Patents are valuable for the generation of novel ideas through technology opportunity discovery. In recent years, scientists have made several attempts to identify technology opportunities by ...

This year won’t just mark my first ever HYROX, but my first ever fitness competition and a trip waaaayy out of my comfort zone. Luckily for me (and my nerves) I’m entering the HYROX-sphere as part of ...

Which loss function did you use when training the autoencoder? Did you directly compute the MSE between the predicted SDF values and the ground truth? Additionally, how many steps did you train for?

This study aims to explore an autoencoder-based method for generating brain MRI images of patients with Autism Spectrum Disorder (ASD) and non-ASD individuals, and to discriminate ASD based on the ...

It seems you can't do automatic gradient clipping for autoencoder training, as we're using manual optimization in Lightning. Have seen this in the docs for adding it ...

Abstract: Hyperspectral Unmixing (HSU) refers to the procedure of decomposing measured pixel spectra into a set of constituent spectral signatures known as endmembers and a corresponding set of ...