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

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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

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

Graph Chatbot

Chattez avec Graph Search

Seebeck Coefficient of Ionic Conductors from Bayesian Regression Analysis

Random matrix methods for high-dimensional machine learning models

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

Intraday solar irradiance forecasting using public cameras

Distributional Regression and Autoregression via Optimal Transport

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

Comparing transferability in neural network approaches and linear models for machine-learning interaction potentials

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

Composite Relationship Fields with Transformers for Scene Graph Generation

Distribution-on-distribution regression via optimal transport maps

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

Random matrix methods for high-dimensional machine learning models

Intraday solar irradiance forecasting using public cameras

Seebeck Coefficient of Ionic Conductors from Bayesian Regression Analysis

Comparing transferability in neural network approaches and linear models for machine-learning interaction potentials

Distributional Regression and Autoregression via Optimal Transport

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

Composite Relationship Fields with Transformers for Scene Graph Generation

Distribution-on-distribution regression via optimal transport maps