Published in ChemRxiv, 2022
Penalized linear models enforcing sparsity on grouped molecular representations.
Recommended citation: Adilov, Sanjar (2022): Molecular-Property Prediction with Sparsity. ChemRxiv. Preprint. doi:10.26434/chemrxiv-2022-g7mfn http://doi.org/10.26434/chemrxiv-2022-g7mfn
Published in ChemRxiv, 2021
Pre-training a multi-task GPT-2 transformer for drug design. Transfer learning with adapter modules for molecular-property prediction and focused molecule generation.
Recommended citation: Adilov, Sanjar (2021): Generative Pre-Training from Molecules. ChemRxiv. Preprint. doi:10.33774/chemrxiv-2021-5fwjd http://doi.org/10.33774/chemrxiv-2021-5fwjd
Published in ChemRxiv, 2021
A comprehensive outline of SMILES-based autoregressive language models.
Recommended citation: Adilov, Sanjar (2021): Neural Language Modeling for Molecule Generation. ChemRxiv. Preprint. doi:10.26434/chemrxiv.14700831.v1 https://doi.org/10.26434/chemrxiv.14700831.v1
Published in Intelligent systems. Theory and applications, 2018
An upper bound for the chromatic number of graphs depending on thickness and girth.
Recommended citation: S. Sh. Adilov, “An upper bound for the chromatic number of graphs with given thickness and girth”, Intelligent systems. Theory and applications, 22:3 (2018), 99–104 http://mi.mathnet.ru/eng/ista/v22/i3/p99