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A Hybrid Model-Free Data-Interpretation Approach For Damage Detection During Continuous Civil-Infrastructure Monitoring

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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

A Hybrid Model-Free Data-Interpretation Approach For Damage Detection During Continuous Civil-Infrastructure Monitoring

Graph Chatbot

Chattez avec Graph Search

Distributional Regression and Autoregression via Optimal Transport

Distribution-on-distribution regression via optimal transport maps

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

Neural controlled differential equations for crop classification

The association of basic and challenging motor capacity with mobility performance and falls in young seniors

Online Robust Regression via SGD on the l1 loss

Bayesian modeling of brain function and behavior

Bayesian regression explains how human participants handle parameter uncertainty

Privacy-preserving semi-parallel logistic regression training with fully homomorphic encryption

Correlating Twitter Language with Community-Level Health Outcomes

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

The association of basic and challenging motor capacity with mobility performance and falls in young seniors

Neural controlled differential equations for crop classification

Correlating Twitter Language with Community-Level Health Outcomes

Bayesian modeling of brain function and behavior

Privacy-preserving semi-parallel logistic regression training with fully homomorphic encryption

Online Robust Regression via SGD on the l1 loss

Bayesian regression explains how human participants handle parameter uncertainty