Publications related to Errors-in-variables models

Observed coupling between air mass history, secondary growth of nucleation mode particles and aerosol pollution levels in Beijing

Lubna Dada, Yu Fu, François Bianchi, Jingjing Jiang

Atmospheric aerosols have significant effects on the climate and on human health. New particle formation (NPF) is globally an important source of aerosols but its relevance especially towards aerosol mass loadings in highly polluted regions is still contro ...

2022

Hiding in Plain Sight: The Issue of Hidden Variables

Yimon Aye, Mahdi Assari

Here we discuss "hidden variables", which are typically introduced during an experiment as a consequence of the application of two independent variables together to create a stimulus. With increased sophistication in modern chemical biology tools and relat ...

AMER CHEMICAL SOC2022

Causal modelling of heavy-tailed variables and confounders with application to river flow

Anthony Christopher Davison, Valérie Chavez

Confounding variables are a recurrent challenge for causal discovery and inference. In many situations, complex causal mechanisms only manifest themselves in extreme events, or take simpler forms in the extremes. Stimulated by data on extreme river flows a ...

SPRINGER2022

Analysing the effects of residential mobility behaviours on the composition of personal network in Switzerland

Vincent Kaufmann, Guillaume Simon Joseph Drevon, Gil Viry

Individual life courses are marked by residential mobility often associated with family and workplace changes and therefore likely to be related to the types of personal relationships people develop and maintain. Evidence about the relationship between res ...

2021

Socioeconomically Disadvantaged Neighborhoods Face Increased Persistence of SARS-CoV-2 Clusters

Stéphane Joost, Idris Guessous, David Nicolas De Ridder

Objective: To investigate the association between socioeconomic deprivation and the persistence of SARS-CoV-2 clusters. Methods: We analyzed 3,355 SARS-CoV-2 positive test results in the state of Geneva (Switzerland) from February 26 to April 30, 2020. We ...

FRONTIERS MEDIA SA2021

Multi-ion-sensing emulator and multivariate calibration optimization by machine learning models

Giovanni De Micheli, Sandro Carrara, Mandresy Ivan Ny Hanitra, Francesca Criscuolo

One paramount challenge in multi-ion-sensing arises from ion interference that degrades the accuracy of sensor calibration. Machine learning models are here proposed to optimize such multivariate calibration. However, the acquisition of big experimental da ...

2021

Impact of quantum-chemical metrics on the machine learning prediction of electron density

Ksenia Briling, Alberto Fabrizio

Machine learning (ML) algorithms have undergone an explosive development impacting every aspect of computational chemistry. To obtain reliable predictions, one needs to maintain a proper balance between the black-box nature of ML frameworks and the physics ...

AMER INST PHYSICS2021

A Continuized View on Nesterov Acceleration

Nicolas Henri Bernard Flammarion, Raphaël Jean Berthier

We introduce the "continuized" Nesterov acceleration, a close variant of Nesterov acceleration whose variables are indexed by a continuous time parameter. The two variables continuously mix following a linear ordinary differential equation and take gradien ...

2021

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Errors-in-variables models

Observed coupling between air mass history, secondary growth of nucleation mode particles and aerosol pollution levels in Beijing

Hiding in Plain Sight: The Issue of Hidden Variables

Audio-Visual Object Classification For Human-Robot Collaboration

Causal modelling of heavy-tailed variables and confounders with application to river flow

Analysing the effects of residential mobility behaviours on the composition of personal network in Switzerland

Socioeconomically Disadvantaged Neighborhoods Face Increased Persistence of SARS-CoV-2 Clusters

Multi-ion-sensing emulator and multivariate calibration optimization by machine learning models

Impact of quantum-chemical metrics on the machine learning prediction of electron density

A Continuized View on Nesterov Acceleration

Two mixed finite element formulations for the weak imposition of the Neumann boundary conditions for the Darcy flow

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Chat with Graph Search

Hiding in Plain Sight: The Issue of Hidden Variables

Analysing the effects of residential mobility behaviours on the composition of personal network in Switzerland

Socioeconomically Disadvantaged Neighborhoods Face Increased Persistence of SARS-CoV-2 Clusters

Audio-Visual Object Classification For Human-Robot Collaboration

Causal modelling of heavy-tailed variables and confounders with application to river flow

A Continuized View on Nesterov Acceleration

Impact of quantum-chemical metrics on the machine learning prediction of electron density

Observed coupling between air mass history, secondary growth of nucleation mode particles and aerosol pollution levels in Beijing

Multi-ion-sensing emulator and multivariate calibration optimization by machine learning models

Two mixed finite element formulations for the weak imposition of the Neumann boundary conditions for the Darcy flow