55 citations · 152 across the 23 of their papers we have counts for
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cs.LG2019★ 18 cited
Benchmarking Regression Methods: A comparison with CGAN
Karan Aggarwal, Matthieu Kirchmeyer, Pranjul Yadav +2
In recent years, impressive progress has been made in the design of implicit probabilistic models via Generative Adversarial Networks (GAN) and its extension, the Conditional GAN (…
cs.DB2019★ 23 cited
An Empirical Analysis of Deep Learning for Cardinality Estimation
Jennifer Ortiz, Magdalena Balazinska, Johannes Gehrke +1
We implement and evaluate deep learning for cardinality estimation by studying the accuracy, space and time trade-offs across several architectures. We find that simple deep learni…