Extracting Invariant Features From Images Using An Equivariant Autoencoder. - Denis Kuzminykh; Daniil Polykovskiy; Alexander Zhebrak (ACML, 2018)

Molecular Sets (MOSES): A Benchmarking Platform for Molecular Generation Models. - Daniil Polykovskiy; Alexander Zhebrak; Benjamín Sánchez-Lengeling; Sergey Golovanov; Oktai Tatanov; Stanislav Belyaev; Rauf Kurbanov; Aleksey Artamonov; Vladimir Aladinskiy; Mark Veselov; Artur Kadurin; Sergey I. Nikolenko; et al. (CoRR, 2018)

A Prior of a Googol Gaussians: a Tensor Ring Induced Prior for Generative Models. - Maksim Kuznetsov; Daniil Polykovskiy; Dmitry P. Vetrov; Alexander Zhebrak (NeurIPS, 2019)

Chemistry42: An AI-based platform for de novo molecular design. - Yan A. Ivanenkov; Alexander Zhebrak; Dmitry Bezrukov; Bogdan Zagribelnyy; Vladimir Aladinskiy; Daniil Polykovskiy; Evgeny Putin; Petrina Kamya; Alexander Aliper; Alex Zhavoronkov (CoRR, 2021)