From the 1 of 8 linked papers with an AI index.
6 papers · 1 filter
Finite-Sample Conformal Coverage Recovery via Fusion under Degraded Local Guarantees in Occupancy Map Estimation
Ritvik Mahajan, Aneesh Raghavan, Karl Henrik Johansson
The paper proposes a distributed fusion method that combines locally calibrated conformal prediction maps from multiple robots to achieve a user‑specified coverage guarantee in occ…
Approximate Simulation-Based Verification of Compatibility of the Friedkin-Johnsen Model with Binary Observations
Yu Xing, Aneesh Raghavan, Michael T. Schaub +1
We consider a verification problem for opinion dynamics based on binary observations. The opinion dynamics is governed by a Friedkin-Johnsen (FJ) model, where only a sequence of bi…
Sequential Binary Hypothesis Testing with Competing Agents under Information Asymmetry
Aneesh Raghavan, M. Umar B. Niazi, Karl H. Johansson
This paper concerns sequential hypothesis testing in competitive multi-agent systems where agents exchange potentially manipulated information. Specifically, a two-agent scenario i…
An Active Parameter Learning Approach to The Identification of Safe Regions
Aneesh Raghavan, Karl H Johansson
We consider the problem of identification of safe regions in the environment of an autonomous system. The environment is divided into a finite collections of Voronoi cells, with ea…
Cooperative Hypothesis Testing by Two Observers with Asymmetric Information
Aneesh Raghavan, John S. Baras
We consider the binary hypothesis testing problem with two observers. There are two possible states of nature (or hypotheses). Observations collected by the two observers are stati…
Collaborative Estimation of Real Valued Function by Two Agents and a Fusion Center with Knowledge Exchange
Aneesh Raghavan, Karl H. Johansson
We consider a collaborative iterative algorithm with two agents and a fusion center for estimation of a real valued function (or ``model") on the set of real numbers. While the dat…