Filtering Algorithms for Set-Valued Observations - Symmetric Measurement Approach to Unlabeled and Anonymized Data. IEEE Trans. Signal Process. 71 (2023)
Rui Luo, Buddhika Nettasinghe, Vikram Krishnamurthy
Anomalous Edge Detection in Edge Exchangeable Social Network Models. COPA (2023)
Shashwat Jain, Kunal Pattanayak, Vikram Krishnamurthy, Christopher Berry
Adaptive Eccm for Mitigating Smart Jammers. ICASSP (2023)
Rui Luo, Buddhika Nettasinghe, Vikram Krishnamurthy
Mutual Information Measure for Glass Ceiling Effect in Preferential Attachment Models. CoRR (2023)
Luke Snow, Vikram Krishnamurthy, Brian M. Sadler
Identifying Coordination in a Cognitive Radar Network - A Multi-Objective Inverse Reinforcement Learning Approach. ICASSP (2023)
Luke Snow, Vikram Krishnamurthy, Brian M. Sadler
Identifying Coordination in a Cognitive Radar Network - A Multi-Objective Inverse Reinforcement Learning Approach. CoRR (2022)
Luke Snow, Vikram Krishnamurthy, Brian M. Sadler
Quickest Detection for Human-Sensor Systems using Quantum Decision Theory. CoRR (2022)
Kunal Pattanayak, Vikram Krishnamurthy, Christopher Berry
Inverse-Inverse Reinforcement Learning. How to Hide Strategy from an Adversarial Inverse Reinforcement Learner. CoRR (2022)
Rui Luo, Buddhika Nettasinghe, Vikram Krishnamurthy
Echo Chambers and Segregation in Social Networks: Markov Bridge Models and Estimation. IEEE Trans. Comput. Soc. Syst. 9 (3) (2022)
Kunal Pattanayak, Vikram Krishnamurthy, Christopher Berry
How can a Radar Mask its Cognition? CoRR (2022)
Rui Luo, Buddhika Nettasinghe, Vikram Krishnamurthy
Controlling Segregation in Social Network Dynamics as an Edge Formation Game. IEEE Trans. Netw. Sci. Eng. 9 (4) (2022)
Rui Luo, Vikram Krishnamurthy, Erik Blasch
Hawkes Process Modeling of Block Arrivals in Bitcoin Blockchain. CoRR (2022)
Buddhika Nettasinghe, Kowe Kadoma, Mor Naaman, Vikram Krishnamurthy
Estimating Exposure to Information on Social Networks. CoRR (2022)
Vikram Krishnamurthy
Interval Dominance based Structural Results for Markov Decision Process. CoRR (2022)
Kunal Pattanayak, Shashwat Jain, Vikram Krishnamurthy, Christopher Berry
Adaptive ECCM for Mitigating Smart Jammers. CoRR (2022)
Kunal Pattanayak, Vikram Krishnamurthy, Christopher Berry
Meta-Cognition. An Inverse-Inverse Reinforcement Learning Approach for Cognitive Radars. FUSION (2022)
Kunal Pattanayak, Vikram Krishnamurthy, Christopher Berry
Meta-Cognition. An Inverse-Inverse Reinforcement Learning Approach for Cognitive Radars. CoRR (2022)
Vikram Krishnamurthy
Adaptive Filtering Algorithms for Set-Valued Observations - Symmetric Measurement Approach to Unlabeled and Anonymized Data. CoRR (2022)
Luke Snow, Shashwat Jain, Vikram Krishnamurthy
Lyapunov based Stochastic Stability of Human-Machine Interaction: A Quantum Decision System Approach. CDC (2022)
Luke Snow, Shashwat Jain, Vikram Krishnamurthy
Lyapunov based Stochastic Stability of a Quantum Decision System for Human-Machine Interaction. CoRR (2022)
Vikram Krishnamurthy, Luke Snow
Quickest Change Detection using Time Inconsistent Anticipatory and Quantum Decision Modeling. Allerton (2022)
