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Gaussian Process Regression for Materials and Molecules

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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

Gaussian Process Regression for Materials and Molecules

Graph Chatbot

Chat with 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

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

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

Appropriations and Uses of Travel Time

Distribution-on-distribution regression via optimal transport maps

Roadmap on Machine learning in electronic structure

Minimax rate for optimal transport regression between distributions

Physics-Inspired Structural Representations for Molecules and Materials

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