CNN_AE_helper.py Provides training‐and‐validation loops, checkpoint saving, and optional noise injection or gradient clipping for 3D autoencoders. Functions like train_one_epoch, validate, and ...

Diffusion model implementation in pytorch trained on the latent space of an autoencoder. I built this as a personal project to answer a question: what is the smallest model that can still generate ...

A variational autoencoder (VAE) is a deep neural system that can be used to generate synthetic data. VAEs share some architectural similarities with regular neural autoencoders (AEs) but an AE is not ...

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 ...

Huzhou Key Laboratory of Intelligent Sensing and Optimal Control for Industrial Systems, School of Engineering, Huzhou University, Huzhou 313000, PR China Zhejiang Key Laboratory of Industrial Solid ...