Bayesian ODE solvers: the maximum a posteriori estimate
There is a growing interest in probabilistic numerical solutions to ordinary differential
equations. In this paper, the maximum a posteriori estimate is studied under the class of ν ν …
equations. In this paper, the maximum a posteriori estimate is studied under the class of ν ν …
SSGCNet: A sparse spectra graph convolutional network for epileptic EEG signal classification
J Wang, R Gao, H Zheng, H Zhu… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
In this article, we propose a sparse spectra graph convolutional network (SSGCNet) for
epileptic electroencephalogram (EEG) signal classification. The goal is to develop a …
epileptic electroencephalogram (EEG) signal classification. The goal is to develop a …
Parallel-in-Time Probabilistic Numerical ODE Solvers
Probabilistic numerical solvers for ordinary differential equations (ODEs) treat the numerical
simulation of dynamical systems as problems of Bayesian state estimation. Aside from …
simulation of dynamical systems as problems of Bayesian state estimation. Aside from …
Sparse graphical linear dynamical systems
E Chouzenoux, V Elvira - arXiv preprint arXiv:2307.03210, 2023 - arxiv.org
Time-series datasets are central in numerous fields of science and engineering, such as
biomedicine, Earth observation, and network analysis. Extensive research exists on state …
biomedicine, Earth observation, and network analysis. Extensive research exists on state …
Partial least median of squares regression
Z Xie, X Feng, L Li, X Chen - Journal of Chemometrics, 2022 - Wiley Online Library
In modern data analysis, there is an increasing availability of datasets with numerous
variables. Linear models that deal with abundant predictor variables often have poor …
variables. Linear models that deal with abundant predictor variables often have poor …
Empirically comparing magnetic needle steering models using expectation-maximization
RL Pratt, AJ Petruska - Robotics, 2022 - mdpi.com
Straight-line needle insertion is a prevalent tool in surgical interventions in the brain, such as
Deep Brain Stimulation and Convection-Enhanced Delivery, that treat a range of conditions …
Deep Brain Stimulation and Convection-Enhanced Delivery, that treat a range of conditions …
An improved smooth variable structure filter for robust target tracking
Y Chen, L Xu, G Wang, B Yan, J Sun - Remote Sensing, 2021 - mdpi.com
As a new-style filter, the smooth variable structure filter (SVSF) has attracted significant
interest. Based on the predictor-corrector method and sliding mode concept, the SVSF is …
interest. Based on the predictor-corrector method and sliding mode concept, the SVSF is …
Observed control of magnetic continuum devices
RL Pratt, BE Suesser, AJ Petruska - Robotics, 2023 - mdpi.com
This paper models an extensible catheter with an embedded magnet at its distal tip subject
to an external magnetic field. We implement a control method coined observed control to …
to an external magnetic field. We implement a control method coined observed control to …
Autonomous tracking and state estimation with generalized group lasso
We address the problem of autonomous tracking and state estimation for marine vessels,
autonomous vehicles, and other dynamic signals under a (structured) sparsity assumption …
autonomous vehicles, and other dynamic signals under a (structured) sparsity assumption …
Explainable Bayesian Recurrent Neural Smoother to Capture Global State Evolutionary Correlations
Through integrating the evolutionary correlations across global states in the bidirectional
recursion, an explainable Bayesian recurrent neural smoother (EBRNS) is proposed for …
recursion, an explainable Bayesian recurrent neural smoother (EBRNS) is proposed for …