Braghadeesh Lakshminarayanan

Orcid: 0009-0008-4893-0473

According to our database1, Braghadeesh Lakshminarayanan authored at least 14 papers between 2021 and 2026.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
Finite Sample Analysis of a Data-Driven Estimator.
IEEE Signal Process. Lett., 2026

Trajectory-level self-supervision for simulation driven estimators.
IFAC J. Syst. Control., 2026

2025
On Asymptotic Analysis of the Two-Stage Approach: Towards Data-Driven Parameter Estimation.
CoRR, August, 2025

Fine Tuning a Data-Driven Estimator.
CoRR, April, 2025

Fine-Tuning a Simulation-Driven Estimator.
IEEE Control. Syst. Lett., 2025

Gain-Scheduled Data-Enabled Predictive Control: A DeePC Approach for Nonlinear Systems.
IEEE Control. Syst. Lett., 2025

Data-Driven Estimation of Structured Singular Values.
IEEE Control. Syst. Lett., 2025

Inverse supervised learning of controller tuning rules.
Autom., 2025

A Metropolis-Adjusted Langevin Algorithm for Sampling Jeffreys Prior.
Proceedings of the 64th IEEE Conference on Decision and Control, 2025

2024
From Data to Control: A Two-Stage Simulation-Based Approach.
Proceedings of the European Control Conference, 2024

2023
Unraveling the Control Engineer's Craft with Neural Networks.
CoRR, 2023

Minimax Two-Stage Gradient Boosting for Parameter Estimation.
Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

2022
A Statistical Decision-Theoretical Perspective on the Two-Stage Approach to Parameter Estimation.
Proceedings of the 61st IEEE Conference on Decision and Control, 2022

2021
Bandit Quickest Changepoint Detection.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021


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