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Hydraulic-hydrologic model for the Zambezi River using satellite data and artificial intelligence techniques

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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

Hydraulic-hydrologic model for the Zambezi River using satellite data and artificial intelligence techniques

Graph Chatbot

Chat with 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

Comparison of Three Imputation Methods for Groundwater Level Timeseries

Using Machine Learning to Predict Mortality for COVID-19 Patients on Day 0 in the ICU

Fast screening of covariates in population models empowered by machine learning

Multi-ion-sensing emulator and multivariate calibration optimization by machine learning models

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

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

Using Machine Learning to Predict Mortality for COVID-19 Patients on Day 0 in the ICU

Fast screening of covariates in population models empowered by machine learning

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

Distributional Regression and Autoregression via Optimal Transport

Comparison of Three Imputation Methods for Groundwater Level Timeseries

Travel Time Prediction for Congested Freeways With a Dynamic Linear Model

Multi-ion-sensing emulator and multivariate calibration optimization by machine learning models

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

Functional lagged regression with sparse noisy observations