activity
20112022
most citedWhen to look at a noisy Markov chain in sequential decision making if measurements are costly?

6 citations · 26 across the 23 of their papers we have counts for

collaborators
Showing 2021Show all

6 papers · 1 filter

eess.SP2021

How can a Cognitive Radar Mask its Cognition?

Kunal Pattanayak, Vikram Krishnamurthy, Christopher Berry

We study how a cognitive radar can mask (hide) its cognitive ability from an adversarial jamming device. Specifically, if the radar optimally adapts its waveform based on adversari…

cs.SI20211 cited

Controlling Segregation in Social Network Dynamics as an Edge Formation Game

Rui Luo, Buddhika Nettasinghe, Vikram Krishnamurthy

This paper studies controlling segregation in social networks via exogenous incentives. We construct an edge formation game on a directed graph. A user (node) chooses the probabili…

physics.soc-ph2021

Emergence of Structural Inequalities in Scientific Citation Networks

Buddhika Nettasinghe, Nazanin Alipourfard, Vikram Krishnamurthy +1

Structural inequalities persist in society, conferring systematic advantages to some people at the expense of others, for example, by giving them substantially more influence and o…

cs.SI2021

A Directed, Bi-Populated Preferential Attachment Model with Applications to Analyzing the Glass Ceiling Effect

Buddhika Nettasinghe, Nazanin Alipourfard, Vikram Krishnamurthy +1

Preferential attachment, homophily and, their consequences such as the glass ceiling effect have been well-studied in the context of undirected networks. However, the lack of an in…

cs.MA2021

Distributed learning in congested environments with partial information

Tomer Boyarski, Amir Leshem, Vikram Krishnamurthy

How can non-communicating agents learn to share congested resources efficiently? This is a challenging task when the agents can access the same resource simultaneously (in contrast…

cs.LG2021

Rationally Inattentive Utility Maximization for Interpretable Deep Image Classification

Kunal Pattanayak, Vikram Krishnamurthy

Are deep convolutional neural networks (CNNs) for image classification explainable by utility maximization with information acquisition costs? We demonstrate that deep CNNs behave…