Roman Schutski

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 8

Top Topics

Tree Decomposition

Function Approximators

Reinforcement Learning

Top Venues

J. Chem. Inf. Model.

Publications

Artem Zholus, Maksim Kuznetsov, Roman Schutski, Rim Shayakhmetov, Daniil Polykovskiy, Sarath Chandar, Alex Zhavoronkov
BindGPT: A Scalable Framework for 3D Molecular Design via Language Modeling and Reinforcement Learning. CoRR (2024)
Maksim Kuznetsov, Fedor Ryabov, Roman Schutski, Rim Shayakhmetov, Yen-Chu Lin, Alex Aliper, Daniil Polykovskiy
COSMIC: Molecular Conformation Space Modeling in Internal Coordinates with an Adversarial Framework. J. Chem. Inf. Model. 64 (9) (2024)
Konstantin Sozykin, Andrei Chertkov, Roman Schutski, Anh Huy Phan, Andrzej Cichocki, Ivan V. Oseledets
TTOpt: A Maximum Volume Quantized Tensor Train-based Optimization and its Application to Reinforcement Learning. CoRR (2022)
Danylo Lykov, Roman Schutski, Alexey Galda, Valeri Vinokur, Yuri Alexeev
Tensor Network Quantum Simulator With Step-Dependent Parallelization. QCE (2022)
Konstantin Sozykin, Andrei Chertkov, Roman Schutski, Anh-Huy Phan, Andrzej S. Cichocki, Ivan V. Oseledets
TTOpt: A Maximum Volume Quantized Tensor Train-based Optimization and its Application to Reinforcement Learning. NeurIPS (2022)
Roman Schutski, Dmitry Kolmakov, Taras Khakhulin, Ivan V. Oseledets
Simple heuristics for efficient parallel tensor contraction and quantum circuit simulation. CoRR (2020)
Roman Schutski, Danil Lykov, Ivan V. Oseledets
An adaptive algorithm for quantum circuit simulation. CoRR (2019)
Taras Khakhulin, Roman Schutski, Ivan V. Oseledets
Graph Convolutional Policy for Solving Tree Decomposition via Reinforcement Learning Heuristics. CoRR (2019)