Publications

Journal Articles

2026

  1. IFAC JSC
    Trajectory-level self-supervision for simulation driven estimators
    Braghadeesh Lakshminarayanan, and Cristian R. Rojas
    IFAC Journal of Systems and Control, 2026
  2. IEEE-SPL
    Finite Sample Analysis of a Data-Driven Estimator
    Braghadeesh Lakshminarayanan, and Cristian R. Rojas
    IEEE Signal Processing Letters, 2026

2025

  1. IEEE L-CSS
    Data-Driven Estimation of Structured Singular Values
    Margarita A. Guerrero, Braghadeesh Lakshminarayanan, and Cristian R. Rojas
    IEEE Control Systems Letters, 2025
  2. IEEE L-CSS
    Fine Tuning a Data-Driven Estimator
    Braghadeesh Lakshminarayanan, Margarita A. Guerrero, and Cristian R. Rojas
    IEEE Control Systems Letters, 2025
  3. IEEE L-CSS
    Gain-Scheduled Data-Enabled Predictive Control: A DeePC Approach for Nonlinear Systems
    Margarita A. Guerrero, Braghadeesh Lakshminarayanan, and Cristian R. Rojas
    IEEE Control Systems Letters, 2025

2024

  1. Automatica
    Inverse supervised learning of controller tuning rules
    Braghadeesh Lakshminarayanan, Federico Dettù, Cristian R. Rojas, and Simone Formentin
    Automatica, 2024

Conference Papers

2025

  1. IEEE CDC
    A Metropolis-Adjusted Langevin Algorithm for Sampling Jeffreys Prior
    Yibo Shi, Braghadeesh Lakshminarayanan, and Cristian R. Rojas
    In 2025 IEEE 64TH Conference on Decision and Control (CDC), 2025

2024

  1. ECC
    From Data to Control: A Two-Stage Simulation-Based Approach
    Federico Dettù, Braghadeesh Lakshminarayanan, Simone Formentin, and Cristian R. Rojas
    In Proceedings of the 2024 European Control Conference (ECC), 2024

2023

  1. IFAC WC
    A Unified Approach to Differentially Private Bayes Point Estimation
    Braghadeesh Lakshminarayanan, and Cristian R. Rojas
    In 2023 IFAC World Congress (IFAC WC), 2023
  2. IEEE CDC
    Minimax Two-Stage Gradient Boosting for Parameter Estimation
    Braghadeesh Lakshminarayanan, and Cristian R. Rojas
    In 2023 IEEE 62nd Conference on Decision and Control (CDC), 2023

2022

  1. IEEE CDC
    A Statistical Decision-Theoretical Perspective on the Two-Stage Approach to Parameter Estimation
    Braghadeesh Lakshminarayanan, and Cristian R. Rojas
    In 2022 IEEE 61st Conference on Decision and Control (CDC), 2022

2021

  1. NeurIPS
    Bandit Quickest Changepoint Detection
    Aditya Gopalan, Braghadeesh Lakshminarayanan, and Venkatesh Saligrama
    In Advances in Neural Information Processing Systems (NeurIPS), 2021

Preprints / Others

2024

  1. On Asymptotic Analysis of the Two-Stage Approach: Towards Data-Driven Parameter Estimation
    Braghadeesh Lakshminarayanan, and Cristian R. Rojas
    2024

Theses

2026

  1. PhD Thesis
    Simulation-Driven Parameter Estimation with a Focus on Control and Privacy
    Braghadeesh Lakshminarayanan
    KTH Royal Institute of Technology, May 2026

2020

  1. M.Tech Thesis
    Bandit Change Point Detection
    Braghadeesh Lakshminarayanan
    Indian Institute of Science, Bangalore, Jul 2020