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Distributional Regression and Autoregression via Optimal Transport

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Convergence analysis of Padé approximations for Helmholtz frequency response problems

Fabio Nobile, Francesca Bonizzoni

The present work concerns the approximation of the solution map

S

associated to the parametric Helmholtz boundary value problem, i.e., the map which associates to each (real) wavenumber belonging to a given interval of interest the corresponding solution ...

2018

Distributional Regression and Autoregression via Optimal Transport

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Convergence analysis of Padé approximations for Helmholtz frequency response problems

Sensorless Position Detection Framework for a Multi-state Switched Reluctance Actuator of a Textile Machine

Public smoking ban and socioeconomic inequalities in smoking prevalence and cessation: a cross-sectional population-based study in Geneva, Switzerland (1995–2014)

Smoothing technique for nonsmooth composite minimization with linear operator

Venues in Social Media: Examining Ambiance Perception Through Scene Semantics

Predictive models for assessing the passive solar and daylight potential of neighborhood designs: A comparative proof-of-concept study

On the sensitivity of buildings to climate

Structured Dimensionality Reduction for Additive Model Regression

Modeling, Regression and Optimization

Predicting Individual Scores From Resting State fMRI Using Partial Least Squares Regression

Sensorless Position Detection Framework for a Multi-state Switched Reluctance Actuator of a Textile Machine

Public smoking ban and socioeconomic inequalities in smoking prevalence and cessation: a cross-sectional population-based study in Geneva, Switzerland (1995–2014)

On the sensitivity of buildings to climate

Modeling, Regression and Optimization

Convergence analysis of Padé approximations for Helmholtz frequency response problems

Smoothing technique for nonsmooth composite minimization with linear operator

Venues in Social Media: Examining Ambiance Perception Through Scene Semantics

Predictive models for assessing the passive solar and daylight potential of neighborhood designs: A comparative proof-of-concept study

Structured Dimensionality Reduction for Additive Model Regression

Predicting Individual Scores From Resting State fMRI Using Partial Least Squares Regression