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20062026
most citedPerceptual Adversarial Networks for Image-to-Image Transformation

396 citations

Showing 2019Show all

12 papers · 1 filter

cond-mat.soft2019

Optimal cement paste yield stress for the production of stable cement foams

Blandine Feneuil, Nicolas Roussel, Olivier Pitois

Production of morphology-controlled cement foams remains challenging, mainly due to bubble stability issues during cement setting. The use of cement paste with high yield stress is…

eess.IV2019★ 138 cited

Deep Tone Mapping Operator for High Dynamic Range Images

Aakanksha Rana, Praveer Singh, Giuseppe Valenzise +3

A computationally fast tone mapping operator (TMO) that can quickly adapt to a wide spectrum of high dynamic range (HDR) content is quintessential for visualization on varied low d…

physics.med-ph2019★ 9 cited

A modified Coulomb's law for the tangential debonding of osseointegrated implants

Katharina Immel, Thang X. Duong, Vu-Hieu Nguyen +2

Cementless implants are widely used in orthopedic and oral surgery. However, debonding-related failure still occurs at the bone-implant interface. It remains difficult to predict s…

math.NA2019★ 35 cited

An adaptive stabilized conforming finite element method via residual minimization on dual discontinuous Galerkin norms

Victor M. Calo, Alexandre Ern, Ignacio Muga +1

We design and analyze a new adaptive stabilized finite element method. We construct a discrete approximation of the solution in a continuous trial space by minimizing the residual…

cond-mat.soft2019★ 41 cited

Stability of Big Surface Bubbles: Impact of Evaporation and Bubbles Size

Jonas Miguet, Marina Pasquet, Florence Rouyer +2

Surface bubbles have attracted much interest in the past decades. In this article, we propose to explore the lifetime and thinning dynamics of centimetric surface bubbles. We study…

cond-mat.mtrl-sci2019★ 57 cited

Rejuvenation and Shear-Banding in model amorphous solids

Armand Barbot, Matthias Lerbinger, Anaël Lemaître +2

We measure the local yield stress, at the scale of small atomic regions, in a deeply quenched two-dimensional glass model undergoing shear banding in response to athermal quasistat…

physics.comp-ph2019★ 18 cited

Kinematics and constitutive relations in the stress-gradient theory: interpretation by homogenization

Geralf Hütter, Karam Sab, Samuel Forest

The stress-gradient theory has a third order tensor as kinematic degree of freedom, which is work-conjugate to the stress gradient. This tensor was called micro-displacements just…

cs.LG2019★ 21 cited

Variational Information Bottleneck for Unsupervised Clustering: Deep Gaussian Mixture Embedding

Yigit Ugur, George Arvanitakis, Abdellatif Zaidi

In this paper, we develop an unsupervised generative clustering framework that combines the Variational Information Bottleneck and the Gaussian Mixture Model. Specifically, in our…

math.NA2019★ 1 cited

Guaranteed and robust -norm a posteriori error estimates for 1D linear advection problems

Alexandre Ern, Martin Vohralík, Mohammad Zakerzadeh

We propose a reconstruction-based a posteriori error estimate for linear advection problems in one space dimension. In our framework, a stable variational ultra-weak formulation is…

cond-mat.dis-nn2019★ 30 cited

Effective resistance of random percolating networks of stick nanowires : functional dependence on elementary physical parameters

Robert Benda, Bérengère Lebental, Eric Cancès

We study by means of Monte-Carlo numerical simulations the resistance of two-dimensional random percolating networks of stick, widthless nanowires. We use the multi-nodal represent…

math.PR2019★ 30 cited

Gradient Gibbs measures for the SOS model with countable values on a Cayley tree

F. Henning, C. Kuelske, A. Le Ny +1

We consider an SOS (solid-on-solid) model, with spin values from the set of all integers, on a Cayley tree of order k and are interested in translation-invariant gradient Gibbs mea…

math.OC2019★ 1 cited

An approximate Itô-SDE based simulated annealing algorithm for multivariate design optimization problems

A. Batou

This research concerns design optimization problems involving numerous design parameters and large computational models. These problems generally consist in non-convex constrained…