Aneesh Raghavan

According to our database, Aneesh Raghavan authored at least 18 papers between 2016 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2026

Approximate Simulation-Based Verification of Compatibility of the Friedkin-Johnsen Model with Binary Observations.

Yu Xing, Aneesh Raghavan, Michael T. Schaub, Karl Henrik Johansson

CoRR, April, 2026

2025

Sequential Binary Hypothesis Testing with Competing Agents under Information Asymmetry.

Aneesh Raghavan, Muhammad Umar B. Niazi, Karl Henrik Johansson

Proceedings of the 64th IEEE Conference on Decision and Control, 2025

2024

An Active Parameter Learning Approach to The Identification of Safe Regions.

Aneesh Raghavan, Karl Henrik Johansson

CoRR, 2024

Collaborative Estimation of Real Valued Function by Two Agents and a Fusion Center with Knowledge Exchange.

Aneesh Raghavan, Karl Henrik Johansson

CoRR, 2024

Motion Planning for Identification of Linear Classifiers.

Aneesh Raghavan, Karl Henrik Johansson

CoRR, 2024

Distributed Learning and Function Fusion in Reproducing Kernel Hilbert Space.

Aneesh Raghavan, Karl Henrik Johansson

CoRR, 2024

A multi-modal distributed learning algorithm in reproducing kernel Hilbert spaces.

Aneesh Raghavan, Karl Henrik Johansson

Proceedings of the 6th Annual Learning for Dynamics & Control Conference, 2024

Motion Planning for The Identification of Linear Classifiers with Noiseless Data: A Greedy Approach.

Aneesh Raghavan, Karl Henrik Johansson

Proceedings of the 63rd IEEE Conference on Decision and Control, 2024

Distributed Estimation by Two Agents with Different Feature Spaces.

Aneesh Raghavan, Karl Henrik Johansson

Proceedings of the American Control Conference, 2024

2023

Distributed Regression by Two Agents from Noisy Data.

Aneesh Raghavan, Karl Henrik Johansson

Proceedings of the European Control Conference, 2023

Motion Planning for The Estimation of Functions.

Aneesh Raghavan, Giacomo Sartori, Karl Henrik Johansson

Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

2021

Order effects of measurements in multi-agent hypothesis testing.

John S. Baras, Aneesh Raghavan

Commun. Inf. Syst., 2021

2020

Cooperative Hypothesis Testing by Two Observers with Asymmetric Information.

Aneesh Raghavan, John S. Baras

CoRR, 2020

2019

The Role of Information in Multi-Agent Decision Making.

Aneesh Raghavan

PhD thesis, 2019

Binary Hypothesis Testing by Two Collaborating Observers: A Fresh Look.

Aneesh Raghavan, John S. Baras

Proceedings of the 27th Mediterranean Conference on Control and Automation, 2019

2017

Collaborative sequential detection of Gaussian models from observed data and the value of information exchanged.

Aneesh Raghavan, John S. Baras

Proceedings of the 56th IEEE Annual Conference on Decision and Control, 2017

Stochastic differential linear-quadratic games with intermittent asymmetric observations.

Dipankar Maity, Aneesh Raghavan, John S. Baras

Proceedings of the 2017 American Control Conference, 2017

2016

Time varying control set design for UAV collision avoidance using reachable tubes.

Yuchen Zhou, Aneesh Raghavan, John S. Baras

Proceedings of the 55th IEEE Conference on Decision and Control, 2016