Adaptive Assistance for Brain-Computer Interfaces by Online Prediction of Command Reliability

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The p-Laplacian problem -del & sdot; ((mu + |del u|(p-2))del u) = f is considered, where mu is a given positive number. An anisotropic a posteriori residual-based error estimator is presented. The error estimator is shown to be equivalent, up to higher ord ...

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An a posteriori error estimator based on an equilibrated flux reconstruction is proposed for defeaturing problems in the context of finite element discretizations. Defeaturing consists in the simplification of a geometry by removing features that are consi ...

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Inspired by Sibson’s alpha-mutual information, we introduce a new parametric class of universal predictors. This class interpolates two well-known predictors, the mixture estimator, that includes the Laplace and the Krichevsky-Trofimov predictors, and the ...

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The problem of covariance estimation for replicated surface-valued processes is examined from the functional data analysis perspective. Considerations of statistical and computational efficiency often compel the use of separability of the covariance, even ...

Adaptive Assistance for Brain-Computer Interfaces by Online Prediction of Command Reliability

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Anisotropic Adaptive Finite Elements for a p-Laplacian Problem

Stability: a search for structure

Statistical Inference for Inverse Problems: From Sparsity-Based Methods to Neural Networks

Generalized Bradley-Terry Models for Score Estimation from Paired Comparisons

Seebeck Coefficient of Ionic Conductors from Bayesian Regression Analysis

Spectral Estimators for High-Dimensional Matrix Inference

Customizing the human-avatar mapping based on EEG error related potentials during avatar-based interaction

33.3 MiBMI: A 192/512-Channel 2.46mm² Miniaturized Brain-Machine Interface Chipset Enabling 31-Class Brain-to-Text Conversion Through Distinctive Neural Codes

Regularization for distributionally robust state estimation and prediction

An equilibrated flux a posteriori error estimator for defeaturing problems

Towards a multiscale point cloud structural similarity metric

How I became myself after merging with a computer: Does human-machine symbiosis raise human rights issues?

Haptics based collaborative steering control in automated driving environments

Combination of Neurotechnologies Towards Personalized Neurorehabilitation for Stroke Patients

ReLU Neural Network Galerkin BEM

A Statistical Framework to Investigate the Optimality of Signal-Reconstruction Methods

Alpha-NML Universal Predictors

Quantifying uncertain system outputs via the multi-level Monte Carlo method --- distribution and robustness measures

Asymptotic Errors for Teacher-Student Convex Generalized Linear Models (Or: How to Prove Kabashima’s Replica Formula)

Random Surface Covariance Estimation by Shifted Partial Tracing