English

Technical report: Improving the properties of molecules generated by LIMO

Machine Learning 2024-07-23 v1 Biomolecules

Abstract

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.

Cite

@article{arxiv.2407.14968,
  title  = {Technical report: Improving the properties of molecules generated by LIMO},
  author = {Vineet Thumuluri and Peter Eckmann and Michael K. Gilson and Rose Yu},
  journal= {arXiv preprint arXiv:2407.14968},
  year   = {2024}
}

Comments

9 pages, 2 figures

R2 v1 2026-06-28T17:48:26.888Z