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Published in 2019 at "Chaos"
DOI: 10.1063/1.5120830
Abstract: For a large class of dynamical systems, the optimally time-dependent (OTD) modes, a set of deformable orthonormal tangent vectors that track directions of instabilities along any trajectory, are known to depend "pointwise" on the state…
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Keywords:
machine learning;
space;
learning tangent;
dynamical instabilities ... See more keywords
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Published in 2019 at "Physical review. E"
DOI: 10.1103/physreve.100.023306
Abstract: We introduce a scheme to perform Monte Carlo renormalization group with the coupling constants of the system Hamiltonian encoded in a tensor network. With this scheme we compute the tangent space to the manifold of…
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Keywords:
space manifold;
tensor;
tangent space;
manifold critical ... See more keywords
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2
Published in 2022 at "IEEE Transactions on Medical Imaging"
DOI: 10.1109/tmi.2022.3207774
Abstract: The spatial resolution and temporal frame-rate of dynamic magnetic resonance imaging (MRI) can be improved by reconstructing images from sparsely sampled ${k}$ -space data with mathematical modeling of the underlying spatiotemporal signals. These models include…
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Keywords:
dynamic mri;
linear tangent;
space;
space alignment ... See more keywords
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Published in 2021 at "International Journal of Geometric Methods in Modern Physics"
DOI: 10.1142/s0219887821400089
Abstract: This paper looks at how changes of coordinates on a pseudo-Riemannian manifold induce homogeneous linear transformations on its tangent spaces. We see that a pseudo-orthonormal frame in a given tangent space is the basis for…
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Keywords:
linear transformations;
space symmetries;
tangent space;
basis ... See more keywords
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Published in 2022 at "Frontiers in Human Neuroscience"
DOI: 10.3389/fnhum.2022.1049985
Abstract: Statistical variability of electroencephalography (EEG) between subjects and between sessions is a common problem faced in the field of Brain-Computer Interface (BCI). Such variability prevents the usage of pre-trained machine learning models and requires the…
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Keywords:
computer interface;
transfer;
brain computer;
transfer learning ... See more keywords