Search Results for author: Sérgio Pequito

Found 6 papers, 2 papers with code

Minimum Structural Sensor Placement for Switched Linear Time-Invariant Systems and Unknown Inputs

no code implementations28 Jul 2021 Emily A. Reed, Guilherme Ramos, Paul Bogdan, Sérgio Pequito

First, we provide necessary and sufficient conditions for their structural state and input observability that can be efficiently verified in $O((m(n+p))^2)$, where $n$ is the number of state variables, $p$ is the number of unknown inputs, and $m$ is the number of modes.

A Dynamical Systems Approach for Convergence of the Bayesian EM Algorithm

no code implementations23 Jun 2020 Orlando Romero, Subhro Das, Pin-Yu Chen, Sérgio Pequito

Out of the recent advances in systems and control (S\&C)-based analysis of optimization algorithms, not enough work has been specifically dedicated to machine learning (ML) algorithms and its applications.

Equilibrium Propagation for Complete Directed Neural Networks

1 code implementation15 Jun 2020 Matilde Tristany Farinha, Sérgio Pequito, Pedro A. Santos, Mário A. T. Figueiredo

Artificial neural networks, one of the most successful approaches to supervised learning, were originally inspired by their biological counterparts.

Analysis of a Generalized Expectation-Maximization Algorithm for Gaussian Mixture Models: A Control Systems Perspective

no code implementations3 Mar 2019 Sarthak Chatterjee, Orlando Romero, Sérgio Pequito

The Expectation-Maximization (EM) algorithm is one of the most popular methods used to solve the problem of parametric distribution-based clustering in unsupervised learning.

Network Design for Controllability Metrics

1 code implementation12 Feb 2019 Cassiano O. Becker, Sérgio Pequito, George J. Pappas, Victor M. Preciado

In this setting, we first consider a feasibility problem consisting of tuning the edge weights such that certain controllability properties are satisfied.

Optimization and Control

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