Orlando Romero

20 papers A* 1C 3Journal 14Unranked 2
YearRankTypeTitle / Venue / Authors
2026 J jnl
Learning to Coordinate via Quantum Entanglement in Multi-Agent Reinforcement Learning.
CoRR
John Gardiner, Orlando Romero, Brendan Tivnan, Nicolò Dal Fabbro, George J. Pappas
2024 J jnl
Conformal Risk Minimization with Variance Reduction.
CoRR
Sima Noorani, Orlando Romero, Nicolò Dal Fabbro, Hamed Hassani, George J. Pappas
2024 — conf
From Convexity to Strong Convexity and Beyond: Bridging The Gap In Convergence Rates.
CDC
Orlando Romero, Mouhacine Benosman, George J. Pappas
2022 J jnl
Analysis of a generalised expectation-maximisation algorithm for Gaussian mixture models: a control systems perspective.
Int. J. Control
Sarthak Chatterjee, Orlando Romero, Sérgio Pequito
2022 — conf
ODE Discretization Schemes as Optimization Algorithms.
CDC
Orlando Romero, Mouhacine Benosman, George J. Pappas
2021 J jnl
Corrigendum for "Actuator Placement for Symmetric Structural Controllability With Heterogeneous Costs".
IEEE Control. Syst. Lett.
Orlando Romero, Sérgio Pequito
2021 J jnl
Time-varying continuous-time optimisation with pre-defined finite-time stability.
Int. J. Control
Orlando Romero, Mouhacine Benosman
2020 J jnl
A Dynamical Systems Approach for Convergence of the Bayesian EM Algorithm.
CoRR
Orlando Romero, Subhro Das, Pin-Yu Chen, Sérgio Pequito
2020 C conf
Continuous-Time Optimization of Time-Varying Cost Functions via Finite-Time Stability with Pre-Defined Convergence Time.
ACC
Orlando Romero, Mouhacine Benosman
2020 A* conf
Finite-Time Convergence in Continuous-Time Optimization.
ICML
Orlando Romero, Mouhacine Benosman
2020 C conf
Fractional-Order Model Predictive Control for Neurophysiological Cyber-Physical Systems: A Case Study using Transcranial Magnetic Stimulation.
ACC
Orlando Romero, Sarthak Chatterjee, Sérgio Pequito
2020 J jnl
Optimizing Deep Neural Networks via Discretization of Finite-Time Convergent Flows.
CoRR
Mouhacine Benosman, Orlando Romero, Anoop Cherian
2019 J jnl
A Separation Principle for Discrete-Time Fractional-Order Dynamical Systems and Its Implications to Closed-Loop Neurotechnology.
IEEE Control. Syst. Lett.
Sarthak Chatterjee, Orlando Romero, Sérgio Pequito
2019 J jnl
A Separation Principle for Discrete-Time Fractional-Order Dynamical Systems and its Implications to Closed-loop Neurotechnology.
CoRR
Sarthak Chatterjee, Orlando Romero, Sérgio Pequito
2019 J jnl
Analysis of Gradient-Based Expectation-Maximization-Like Algorithms via Integral Quadratic Constraints.
CoRR
Sarthak Chatterjee, Orlando Romero, Sérgio Pequito
2019 C conf
Convergence of the Expectation-Maximization Algorithm Through Discrete-Time Lyapunov Stability Theory.
ACC
Orlando Romero, Sarthak Chatterjee, Sérgio Pequito
2019 J jnl
Finite-Time Convergence of Continuous-Time Optimization Algorithms via Differential Inclusions.
CoRR
Orlando Romero, Mouhacine Benosman
2019 J jnl
Fractional-Order Model Predictive Control for Neurophysiological Cyber-Physical Systems: A Case Study using Transcranial Magnetic Stimulation.
CoRR
Orlando Romero, Sarthak Chatterjee, Sérgio Pequito
2018 J jnl
Actuator Placement for Symmetric Structural Controllability With Heterogeneous Costs.
IEEE Control. Syst. Lett.
Orlando Romero, Sérgio Pequito
2018 J jnl
Convergence of the Expectation-Maximization Algorithm Through Discrete-Time Lyapunov Stability Theory.
CoRR
Orlando Romero, Sarthak Chatterjee, Sérgio Pequito