Nikita Gabdullin

Latent space configuration for improved generalization in supervised autoencoder neural networks

2024 · arXiv (Cornell University)

Autoencoders (AE) are simple yet powerful class of neural networks that compress data by projecting input into low-dimensional latent space (LS). Whereas LS is formed according to the loss function minimization during training, its properties …