2023
Evaluation of Categorical Generative Models - Bridging the Gap Between Real and Synthetic Data
ICASSP 2023accepted
The machine learning community has mainly relied on real data to benchmark algorithms as it provides compelling evidence of model applicability. Evaluation on synthetic datasets can be a powerful tool to provide a better understanding of a model’s strengths, weaknesses and overall capabilities. Gain…