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 manuscript presents the library AI4HPC with its architecture and components. The library enables large-scale trainings of AI models on High-Performance Computing systems. It addresses challenges ...

Aerobic exercise is hugely beneficial for health. But research increasingly shows you also need some resistance training. Here’s how to work it in. By Cindy Kuzma Anh Bui’s main focus as a physical ...

Background: Distal radius fractures are a common type of fracture. For patients treated with closed reduction with splinting, a period of rehabilitation is still required after the removal of the ...

Add a description, image, and links to the autoencoder-training topic page so that developers can more easily learn about it.

Abstract: The practical realization of end-to-end training of communication systems is fundamentally limited by its accessibility of the channel gradient. To overcome this major burden, the idea of ...