Roman Schutski

According to our database, Roman Schutski authored at least 9 papers between 2019 and 2026.

Collaborative distances:

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

2026

MMAI Gym for Science: Training Liquid Foundation Models for Drug Discovery.

Maksim Kuznetsov, Zulfat Miftahutdinov, Rim Shayakhmetov, Mikolaj Mizera, Roman Schutski, Bogdan Zagribelnyy, Ivan Ilin, Nikita Bondarev, Thomas MacDougall, Mathieu Reymond, Mihir Bafna, Kaeli Kaymak-Loveless, Eugene Babin, Maxim Malkov, Mathias Lechner, Ramin M. Hasani, Alexander Amini, Vladimir Aladinskiy, Alex Aliper, Alex Zhavoronkov

CoRR, March, 2026

When Single Answer Is Not Enough: Rethinking Single-Step Retrosynthesis Benchmarks for LLMs.

Bogdan Zagribelnyy, Ivan Ilin, Maksim Kuznetsov, Nikita Bondarev, Roman Schutski, Thomas MacDougall, Rim Shayakhmetov, Zulfat Miftakhutdinov, Mikolaj Mizera, Vladimir Aladinskiy, Alex Aliper, Alex Zhavoronkov

CoRR, February, 2026

2025

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

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

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

2022

Tensor Network Quantum Simulator With Step-Dependent Parallelization.

Danylo Lykov, Roman Schutski, Alexey Galda, Valeri Vinokur, Yuri Alexeev

Proceedings of the IEEE International Conference on Quantum Computing and Engineering, 2022

TTOpt: A Maximum Volume Quantized Tensor Train-based Optimization and its Application to Reinforcement Learning.

Konstantin Sozykin, Andrei Chertkov, Roman Schutski, Anh-Huy Phan, Andrzej S. Cichocki, Ivan V. Oseledets

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2020

Simple heuristics for efficient parallel tensor contraction and quantum circuit simulation.

Roman Schutski, Dmitry Kolmakov, Taras Khakhulin, Ivan V. Oseledets

CoRR, 2020

2019

An adaptive algorithm for quantum circuit simulation.

Roman Schutski, Danil Lykov, Ivan V. Oseledets

CoRR, 2019

Graph Convolutional Policy for Solving Tree Decomposition via Reinforcement Learning Heuristics.

Taras Khakhulin, Roman Schutski, Ivan V. Oseledets

CoRR, 2019