1 citations · 2 across the 19 of their papers we have counts for
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The Rate-Distortion-Deception Tradeoff
Semih Akkoc, Sahan Liyanaarachchi, Sennur Ulukus +1
The problem of finding the optimal compression rate for a given random variable has been traditionally studied under two main constraints: distortion and perception. The distortion…
Preemption Revisited: Multi-Threshold Preemption Policies for AoI Minimization
Sahan Liyanaarachchi, Sennur Ulukus, Nail Akar
The study of optimal preemption policies for status update systems has been a recurring topic in the age of information (AoI) literature, where threshold-based structures have been…
Beyond Martingale Estimators: Structured Estimators for Maximizing Information Freshness in Query-Based Update Systems
Sahan Liyanaarachchi, Sennur Ulukus, Nail Akar
This paper investigates information freshness in a remote estimation system in which the remote information source is a continuous-time Markov chain (CTMC). For such systems, estim…
Multi-Stage Structured Estimators for Information Freshness
Sahan Liyanaarachchi, Sennur Ulukus, Nail Akar
Most of the contemporary literature on information freshness solely focuses on the analysis of freshness for martingale estimators, which simply use the most recently received upda…
Utilizing the Perceived Age to Maximize Freshness in Query-Based Update Systems
Sahan Liyanaarachchi, Sennur Ulukus, Nail Akar
Query-based sampling has become an increasingly popular technique for monitoring Markov sources in pull-based update systems. However, most of the contemporary literature on this a…
Age of Estimates: When to Submit Jobs to a Markov Machine to Maximize Revenue
Sahan Liyanaarachchi, Sennur Ulukus
With the dawn of AI factories ushering a new era of computing supremacy, development of strategies to effectively track and utilize the available computing resources is garnering u…