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Estimating the non-linear dynamics of free-flying objects

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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

Estimating the non-linear dynamics of free-flying objects

Graph Chatbot

Chattez avec Graph Search

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

Quantifying the Unknown: Data-Driven Approaches and Applications in Energy Systems

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

Travel Time Prediction for Congested Freeways With a Dynamic Linear Model

Real-Time Multi-Ion-Monitoring Front-End With Interference Compensation by Multi-Output Support Vector Regressor

Functional lagged regression with sparse noisy observations

Learning (from) the Electron Density: Transferability, Conformational and Chemical Diversity

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

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

Quantifying the Unknown: Data-Driven Approaches and Applications in Energy Systems

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

Distributional Regression and Autoregression via Optimal Transport

Distribution-on-distribution regression via optimal transport maps

Travel Time Prediction for Congested Freeways With a Dynamic Linear Model

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

Real-Time Multi-Ion-Monitoring Front-End With Interference Compensation by Multi-Output Support Vector Regressor

Functional lagged regression with sparse noisy observations

Learning (from) the Electron Density: Transferability, Conformational and Chemical Diversity