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A new model for TBM performance prediction in blocky rock conditions

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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 new model for TBM performance prediction in blocky rock conditions

Graph Chatbot

Chattez avec Graph Search

Intraday solar irradiance forecasting using public cameras

Random matrix methods for high-dimensional machine learning models

On distributional autoregression and iterated transportation

Roles of Clinical Features and Chest CT in Predicting the Outcomes of Hospitalized Patients with COVID-19 Developing AKI

Distributional Regression and Autoregression via Optimal Transport

Acute TNF alpha levels predict cognitive impairment 6-9 months after COVID-19 infection

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

Reliable uncertainties: Error correlation, rotated error bars, and linear regressions in three-isotope plots and beyond

Regressive Tomography and Direct Regressive Reconstruction: A Research Note

Semi-Supervised Deep Learning Representations in Earth Observation Based Forest Management

Intraday solar irradiance forecasting using public cameras

On distributional autoregression and iterated transportation

Distributional Regression and Autoregression via Optimal Transport

Acute TNF alpha levels predict cognitive impairment 6-9 months after COVID-19 infection

Roles of Clinical Features and Chest CT in Predicting the Outcomes of Hospitalized Patients with COVID-19 Developing AKI

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

Regressive Tomography and Direct Regressive Reconstruction: A Research Note

Random matrix methods for high-dimensional machine learning models

Reliable uncertainties: Error correlation, rotated error bars, and linear regressions in three-isotope plots and beyond

Semi-Supervised Deep Learning Representations in Earth Observation Based Forest Management