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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…
cs.LG2024
Finding Patterns in Ambiguity: Interpretable Stress Testing in the Decision~Boundary
Inês Gomes, LuÃs 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…