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Methodologies for predicting natural frequency variation of a suspension bridge

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Distributional Regression and Autoregression via Optimal Transport

Laya Ghodrati

We present a framework for performing regression when both covariate and response are probability distributions on a compact and convex subset of

\R^d

. Our regression model is based on the theory of optimal transport and links the conditional Fr'echet m ...

EPFL2023

Methodologies for predicting natural frequency variation of a suspension bridge

Graph Chatbot

Chattez avec Graph Search

Machine learning models for prediction of electrochemical properties in supercapacitor electrodes using MXene and graphene nanoplatelets

Bayes-optimal Learning of Deep Random Networks of Extensive-width

Distributional Regression and Autoregression via Optimal Transport

Distribution-on-distribution regression via optimal transport maps

Mechanistic modelling of solar disinfection (SODIS) kinetics of Escherichia coli, enhanced with H2O2 - part 1: The dark side of peroxide

Are green bonds priced lower than their conventional peers?

Application of ray methods to one-dimensional site response of inhomogeneous soil deposits

Linear regression analysis of regional mean speed of Athens city network using drone data: A multi-modal approach

Fast screening of covariates in population models empowered by machine learning

Physics-Inspired Structural Representations for Molecules and Materials

Application of ray methods to one-dimensional site response of inhomogeneous soil deposits

Fast screening of covariates in population models empowered by machine learning

Are green bonds priced lower than their conventional peers?

Bayes-optimal Learning of Deep Random Networks of Extensive-width

Mechanistic modelling of solar disinfection (SODIS) kinetics of Escherichia coli, enhanced with H2O2 - part 1: The dark side of peroxide

Physics-Inspired Structural Representations for Molecules and Materials

Distribution-on-distribution regression via optimal transport maps

Distributional Regression and Autoregression via Optimal Transport

Linear regression analysis of regional mean speed of Athens city network using drone data: A multi-modal approach

Machine learning models for prediction of electrochemical properties in supercapacitor electrodes using MXene and graphene nanoplatelets