SOTAVerified

Synthetic Data Evaluation

The task involves evaluating the quality of synthetic data using ML metrics, which allows assessing the data quality from the perspective of its application to practical tasks.

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 1–7 of 7 papers

TitleStatusHype
An ELIXIR scoping review on domain-specific evaluation metrics for synthetic data in life sciences—0
What's Wrong with Your Synthetic Tabular Data? Using Explainable AI to Evaluate Generative ModelsCode0
CausalRivers -- Scaling up benchmarking of causal discovery for real-world time-series—0
zGAN: An Outlier-focused Generative Adversarial Network For Realistic Synthetic Data Generation—0
Evaluation of the Synthetic Electronic Health Records—0
Enabling Synthetic Data adoption in regulated domains—0
Variational Auto-encoder Based Bayesian Poisson Tensor Factorization for Sparse and Imbalanced Count Data—0
Show:102550

No leaderboard results yet.