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10/06/2020
Optimizing Deep Neural Networks via Discretization of Finite-Time Convergent Flows
In this paper, we investigate in the context of deep neural networks, th...
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06/23/2020
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...
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12/18/2019
Finite-Time Convergence of Continuous-Time Optimization Algorithms via Differential Inclusions
In this paper, we propose two discontinuous dynamical systems in continu...
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03/03/2019
Analysis of Gradient-Based Expectation-Maximization-Like Algorithms via Integral Quadratic Constraints
The Expectation-Maximization (EM) algorithm is one of the most popular m...
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10/04/2018