3 papers
cs.LG2026
Exploring Transformer Placement in Variational Autoencoders for Tabular Data Generation
AnÃbal Silva, Moisés Santos, André Restivo +1
Tabular data remains a challenging domain for generative models. In particular, the standard Variational Autoencoder (VAE) architecture, typically composed of multilayer perceptron…
cs.SE2025
Container Orchestration Patterns for Optimizing Resource Use
Diogo Maia, Filipe Correia, André Restivo +1
Service-based architectures provide substantial benefits, yet service orchestration remains a challenge, particularly for newcomers. While various resources on orchestration techni…
cs.LG2024
Tabular data generation with tensor contraction layers and transformers
AnÃbal Silva, André Restivo, Moisés Santos +1
Generative modeling for tabular data has recently gained significant attention in the Deep Learning domain. Its objective is to estimate the underlying distribution of the data. Ho…