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Predictive models for assessing the passive solar and daylight potential of neighborhood designs: A comparative proof-of-concept study

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Publications associées à Predictive models for assessing the passive solar and daylight potential of neighborhood designs: A comparative proof-of-concept study | EPFL 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

Predictive models for assessing the passive solar and daylight potential of neighborhood designs: A comparative proof-of-concept study

Graph Chatbot

Chattez avec Graph Search

Transparent structured conductive coating for applications in smart windows.

Distributional Regression and Autoregression via Optimal Transport

Adequacy of stationary measurements as proxies for residential personal exposure to gaseous and particle air pollutants

Distribution-on-distribution regression via optimal transport maps

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

Travel Time Prediction for Congested Freeways With a Dynamic Linear Model

Impact of quantum-chemical metrics on the machine learning prediction of electron density

Analysing the effects of residential mobility behaviours on the composition of personal network in Switzerland

Socioeconomically Disadvantaged Neighborhoods Face Increased Persistence of SARS-CoV-2 Clusters

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Transparent structured conductive coating for applications in smart windows.

Distribution-on-distribution regression via optimal transport maps

Distributional Regression and Autoregression via Optimal Transport

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

Adequacy of stationary measurements as proxies for residential personal exposure to gaseous and particle air pollutants

Travel Time Prediction for Congested Freeways With a Dynamic Linear Model

Analysing the effects of residential mobility behaviours on the composition of personal network in Switzerland

A memory of motion for visual predictive control tasks

Impact of quantum-chemical metrics on the machine learning prediction of electron density

Socioeconomically Disadvantaged Neighborhoods Face Increased Persistence of SARS-CoV-2 Clusters