Concept

Multinomial logistic regression

Publications associées (373)

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Statistical learning algorithms are finding more and more applications in science and technology. Atomic-scale modeling is no exception, with machine learning becoming commonplace as a tool to predict energy, forces and properties of molecules and condense ...

SWISS CHEMICAL SOC2019

Machine Learning at the Atomic Scale

Michele Ceriotti, Félix Benedito Clément Musil

2019

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Michael Herzog, Aline Françoise Cretenoud

Recently, we found very weak correlations between the magnitudes of visual illusions. However, we found strong correlations between 19 variants of the Ebbinghaus illusion which differed in color, shape or texture, suggesting that different illusions make u ...

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Recurrent neural network closure of parametric POD-Galerkin reduced-order models based on the Mori-Zwanzig formalism

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Closure modeling based on the Mori-Zwanzig formalism has proven effective to improve the stability and accuracy of projection-based model order reduction. However, closure models are often expensive and infeasible for complex nonlinear systems. Towards eff ...

2019

Automated high-content phenotyping from the first larval stage till the onset of adulthood of the nematode Caenorhabditis elegans

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The nematode Caenorhabditis elegans is increasingly used as a model for human biology. However, in vivo culturing platforms for C. elegans allowing high-content phenotyping during their life cycle in an automated fashion are lacking so far. Here, a multipl ...

ROYAL SOC CHEMISTRY2019

Logit Pairing Methods Can Fool Gradient-Based Attacks

Maksym Andriushchenko

Recently, Kannan et al. [2018] proposed several logit regularization methods to improve the adversarial robustness of classifiers. We show that the computationally fast methods they propose - Clean Logit Pairing (CLP) and Logit Squeezing (LSQ) - just make ...

2019

Yearlong variability of oxidative potential of particulate matter in an urban Mediterranean environment

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The oxidative potential (OP) of fine and coarse fractions of ambient aerosols was studied in the urban environment of Athens, Greece. OP was quantified using a dithiothreitol (DTT) assay, applied to the water soluble fraction of aerosol that was extracted ...

2019

Artificial neural networks can be used for Ambrosia pollen emission parameterization in COSMO-ART

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The emission parameterization is a crucial part of numerical pollen dispersion models. This paper shows that Artificial Neural Networks (ANNs) can substantially improve the performance of the Ambrosia pollen emission in numerical pollen dispersion models s ...

PERGAMON-ELSEVIER SCIENCE LTD2019

On Certifying Non-Uniform Bounds against Adversarial Attacks

Volkan Cevher, Chen Liu

This work studies the robustness certification problem of neural network models, which aims to find certified adversary-free regions as large as possible around data points. In contrast to the existing approaches that seek regions bounded uniformly along a ...

2019

A morphological based PV generation and energy consumption predictive model for Singapore neighbourhood

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The Singapore government emphasises the importance of sustainable development of the country and set an ambitious target for the adoption of solar power in 2014. Though solar energy is the most promising renewable energy source for Singapore, there is insu ...

IOP Publishing Ltd2019

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