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A Dynamical Systems Approach for Convergence of the Bayesian EM Algorithm
Out of the recent advances in systems and control (S&C)-based analysis o...
06/23/2020 ∙ by Orlando Romero, et al. ∙
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Equilibrium Propagation for Complete Directed Neural Networks
Artificial neural networks, one of the most successful approaches to sup...
06/15/2020 ∙ by Matilde Tristany Farinha, et al. ∙
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Analysis of Gradient-Based Expectation-Maximization-Like Algorithms via Integral Quadratic Constraints
The Expectation-Maximization (EM) algorithm is one of the most popular m...
03/03/2019 ∙ by Sarthak Chatterjee, et al. ∙
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Learning Latent Fractional dynamics with Unknown Unknowns
Despite significant effort in understanding complex systems (CS), we lac...
11/02/2018 ∙ by Gaurav Gupta, et al. ∙
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Convergence of the Expectation-Maximization Algorithm Through Discrete-Time Lyapunov Stability Theory
In this paper, we propose a dynamical systems perspective of the Expecta...
10/04/2018 ∙ by Orlando Romero, et al. ∙
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Approximate Submodular Functions and Performance Guarantees
We consider the problem of maximizing non-negative non-decreasing set fu...
06/17/2018 ∙ by Gaurav Gupta, et al. ∙
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Re-thinking EEG-based non-invasive brain interfaces: modeling and analysis
Brain interfaces are cyber-physical systems that aim to harvest informat...
03/27/2018 ∙ by Gaurav Gupta, et al. ∙
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Dealing with Unknown Unknowns: Identification and Selection of Minimal Sensing for Fractional Dynamics with Unknown Inputs
This paper focuses on analysis and design of time-varying complex networ...
03/10/2018 ∙ by Gaurav Gupta, et al. ∙
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On the Limited Communication Analysis and Design for Decentralized Estimation
This paper pertains to the analysis and design of decentralized estimati...
01/17/2018 ∙ by Andreea B. Alexandru, et al. ∙
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Structurally Observable Distributed Networks of Agents under Cost and Robustness Constraints
In many problems, agents cooperate locally so that a leader or fusion ce...
02/08/2017 ∙ by Stephen Kruzick, et al. ∙
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