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cs.LG2024
Tabular data generation with tensor contraction layers and transformers
Aníbal 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…
cs.LG2024
Finding Patterns in Ambiguity: Interpretable Stress Testing in the Decision~Boundary
Inês Gomes, Luís F. Teixeira, Jan N. van Rijn +4
The increasing use of deep learning across various domains highlights the importance of understanding the decision-making processes of these black-box models. Recent research focus…
cs.LG2024
Online Data Augmentation for Forecasting with Deep Learning
Vitor Cerqueira, Moisés Santos, Luis Roque +2
Deep learning approaches are increasingly used to tackle forecasting tasks involving datasets with multiple univariate time series. A key factor in the successful application of th…