Publication

Gaussian Process Regression for Materials and Molecules

Publications associées (49)

Graph Chatbot

Chattez avec Graph Search

Posez n’importe quelle question sur les cours, conférences, exercices, recherches, actualités, etc. de l’EPFL ou essayez les exemples de questions ci-dessous.

AVERTISSEMENT : Le chatbot Graph n'est pas programmé pour fournir des réponses explicites ou catégoriques à vos questions. Il transforme plutôt vos questions en demandes API qui sont distribuées aux différents services informatiques officiellement administrés par l'EPFL. Son but est uniquement de collecter et de recommander des références pertinentes à des contenus que vous pouvez explorer pour vous aider à répondre à vos questions.

Connectez-vous pour utiliser Chat avec Graph Search

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

Gaussian Process Regression for Materials and Molecules

Graph Chatbot

Chattez avec Graph Search

Distributional Regression and Autoregression via Optimal Transport

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

Appropriations and Uses of Travel Time

Roadmap on Machine learning in electronic structure

Distribution-on-distribution regression via optimal transport maps

Minimax rate for optimal transport regression between distributions

Physics-Inspired Structural Representations for Molecules and Materials

Deep Learning with Convolutional Neural Network for Proportional Control of Finger Movements from surface EMG Recordings

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

The Birth of a New Field: Memristive Sensors. A Review

Distributional Regression and Autoregression via Optimal Transport

Appropriations and Uses of Travel Time

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

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

Minimax rate for optimal transport regression between distributions

Physics-Inspired Structural Representations for Molecules and Materials

Distribution-on-distribution regression via optimal transport maps

The Birth of a New Field: Memristive Sensors. A Review

Roadmap on Machine learning in electronic structure

Deep Learning with Convolutional Neural Network for Proportional Control of Finger Movements from surface EMG Recordings