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20122026
most citedAn Overview of Deep Semi-Supervised Learning

244 citations

Showing 2018Show all

7 papers · 1 filter

math.AP2018

Models of nonlinear acoustics viewed as an approximation of the Navier-Stokes and Euler compressible isentropicsystems

Adrien Dekkers, Vladimir Khodygo, Anna Rozanova-Pierrat

The derivation of different models of non linear acoustic in thermo-ellastic media as the Kuznetsov equation, the Khokhlov-Zabolotskaya-Kuznetsov (KZK) equation and the Nonlinear P…

cs.SE2018

MetAcsl: Specification and Verification of High-Level Properties

Virgile Robles, Nikolai Kosmatov, Virgile Prevosto +2

Modular deductive verification is a powerful technique capable to show that each function in a program satisfies its contract. However, function contracts do not provide a global v…

cs.CV2018★ 3 cited

Learning Finer-class Networks for Universal Representations

Julien Girard, Youssef Tamaazousti, Hervé Le Borgne +1

Many real-world visual recognition use-cases can not directly benefit from state-of-the-art CNN-based approaches because of the lack of many annotated data. The usual approach to d…

math.OC2018★ 4 cited

On the Root solution to the Skorokhod embedding problem given full marginals

Alexandre Richard, Xiaolu Tan, Nizar Touzi

This paper examines the Root solution of the Skorohod embedding problem given full marginals on some compact time interval. Our results are obtained by limiting arguments based on…

q-fin.ST2018★ 10 cited

Analyzing order flows in limit order books with ratios of Cox-type intensities

Ioane Muni Toke, Nakahiro Yoshida

We introduce a Cox-type model for relative intensities of orders flows in a limit order book. The model assumes that all intensities share a common baseline intensity, which may fo…

math.PR2018

Sub-exponential convergence to equilibrium for Gaussian driven Stochastic Differential Equations with semi-contractive drift

Fabien Panloup, Alexandre Richard

The convergence to the stationary regime is studied for Stochastic Differential Equations driven by an additive Gaussian noise and evolving in a semi-contractive environment, i.e.…