The authors report that adding a classifier-based range-loss to a WGAN makes it generate molecules labeled as odorants in 99.2% of trials, but the labeler is both the training signal and the evaluation metric.
Yang, Jing Lu, and Yee Sin Ang
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.LG 1years
2025 1verdicts
REJECT 1representative citing papers
citing papers explorer
-
Improved Molecular Generation through Attribute-Driven Integrative Embeddings and GAN Selectivity
The authors report that adding a classifier-based range-loss to a WGAN makes it generate molecules labeled as odorants in 99.2% of trials, but the labeler is both the training signal and the evaluation metric.