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On the stability and convergence of Feintuch's algorithm for adaptive IIR filtering

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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

On the stability and convergence of Feintuch's algorithm for adaptive IIR filtering

Graph Chatbot

Chattez avec Graph Search

Distributional Regression and Autoregression via Optimal Transport

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

A multichannel versatile brain activity classification and closed loop neuromodulation system, device and method using a highly multiplexed mixed-signal front-end

Distribution-on-distribution regression via optimal transport maps

Daily Contributors of Tinnitus Loudness and Distress: An Ecological Momentary Assessment Study

One Fuzz Doesn’t Fit All: Optimizing Directed Fuzzing via Target-tailored Program State Restriction

Gaussian Process Regression for Materials and Molecules

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

Sparsest piecewise-linear regression of one-dimensional data

Functional lagged regression with sparse noisy observations

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

A multichannel versatile brain activity classification and closed loop neuromodulation system, device and method using a highly multiplexed mixed-signal front-end

Distribution-on-distribution regression via optimal transport maps

Distributional Regression and Autoregression via Optimal Transport

One Fuzz Doesn’t Fit All: Optimizing Directed Fuzzing via Target-tailored Program State Restriction

Daily Contributors of Tinnitus Loudness and Distress: An Ecological Momentary Assessment Study

Gaussian Process Regression for Materials and Molecules

Sparsest piecewise-linear regression of one-dimensional data

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

Functional lagged regression with sparse noisy observations