  This technical report investigates variants of the Latent Inceptionism on
Molecules (LIMO) framework to improve the properties of generated molecules. We
conduct ablative studies of molecular representation, decoder model, and
surrogate model training scheme. The experiments suggest that an autogressive
Transformer decoder with GroupSELFIES achieves the best average properties for
the random generation task.
