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most citedLearning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translation

3.5k citations

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17 papers · 1 filter

nlin.PS2023★ 31 cited

Skin modes in a nonlinear Hatano-Nelson model

Bertin Many Manda, Ricardo Carretero-González, Panayotis G. Kevrekidis +1

Non-Hermitian lattices with non-reciprocal couplings under open boundary conditions are known to possess linear modes exponentially localized on one edge of the chain. This phenome…

quant-ph2023★ 21 cited

Emergent non-Hermitian models

Lumen Eek, Anouar Moustaj, Malte Röntgen +3

The Hatano-Nelson and the non-Hermitian Su-Schrieffer-Heeger model are paradigmatic examples of non-Hermitian systems that host non-trivial boundary phenomena. In this work, we use…

q-fin.PR2023★ 1 cited

Actuarial Implications and Modeling of Yellow Virus on Sugar Beet After the EU's Ban on Neonicotinoids and Climate Change

Martial Phélippé-Guinvarc, Jean Cordier

Following the EU's decision to ban neonicotinoids, this article investigates the impacts of yellow virus on sugar beet yields under the ban and under current and future climates. U…

math.ST2023

Testing for the extent of instability in nearly unstable processes

Marie Badreau, Frédéric Proïa

This paper deals with unit root issues in time series analysis. It has been known for a long time that unit root tests may be flawed when a series although stationary has a root cl…

cond-mat.soft2023★ 10 cited

Viscoelastic dynamics of a soft strip subject to a large deformation

Alexandre Delory, Daniel A. Kiefer, Maxime Lanoy +3

To produce sounds, we adjust the tension of our vocal folds to shape their properties and control the pitch. This efficient mechanism offers inspiration for designing reconfigurabl…

cond-mat.str-el2023★ 4 cited

The Fractal-Lattice Hubbard Model

Monica Conte, Vinicius Zampronio, Malte Röntgen +1

Here, we investigate the fractal-lattice Hubbard model using various numerical methods: exact diagonalization, the self-consistent diagonalization of a (mean-field) Hartree-Fock Ha…