Marta Glavatskikh

According to our database, Marta Glavatskikh authored at least 3 papers between 2019 and 2021.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2021

Scalable estimator of the diversity for de novo molecular generation resulting in a more robust QM dataset (OD9) and a more efficient molecular optimization.

Jules Leguy, Marta Glavatskikh, Thomas Cauchy, Benoit Da Mota

J. Cheminformatics, 2021

2020

EvoMol: a flexible and interpretable evolutionary algorithm for unbiased de novo molecular generation.

Jules Leguy, Thomas Cauchy, Marta Glavatskikh, Béatrice Duval, Benoit Da Mota

J. Cheminformatics, 2020

2019

Dataset's chemical diversity limits the generalizability of machine learning predictions.

Marta Glavatskikh, Jules Leguy, Gilles Hunault, Thomas Cauchy, Benoit Da Mota

J. Cheminformatics, 2019