Vikram Krishnamurthy

Vikram Krishnamurthy

Cornell University

H-index: 62

North America-United States

About Vikram Krishnamurthy

Vikram Krishnamurthy, With an exceptional h-index of 62 and a recent h-index of 26 (since 2020), a distinguished researcher at Cornell University, specializes in the field of controlled sensing, statistical signal processing, social networks, inverse reinforcement learning.

His recent articles reflect a diverse array of research interests and contributions to the field:

Quickest detection for human-sensor systems using quantum decision theory

Lyapunov based stochastic stability of a quantum decision system for human–machine interaction

Adaptive Mechanism Design using Multi-Agent Revealed Preferences

Interpretable Deep Image Classification using Rationally Inattentive Utility Maximization

Fisher Information Approach for Masking the Sensing Plan: Applications in Multifunction Radars

Identifying coordination in a cognitive radar network-a multi-objective inverse reinforcement learning approach

Fr\'echet Statistics Based Change Point Detection in Multivariate Hawkes Process

Meta-Cognitive Radar. Masking Cognition From an Inverse Reinforcement Learner

Vikram Krishnamurthy Information

University

Position

Professor

Citations(all)

14251

Citations(since 2020)

3539

Cited By

12165

hIndex(all)

62

hIndex(since 2020)

26

i10Index(all)

223

i10Index(since 2020)

98

Email

University Profile Page

Cornell University

Google Scholar

View Google Scholar Profile

Vikram Krishnamurthy Skills & Research Interests

controlled sensing

statistical signal processing

social networks

inverse reinforcement learning

Top articles of Vikram Krishnamurthy

Title

Journal

Author(s)

Publication Date

Quickest detection for human-sensor systems using quantum decision theory

IEEE Transactions on Signal Processing

Luke Snow

Vikram Krishnamurthy

Brian M Sadler

2024/1/1

Lyapunov based stochastic stability of a quantum decision system for human–machine interaction

Automatica

Luke Snow

Shashwat Jain

Vikram Krishnamurthy

2024/6/1

Adaptive Mechanism Design using Multi-Agent Revealed Preferences

arXiv preprint arXiv:2404.15391

Luke Snow

Vikram Krishnamurthy

2024/4/23

Interpretable Deep Image Classification using Rationally Inattentive Utility Maximization

IEEE Journal of Selected Topics in Signal Processing

Kunal Pattanayak

Vikram Krishnamurthy

Adit Jain

2024/4/3

Fisher Information Approach for Masking the Sensing Plan: Applications in Multifunction Radars

arXiv preprint arXiv:2403.15966

Shashwat Jain

Vikram Krishnamurthy

Muralidhar Rangaswamy

Bosung Kang

Sandeep Gogineni

2024/3/24

Identifying coordination in a cognitive radar network-a multi-objective inverse reinforcement learning approach

Luke Snow

Vikram Krishnamurthy

Brian M Sadler

2023/6/4

Fr\'echet Statistics Based Change Point Detection in Multivariate Hawkes Process

arXiv preprint arXiv:2308.06769

Rui Luo

Vikram Krishnamurthy

2023/8/13

Meta-Cognitive Radar. Masking Cognition From an Inverse Reinforcement Learner

IEEE Transactions on Aerospace and Electronic Systems

Kunal Pattanayak

Vikram Krishnamurthy

Christopher M Berry

2023/9/12

Interval dominance based structural results for Markov decision process

Automatica

Vikram Krishnamurthy

2023/7/1

Mutual information measure for glass ceiling effect in preferential attachment models

arXiv preprint arXiv:2303.09990

Rui Luo

Buddhika Nettasinghe

Vikram Krishnamurthy

2023/3/17

Energy-efficient mining for blockchain-enabled IoT applications. An optimal multiple-stopping time approach

arXiv preprint arXiv:2305.05479

Anurag Gupta

Vikram Krishnamurthy

2023/5/9

Controlling Federated Learning for Covertness

arXiv preprint arXiv:2308.08825

Adit Jain

Vikram Krishnamurthy

2023/8/17

Fréchet-Statistics-Based Change Point Detection in Dynamic Social Networks

IEEE Transactions on Computational Social Systems

Rui Luo

Vikram Krishnamurthy

2023/8/1

Statistical Detection of Coordination in a Cognitive Radar Network through Inverse Multi-Objective Optimization

Luke Snow

Vikram Krishnamurthy

Brian M Sadler

2023/6/27

Necessary and sufficient conditions for inverse reinforcement learning of Bayesian stopping time problems

Journal of Machine Learning Research

Kunal Pattanayak

Vikram Krishnamurthy

2023

Adaptive eccm for mitigating smart jammers

arXiv preprint arXiv:2212.02002

Kunal Pattanayak

Shashwat Jain

Vikram Krishnamurthy

Chris Berry

2022/12/5

Adaptive Filtering Algorithms for Set-Valued Observations–Symmetric Measurement Approach to Unlabeled and Anonymized Data

IEEE Transactions on Signal Processing

Vikram Krishnamurthy

2023/7/10

Finite-sample bounds for adaptive inverse reinforcement learning using passive Langevin dynamics

Luke Snow

Vikram Krishnamurthy

2023/12/13

Anomalous edge detection in edge exchangeable social network models

Rui Luo

Buddhika Nettasinghe

Vikram Krishnamurthy

2023/8/17

Who You Play Affects How You Play: Predicting Sports Performance Using Graph Attention Networks With Temporal Convolution

arXiv preprint arXiv:2303.16741

Rui Luo

Vikram Krishnamurthy

2023/3/29

See List of Professors in Vikram Krishnamurthy University(Cornell University)

Co-Authors

H-index: 182
HV Poor

HV Poor

Princeton University

H-index: 108
Robert Schober

Robert Schober

Friedrich-Alexander-Universität Erlangen-Nürnberg

H-index: 70
Ba-Ngu Vo

Ba-Ngu Vo

Curtin University

H-index: 56
Qing Zhao

Qing Zhao

Cornell University

H-index: 43
Matthew R James

Matthew R James

Australian National University

H-index: 42
Bo Wahlberg

Bo Wahlberg

Kungliga Tekniska högskolan

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