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

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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

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

Graph Chatbot

Chattez avec Graph Search

Intraday solar irradiance forecasting using public cameras

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

Distributional Regression and Autoregression via Optimal Transport

TOPO-Loss for continuity-preserving crack detection using deep learning

Multivariate time series forecasting for freeway networks

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

Population pharmacokinetic model selection assisted by machine learning

Shrinking Bouma's window: How to model crowding in dense displays

Gaussian Process Regression for Materials and Molecules

Leveraging Spatial and Photometric Context for Calibrated Non-Lambertian Photometric Stereo

Intraday solar irradiance forecasting using public cameras

Distributional Regression and Autoregression via Optimal Transport

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

TOPO-Loss for continuity-preserving crack detection using deep learning

Population pharmacokinetic model selection assisted by machine learning

Multivariate time series forecasting for freeway networks

Shrinking Bouma's window: How to model crowding in dense displays

Leveraging Spatial and Photometric Context for Calibrated Non-Lambertian Photometric Stereo

Gaussian Process Regression for Materials and Molecules