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Model-Free Methodologies for Data-Interpretation during Continuous Monitoring of Structures

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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

Model-Free Methodologies for Data-Interpretation during Continuous Monitoring of Structures

Graph Chatbot

Chattez avec Graph Search

Sensing the structural behavior: A perspective on the usefulness of monitoring information for bridge examination

Selection of informative monitoring techniques for bridge-performance evaluations

Distributional Regression and Autoregression via Optimal Transport

Distribution-on-distribution regression via optimal transport maps

Physics-Inspired Structural Representations for Molecules and Materials

Neural controlled differential equations for crop classification

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

Gaussian Process Regression for Materials and Molecules

Structure-property maps with Kernel principal covariates regression

Design and Control of Minimum Energy Adaptive Structures

Selection of informative monitoring techniques for bridge-performance evaluations

Distributional Regression and Autoregression via Optimal Transport

Distribution-on-distribution regression via optimal transport maps

Sensing the structural behavior: A perspective on the usefulness of monitoring information for bridge examination

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

Design and Control of Minimum Energy Adaptive Structures

Physics-Inspired Structural Representations for Molecules and Materials

Neural controlled differential equations for crop classification

Gaussian Process Regression for Materials and Molecules

Structure-property maps with Kernel principal covariates regression