15 citations · 34 across the 16 of their papers we have counts for
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cs.LG2022★ 15 cited
BARTSmiles: Generative Masked Language Models for Molecular Representations
Gayane Chilingaryan, Hovhannes Tamoyan, Ani Tevosyan +6
We discover a robust self-supervised strategy tailored towards molecular representations for generative masked language models through a series of tailored, in-depth ablations. Usi…
cs.LG2022
Improving VAE based molecular representations for compound property prediction
A. Tevosyan, L. Khondkaryan, H. Khachatrian +5
Collecting labeled data for many important tasks in chemoinformatics is time consuming and requires expensive experiments. In recent years, machine learning has been used to learn…