Anurag Gupta, Vikram Krishnamurthy
Principal-Agent Problem as a Principled Approach to Electronic Counter-Countermeasures in Radar. IEEE Trans. Aerosp. Electron. Syst. 58 (4) (2022)
Kunal Pattanayak, Vikram Krishnamurthy, Christopher Berry
Inverse-Inverse Reinforcement Learning. How to Hide Strategy from an Adversarial Inverse Reinforcement Learner. CDC (2022)
Anurag Gupta, Vikram Krishnamurthy
Controlling Transaction Rate in Tangle Ledger: A Principal Agent Problem Approach. CoRR (2022)
Kunal Pattanayak, Vikram Krishnamurthy, Christopher Berry
How Can a Cognitive Radar Mask its Cognition? ICASSP (2022)
Vikram Krishnamurthy, George Yin
Multikernel Passive Stochastic Gradient Algorithms and Transfer Learning. IEEE Trans. Autom. Control. 67 (4) (2022)
Rui Luo, Vikram Krishnamurthy
Mitigating Misinformation Spread on Blockchain Enabled Social Media Networks. CoRR (2022)
Luke Snow, Shashwat Jain, Vikram Krishnamurthy
Lyapunov based Stochastic Stability of Human-Machine Interaction: A Quantum Decision System Approach. CoRR (2022)
Vikram Krishnamurthy
Quickest Change Detection With Time Inconsistent Anticipatory Agents In Cyber-Physical Systems. ICASSP (2021)
Tomer Boyarski, Amir Leshem, Vikram Krishnamurthy
Distributed learning in congested environments with partial information. CoRR (2021)
Rui Luo, Buddhika Nettasinghe, Vikram Krishnamurthy
Anomalous Edge Detection in Edge Exchangeable Social Network Models. CoRR (2021)
Geethu Joseph, Buddhika Nettasinghe, Vikram Krishnamurthy, Pramod K. Varshney
Controllability of Network Opinion in Erdös-Rényi Graphs Using Sparse Control Inputs. SIAM J. Control. Optim. 59 (3) (2021)
Bashar I. Ahmad, Simon J. Godsill, Vikram Krishnamurthy, Peter Willett, Muralidhar Rangaswamy
Foreword to the Special Section on Meta-Level and Adversarial Tracking. IEEE Trans. Aerosp. Electron. Syst. 57 (4) (2021)
Kunal Pattanayak, Vikram Krishnamurthy
Behavioral Economics Approach to Interpretable Deep Image Classification. Rationally Inattentive Utility Maximization Explains Deep Image Classification. CoRR (2021)
Buddhika Nettasinghe, Vikram Krishnamurthy
"What Do Your Friends Think?": Efficient Polling Methods for Networks Using Friendship Paradox. IEEE Trans. Knowl. Data Eng. 33 (3) (2021)
Buddhika Nettasinghe, Vikram Krishnamurthy
Maximum Likelihood Estimation of Power-law Degree Distributions via Friendship Paradox-based Sampling. ACM Trans. Knowl. Discov. Data 15 (6) (2021)
William Hoiles, S. M. Shahrear Tanzil, Vikram Krishnamurthy
Risk-Averse Caching Policies for YouTube Content in Femtocell Networks using Density Forecasting. IEEE Trans. Cloud Comput. 9 (1) (2021)
Vikram Krishnamurthy
Quickest Change Detection of Time Inconsistent Anticipatory Agents. Human-Sensor and Cyber-Physical Systems. IEEE Trans. Signal Process. 69 (2021)
Vikram Krishnamurthy, George Yin
Langevin Dynamics for Adaptive Inverse Reinforcement Learning of Stochastic Gradient Algorithms. J. Mach. Learn. Res. 22 (2021)
Kunal Pattanayak, Vikram Krishnamurthy
Unifying Classical and Bayesian Revealed Preference. CoRR (2021)
