This is a select list of recent publications.
For a full list, please see Prof. Vikram Krishnamurthy’s google scholar profile or view arXiv preprints.
- Structured Reinforcement Learning for Incentivized Stochastic Covert Optimization, A. Jain, V. Krishnamurthy, IEEE Control Systems Letters, 2024.
- Controlling Federated Learning for Covertness, A. Jain, V. Krishnamurthy, Transactions on Machine Learning Research, 2024.
- Quickest Detection for Human-Sensor Systems using Quantum Decision Theory, L. Snow, V. Krishnamurthy, IEEE Transactions on Signal Processing, 2024.
- Interpretable Deep Image Classification using Rationally Inattentive Utility Maximization, K. Pattanayak, V. Krishnamurthy, A. Jain, IEEE Journal of Selected Topics in Signal Processing, 2024.
- Lyapunov based Stochastic Stability of Human-Machine Interaction: A Quantum Decision System Approach, L. Snow, S. Jain, CV. Krishnamurthy, Automatica, 2024.
- Finite-Sample Bounds for Adaptive Inverse Reinforcement Learning using Passive Langevin Dynamics, L. Snow, V. Krishnamurthy, 62nd IEEE International Conference on Decision and Control, 2023.
- Meta-Cognitive Radar. Masking Cognition From an Inverse Reinforcement Learner, K Pattanayak, V Krishnamurthy, CM Berry, IEEE Transactions on Aerospace and Electronic Systems, 2023.
- Anomalous edge detection in edge exchangeable social network models, R Luo, B Nettasinghe, V Krishnamurthy, Conformal and Probabilistic Prediction with Applications, 287-310, 2023.
- Adaptive Filtering Algorithms for Set-Valued Observations–Symmetric Measurement Approach to Unlabeled and Anonymized Data, V. Krishnamurthy, IEEE Transactions on Signal Processing, 2023.
- Fréchet-Statistics-Based Change Point Detection in Dynamic Social Networks, R. Luo, V. Krishnamurthy, IEEE Transactions on Computational Social Systems, 2023.
- Interval dominance based structural results for Markov decision process, V Krishnamurthy, Automatica, 2023.
- How can a Cognitive Radar Mask its Cognition?’, K. Pattanayak, V. Krishnamurthy, C. Berry, IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2022.
- Scale-free degree distributions, homophily and the glass ceiling effect in directed networks, B. Nettasinghe, N. Alipourfard, S. Iota, V. Krishnamurthy, K. Lerman, Journal of Complex Networks, 2022.
- Controlling Segregation in Social Network Dynamics as an Edge Formation Game, R. Luo, B. Nettasinghe, V. Krishnamurthy, IEEE Transactions on Network Science and Engineering, 2022.
- Principal agent problem as a principled approach to electronic counter-countermeasures in radar, A. Gupta, V. Krishnamurthy, IEEE Transactions on Aerospace and Electronic Systems, 2022.
- Echo chambers and segregation in social networks: Markov bridge models and estimation, R. Luo, B. Nettasinghe, V. Krishnamurthy, IEEE Transactions on Computational Social Systems, 2021.
- Multi-kernel Passive Stochastic Gradient Algorithms and Transfer Learning, V. Krishnamurthy, G. Yin, IEEE Transactions on Automatic Control, 2021.
- Langevin Dynamics for Adaptive Inverse Reinforcement Learning of Stochastic Gradient Algorithms, V. Krishnamurthy, G. Yin, Journal of Machine Learning Research, Vol.22. 2021.
- Maximum Likelihood Estimation of Power-law Degree Distributions via Friendship Paradox based Sampling, B. Nettasinghe, V. Krishnamurthy, ACM Transactions on Knowledge Discovery from Data, 2021.
- Controllability of Network Opinion in Erdos-Renyi Graphs Using Sparse Control Inputs, G. Joseph, B. Nettasinghe, V. Krishnamurthy, P. Varshney, SIAM Journal Control & Optimization, 2021.
- Quickest Change Detection of Time Inconsistent Anticipatory Agents. Human-Sensor and Cyber-Physical Systems, V. Krishnamurthy, IEEE Transactions Signal Processing, 2021.
- A Dynamical Systems Perspective on Online Bayesian Nonparametric Estimators with Adaptive Hyperparameters, A. Koppel, A. S. Bedi, V. Krishnamurthy, ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2021.
- Adversarial Radar Inference: Inverse Tracking, Identifying Cognition and Designing Smart Interference, V. Krishnamurthy, K. Pattanayak, S. Gogineni, B. Kang, M. Rangaswamy, IEEE Transactions Aerospace and Electronic Systems, 2021.
- Rationally inattentive inverse reinforcement learning explains youtube commenting behavior, W. Hoiles, V. Krishnamurthy, K. Pattanayak, Journal of Machine Learning Research, 2020.
- Friendship Paradox Biases Perceptions in Directed Networks, N. Alipourfard, B. Nettasinghe, A Abeliuk, V. Krishnamurthy, K Lerman, Nature Communications, Vol.11, pp.1–9, 2020.
- Convex Stochastic Dominance in Bayesian Localization, Filtering and Controlled Sensing POMDPs, V. Krishnamurthy, IEEE Transactions Information Theory, Vol.66, No.5, pp.3187–3201, 2020.
- Inverse filtering for hidden Markov models with applications to counter-adversarial autonomous systems, R. Mattila, C.R. Rojas, V. Krishnamurthy, B. Wahlberg, IEEE Transactions on Signal Processing, 2020.
- Identifying cognitive radars-inverse reinforcement learning using revealed preferences, V. Krishnamurthy, D. Angley, R. Evans, B. Moran, IEEE Transactions on Signal Processing, 2020.
- Inverse Sequential Hypothesis Testing, K. Pattanayak, V. Krishnamurthy, E. Blasch, 2020 IEEE 23rd International Conference on Information Fusion (FUSION), 2020.