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Sensorless Position Detection Framework for a Multi-state Switched Reluctance Actuator of a Textile Machine

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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

Sensorless Position Detection Framework for a Multi-state Switched Reluctance Actuator of a Textile Machine

Graph Chatbot

Chattez avec Graph Search

Distributional Regression and Autoregression via Optimal Transport

Minimax rate for optimal transport regression between distributions

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

Model Based Navigation of Delta-Wing UAV - In-Flight Calibration and Autonomous Performance

A Global-Local Approach For Detecting Hotspots In Multiple-Response Regression

Force Characterization Of Meso-Scale Haptic Devices

General Sensorless Method with Parameter Identification and Double Kalman Filter Applied to a Bistable Fast Linear Switched Reluctance Actuator for Textile Machine

Methodology And Convergence Rates For Functional Time Series Regression

Learning without Smoothness and Strong Convexity

Distribution-on-distribution regression via optimal transport maps

Distributional Regression and Autoregression via Optimal Transport

A Global-Local Approach For Detecting Hotspots In Multiple-Response Regression

Minimax rate for optimal transport regression between distributions

Model Based Navigation of Delta-Wing UAV - In-Flight Calibration and Autonomous Performance

Force Characterization Of Meso-Scale Haptic Devices

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

General Sensorless Method with Parameter Identification and Double Kalman Filter Applied to a Bistable Fast Linear Switched Reluctance Actuator for Textile Machine

Methodology And Convergence Rates For Functional Time Series Regression

Learning without Smoothness and Strong Convexity