Buddhika Nettasinghe, Nazanin Alipourfard, Vikram Krishnamurthy, Kristina Lerman
A Directed, Bi-Populated Preferential Attachment Model with Applications to Analyzing the Glass Ceiling Effect. CoRR (2021)
Vikram Krishnamurthy, Kunal Pattanayak, Sandeep Gogineni, Bosung Kang, Muralidhar Rangaswamy
Adversarial Radar Inference: Inverse Tracking, Identifying Cognition, and Designing Smart Interference. IEEE Trans. Aerosp. Electron. Syst. 57 (4) (2021)
Vikram Krishnamurthy, Rui Luo, Buddhika Nettasinghe
Segregation in Social Networks: MARKOV Bridge Models and Estimation. ICASSP (2021)
Buddhika Nettasinghe, Nazanin Alipourfard, Stephen Iota, Vikram Krishnamurthy, Kristina Lerman
Scale-free degree distributions, homophily and the glass ceiling effect in directed networks. J. Complex Networks 10 (2) (2021)
Buddhika Nettasinghe, Nazanin Alipourfard, Vikram Krishnamurthy, Kristina Lerman
Emergence of Structural Inequalities in Scientific Citation Networks. CoRR (2021)
Sujay Bhatt, Vikram Krishnamurthy
Controlled Sequential Information Fusion With Social Sensors. IEEE Trans. Autom. Control. 66 (12) (2021)
Alec Koppel, Amrit S. Bedi, Vikram Krishnamurthy
A Dynamical Systems Perspective on Online Bayesian Nonparametric Estimators with Adaptive Hyperparameters. ICASSP (2021)
Rui Luo, Buddhika Nettasinghe, Vikram Krishnamurthy
Controlling Segregation in Social Network Dynamics as an Edge Formation Game. CoRR (2021)
Vikram Krishnamurthy, Daniel Angley, Robin J. Evans, Bill Moran
Identifying Cognitive Radars - Inverse Reinforcement Learning Using Revealed Preferences. IEEE Trans. Signal Process. 68 (2020)
Rui Luo, Buddhika Nettasinghe, Vikram Krishnamurthy
Echo Chambers and Segregation in Social Networks: Markov Bridge Models and Estimation. CoRR (2020)
Robert Mattila, Cristian R. Rojas, Vikram Krishnamurthy, Bo Wahlberg
Inverse Filtering for Hidden Markov Models with Applications to Counter-Adversarial Autonomous Systems. CoRR (2020)
Vikram Krishnamurthy, Kunal Pattanayak, Sandeep Gogineni, Bosung Kang, Muralidhar Rangaswamy
Adversarial Radar Inference: Inverse Tracking, Identifying Cognition and Designing Smart Interference. CoRR (2020)
Geethu Joseph, Buddhika Nettasinghe, Vikram Krishnamurthy, Pramod K. Varshney
Controllability of Network Opinion in Erdős-Rényi Graphs using Sparse Control Inputs. CoRR (2020)
Bingjia Wang, Alec Koppel, Vikram Krishnamurthy
A Markov Decision Process Approach to Active Meta Learning. CoRR (2020)
Robert Mattila, Cristian R. Rojas, Vikram Krishnamurthy, Bo Wahlberg
Inverse Filtering for Hidden Markov Models With Applications to Counter-Adversarial Autonomous Systems. IEEE Trans. Signal Process. 68 (2020)
Vikram Krishnamurthy, George Yin
Langevin Dynamics for Inverse Reinforcement Learning of Stochastic Gradient Algorithms. CoRR (2020)
Buddhika Nettasinghe, Vikram Krishnamurthy, Kristina Lerman
Diffusion in Social Networks: Effects of Monophilic Contagion, Friendship Paradox, and Reactive Networks. IEEE Trans. Netw. Sci. Eng. 7 (3) (2020)
Vikram Krishnamurthy
