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.
- ‘Lyapunov based Stochastic Stability of Human-Machine Interaction: A Quantum Decision System Approach‘, L. Snow, S. Jain, CV. Krishnamurthy, IEEE 61st Conference on Decision and Control, 2022
- ‘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