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Found 4 papers, 1 papers with code
Implicit Neural Representation for Physics-driven Actuated Soft Bodies
Active soft bodies can affect their shape through an internal actuation mechanism that induces a deformation.
Scalable Learning-Based Sampling Optimization for Compressive Dynamic MRI
Compressed sensing applied to magnetic resonance imaging (MRI) allows to reduce the scanning time by enabling images to be reconstructed from highly undersampled data.
Learning-Based Compressive MRI
In the area of magnetic resonance imaging (MRI), an extensive range of non-linear reconstruction algorithms have been proposed that can be used with general Fourier subsampling patterns.
Learning-based Compressive Subsampling
In this paper, we instead take a principled learning-based approach in which a \emph{fixed} index set is chosen based on a set of training signals $\mathbf{x}_1,\dotsc,\mathbf{x}_m$.