Convex Stochastic Dominance in Bayesian Localization, Filtering, and Controlled Sensing POMDPs. IEEE Trans. Inf. Theory 66 (5) (2020)
Vikram Krishnamurthy
Anticipatory Psychological Models for Quickest Change Detection: Human Sensor Interaction. CoRR (2020)
Robert Mattila, Cristian R. Rojas, Eric Moulines, Vikram Krishnamurthy, Bo Wahlberg
Fast and Consistent Learning of Hidden Markov Models by Incorporating Non-Consecutive Correlations. ICML (2020)
Kunal Pattanayak, Vikram Krishnamurthy
Inverse Reinforcement Learning for Sequential Hypothesis Testing and Search. CoRR (2020)
Sujay Bhatt, Alec Koppel, Vikram Krishnamurthy
Policy Gradient using Weak Derivatives for Reinforcement Learning. CoRR (2020)
Kunal Pattanayak, Vikram Krishnamurthy, Erik Blasch
Inverse Sequential Hypothesis Testing. FUSION (2020)
Vikram Krishnamurthy, George Yin
Adaptive Non-reversible Stochastic Gradient Langevin Dynamics. CoRR (2020)
William Hoiles, Vikram Krishnamurthy, Kunal Pattanayak
Rationally Inattentive Inverse Reinforcement Learning Explains YouTube Commenting Behavior. J. Mach. Learn. Res. 21 (2020)
Vikram Krishnamurthy, George Yin
Multi-kernel Passive Stochastic Gradient Algorithms. CoRR (2020)
Robert Mattila, Inês Lourenço, Vikram Krishnamurthy, Cristian R. Rojas, Bo Wahlberg
What did your adversary believeƒ Optimal Filtering and Smoothing in Counter-Adversarial Autonomous Systems. ICASSP (2020)
Buddhika Nettasinghe, Vikram Krishnamurthy
Maximum likelihood estimation of power-law degree distributions using friendship paradox based sampling. CoRR (2019)
S. M. Shahrear Tanzil, Omid Namvar Gharehshiran, Vikram Krishnamurthy
A Distributed Coalition Game Approach to Femto-Cloud Formation. IEEE Trans. Cloud Comput. 7 (1) (2019)
Sujay Bhatt, Alec Koppel, Vikram Krishnamurthy
Policy Gradient using Weak Derivatives for Reinforcement Learning. CISS (2019)
Sujay Bhatt, Vikram Krishnamurthy
Adaptive Polling in Hierarchical Social Networks Using Blackwell Dominance. IEEE Trans. Signal Inf. Process. over Networks 5 (3) (2019)
Robert Mattila, Inês Lourenço, Cristian R. Rojas, Vikram Krishnamurthy, Bo Wahlberg
Estimating Private Beliefs of Bayesian Agents Based on Observed Decisions. IEEE Control. Syst. Lett. 3 (3) (2019)
Nazanin Alipourfard, Buddhika Nettasinghe, Andrés Abeliuk, Vikram Krishnamurthy, Kristina Lerman
Friendship Paradox Biases Perceptions in Directed Networks. CoRR (2019)
Sujay Bhatt, Alec Koppel, Vikram Krishnamurthy
Policy Gradient using Weak Derivatives for Reinforcement Learning. CDC (2019)
Vikram Krishnamurthy
Convex Stochastic Dominance in Bayesian Estimation and Controlled Sensing POMDPs. CoRR (2019)
Vikram Krishnamurthy, Kusha Nezafati, Vikrant Singh
Application of Machine Learning and Spatial Bootstrapping to Image Processing for Predictive Maintenance. IEEE BigData (2019)
Robert Mattila, Inês Lourenço, Vikram Krishnamurthy, Cristian R. Rojas, Bo Wahlberg
What Did Your Adversary Believe? Optimal Filtering and Smoothing in Counter-Adversarial Autonomous Systems. CoRR (2019)

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Publication Activity (10 Years)

Top Topics

Top Venues

Vikram Krishnamurthy