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On integrability of Hirota-Kimura type discretizations
We give an overview of the integrability of the Hirota-Kimura discretizationmethod applied to algebraically completely integrable (a.c.i.) systems with quadratic vector fields. Along with theExpand
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POG: Personalized Outfit Generation for Fashion Recommendation at Alibaba iFashion
TLDR
We propose a Personalized Outfit Generation (POG) model, which connects user preferences regarding individual items and outfits with Transformer architecture. Expand
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On Integrability of Hirota–Kimura-Type Discretizations: Experimental Study of the Discrete Clebsch System
TLDR
We introduce an experimental method for a rigorous study of integrability of such discretizations. Expand
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La gare de Strasbourg
Selon la SNCF, l'arrivee TGV Est a la gare de Strasbourg conduira au triplement de sa frequentation. Cette prevision l'a conduite a envisager avec la communaute urbaine et la ville un programmeExpand
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5G Vehicle MIMO Antenna Capacity Based on a Rigorous Electromagnetic Channel Modeling
TLDR
In this work a novel 5G antenna is proposed, analyzed and investigated at the most critical frequency bands for V2I communication. Expand
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Bilinear Discretization of Integrable Quadratic Vector Fields: Algebraic Structure and Algebro-Geometric Solutions
This thesis discusses the integrability properties of a class of bilinear discretizations of integrable quadratic vector fields, the so called Hirota-Kimura type discretizations. This method tends toExpand
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Multi-antenna Configuration Modeling for Massive MIMO V2I
TLDR
In this paper, study of initial antenna configurations for both — mobile and fixed — platforms is performed and initial channel parameters and system capability are obtained. Expand
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Hybrid Massive MIMO for Urban V2I: Sub-6 GHz vs mmWave Performance Assessment
TLDR
The relevance of vehicle communications in next-generation networks entails the necessity of studying their performance in the framework of upcoming massive architectures. Expand
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On the Construction of Elliptic Solutions of Integrable Birational Maps
TLDR
We present a systematic technique to find explicit solutions of birational maps, provided that these solutions are given in terms of elliptic functions. Expand
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Learning Efficient Parameter Server Synchronization Policies for Distributed SGD
TLDR
We apply a reinforcement learning (RL) based approach to learning optimal synchronization policies used for Parameter Server-based distributed training of machine learning models with Stochastic Gradient Descent. Expand