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Privacy-preserving semi-parallel logistic regression training with fully homomorphic encryption

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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

Privacy-preserving semi-parallel logistic regression training with fully homomorphic encryption

Graph Chatbot

Chattez avec Graph Search

Distributional Regression and Autoregression via Optimal Transport

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

Distribution-on-distribution regression via optimal transport maps

Mechanistic modelling of solar disinfection (SODIS) kinetics of Escherichia coli, enhanced with H2O2 - part 1: The dark side of peroxide

Physics-Inspired Structural Representations for Molecules and Materials

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

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

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

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

Distributional Regression and Autoregression via Optimal Transport

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

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

Distribution-on-distribution regression via optimal transport maps

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

Mechanistic modelling of solar disinfection (SODIS) kinetics of Escherichia coli, enhanced with H2O2 - part 1: The dark side of peroxide

Physics-Inspired Structural Representations for Molecules and Materials

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

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

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