Researchers from Kyushu University have developed an innovative computational method, called ddHodge, that can reconstruct ...

Interactive image editing and synthetic image analysis in the gradient domain, including Poisson reconstruction, custom gradient drawing, and edge-based anomaly visualization.

Neural networks are designed to learn compressed representations of high-dimensional data, and autoencoders (AEs) are a widely-used example of such models. These systems employ an encoder-decoder ...

The spatial positioning of magnetic resonance imaging (MRI) images is determined by generating a linearly varying gradient magnetic field through a gradient coil, which plays a pivotal role in the ...

The Jets have made it official, announcing the signing of QB Justin Fields. Fields, 26, tested free agency Monday and quickly reached an agreement on a new deal with the Green & White. Last season in ...

Hypernetworks have gained attention for their ability to efficiently adapt large models or train generative models of neural representations. Despite their effectiveness, training hyper networks are ...

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Physics Department, Natural and Exact Science Faculty, National Northeastern University of Argentina, Avda Libertad 5460, W3404AAS Corrientes, Argentina Institute for Modelling and Innovative ...