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Journal Articles
- 2024
[j1]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): 3610-3620 (2024)
Conference and Workshop Papers
- 2022
- [c2]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 - [c1]Danylo Lykov, Roman Schutski, Alexey Galda, Valeri Vinokur, Yuri Alexeev:
Tensor Network Quantum Simulator With Step-Dependent Parallelization. QCE 2022: 582-593
Informal and Other Publications
- 2024
- [i5]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 abs/2406.03686 (2024) - 2022
- [i4]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 abs/2205.00293 (2022) - 2020
- [i3]Roman Schutski, Dmitry Kolmakov, Taras Khakhulin, Ivan V. Oseledets:
Simple heuristics for efficient parallel tensor contraction and quantum circuit simulation. CoRR abs/2004.10892 (2020) - 2019
- [i2]Taras Khakhulin, Roman Schutski, Ivan V. Oseledets:
Graph Convolutional Policy for Solving Tree Decomposition via Reinforcement Learning Heuristics. CoRR abs/1910.08371 (2019) - [i1]Roman Schutski, Danil Lykov, Ivan V. Oseledets:
An adaptive algorithm for quantum circuit simulation. CoRR abs/1911.12242 (2019)
Coauthor Index
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