Graph Convolutional Policy for Solving Tree Decomposition via Reinforcement Learning Heuristics. - Taras Khakhulin; Roman Schutski; Ivan V. Oseledets (CoRR, 2019)

An adaptive algorithm for quantum circuit simulation. - Roman Schutski; Danil Lykov; Ivan V. Oseledets (CoRR, 2019)

Simple heuristics for efficient parallel tensor contraction and quantum circuit simulation. - Roman Schutski; Dmitry Kolmakov; Taras Khakhulin; Ivan V. Oseledets (CoRR, 2020)

TTOpt: A Maximum Volume Quantized Tensor Train-based Optimization and its Application to Reinforcement Learning. - Konstantin Sozykin; Andrei Chertkov; Roman Schutski; Anh-Huy Phan 001; Andrzej S. Cichocki; Ivan V. Oseledets (NeurIPS, 2022)

Tensor Network Quantum Simulator With Step-Dependent Parallelization. - Danylo Lykov; Roman Schutski; Alexey Galda; Valeri Vinokur; Yuri Alexeev (QCE, 2022)

COSMIC: Molecular Conformation Space Modeling in Internal Coordinates with an Adversarial Framework. - Maksim Kuznetsov; Fedor Ryabov; Roman Schutski; Rim Shayakhmetov; Yen-Chu Lin; Alex Aliper; Daniil Polykovskiy (J. Chem. Inf. Model., 2024)

BindGPT: A Scalable Framework for 3D Molecular Design via Language Modeling and Reinforcement Learning. - Artem Zholus; Maksim Kuznetsov; Roman Schutski; Rim Shayakhmetov; Daniil Polykovskiy; Sarath Chandar; Alex Zhavoronkov (AAAI, 2025)