Titlebook: Machine Learning, Optimization, and Data Science; 6th International Co Giuseppe Nicosia,Varun Ojha,Renato Umeton Conference proceedings 202

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Lottery Ticket Hypothesis: Placing the k-orrect Bets,he original network. We test our claims on MNIST, CIFAR10, and CIFAR100 with small architectures such as lenet-300-100, Conv-2,4,6, and more extensive networks such as Resnet-20. We then discuss why pruning at initialization does not result in considerable benefits compared to pruning at ..

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Parameterized Structured Pruning for Deep Neural Networks,istinction between important and unimportant structures. As a result, PSP maintains prediction performance, creates a substantial amount of sparsity that is structured and, thus, easy and efficient to map to a variety of massively parallel processors, which are mandatory for utmost compute power and energy efficiency.

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Learning Controllers for Adaptive Spreading of Carbon Fiber Tows,d on real data and a process control model to choose adequate spreading bar positions is able to improve the tape quality variations. Our results indicate promising tendencies for adaptive tow spreading.

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High-Dimensional Constrained Discrete Multi-objective Optimization Using Surrogates,udget of only 15 times the number of decision variables. The proposed algorithm substantially outperforms an NSGA-II implementation for discrete variables and yields a remarkable improvement over an initial feasible design on the Mazda benchmark given the limited computational budget.

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Vladimir Soloviev,Nikita Titov,Elena Smirnovaduate students and researchers who work on limit theorems in probability theory, the statistical analysis of random fields, as well as in the field of random sets or stochastic geometry. The central topic is al978-3-662-51150-3978-3-662-44388-0Series ISSN 2199-3130 Series E-ISSN 2199-3149

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abduction

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