This repository contains code for the Lipschitz constant estimation semidefinite programming framework introduced in LipSDP by Mahyar Fazlyab, Alexander Robey, Hamed Hassani, Manfred Morari, and ...
This repository contains code for the Lipschitz constant estimation semidefinite programming framework introduced in LipSDP by Mahyar Fazlyab, Alexander Robey, Hamed Hassani, Manfred Morari, and ...
Abstract: An adaptive neural stochastic contraction metric with Lipschitz constant optimization (aNSCM-Lip) is proposed for It stochastic systems with unmatched parameter uncertainties. The adaptive ...
We initiate the study of the inherent tradeoffs between the size of a neural network and its robustness, as measured by its Lipschitz constant. We make a precise conjecture that, for any Lipschitz ...
Constrained nonlinear optimization problems are well known as very difficult problems. In this paper, we present a new algorithm for solving such problems. Our proposed algorithm combines the ...
Abstract: The paper considers the issue of effective formation of a representative sample to train a neural network of a multilayer perceptron (MLP). As it is known, the key problem of MLP training is ...
1 Departamento de Matemática y Fsica, Universidad Nacional Experimental del Táchira, San Cristóbal, Venezuela. 2 Departamento de Matemática, Universidad Central de Venezuela, Caracas, Venezuela. This ...
A line drawing of the Internet Archive headquarters building façade. An illustration of a magnifying glass. An illustration of a magnifying glass.
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