Roman Schutski

11 papers A* 2Misc 1Journal 8

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	MMAI Gym for Science: Training Liquid Foundation Models for Drug Discovery. CoRR 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
2026	J	`jnl`	When Single Answer Is Not Enough: Rethinking Single-Step Retrosynthesis Benchmarks for LLMs. CoRR Bogdan Zagribelnyy, Ivan Ilin, Maksim Kuznetsov, Nikita Bondarev, Roman Schutski, Thomas MacDougall, Rim Shayakhmetov, Zulfat Miftakhutdinov, Mikolaj Mizera, Vladimir Aladinskiy, Alex Aliper, Alex Zhavoronkov
2025	A*	`conf`	BindGPT: A Scalable Framework for 3D Molecular Design via Language Modeling and Reinforcement Learning. AAAI Artem Zholus, Maksim Kuznetsov, Roman Schutski, Rim Shayakhmetov, Daniil Polykovskiy, Sarath Chandar, Alex Zhavoronkov
2024	J	`jnl`	BindGPT: A Scalable Framework for 3D Molecular Design via Language Modeling and Reinforcement Learning. CoRR Artem Zholus, Maksim Kuznetsov, Roman Schutski, Rim Shayakhmetov, Daniil Polykovskiy, Sarath Chandar, Alex Zhavoronkov
2024	J	`jnl`	COSMIC: Molecular Conformation Space Modeling in Internal Coordinates with an Adversarial Framework. J. Chem. Inf. Model. Maksim Kuznetsov, Fedor Ryabov, Roman Schutski, Rim Shayakhmetov, Yen-Chu Lin, Alex Aliper, Daniil Polykovskiy
2022	A*	`conf`	TTOpt: A Maximum Volume Quantized Tensor Train-based Optimization and its Application to Reinforcement Learning. NeurIPS Konstantin Sozykin, Andrei Chertkov, Roman Schutski, Anh-Huy Phan, Andrzej S. Cichocki, Ivan V. Oseledets
2022	J	`jnl`	TTOpt: A Maximum Volume Quantized Tensor Train-based Optimization and its Application to Reinforcement Learning. CoRR Konstantin Sozykin, Andrei Chertkov, Roman Schutski, Anh Huy Phan, Andrzej Cichocki, Ivan V. Oseledets
2022	Misc	`conf`	Tensor Network Quantum Simulator With Step-Dependent Parallelization. QCE Danylo Lykov, Roman Schutski, Alexey Galda, Valeri Vinokur, Yuri Alexeev
2020	J	`jnl`	Simple heuristics for efficient parallel tensor contraction and quantum circuit simulation. CoRR Roman Schutski, Dmitry Kolmakov, Taras Khakhulin, Ivan V. Oseledets
2019	J	`jnl`	An adaptive algorithm for quantum circuit simulation. CoRR Roman Schutski, Danil Lykov, Ivan V. Oseledets
2019	J	`jnl`	Graph Convolutional Policy for Solving Tree Decomposition via Reinforcement Learning Heuristics. CoRR Taras Khakhulin, Roman Schutski, Ivan V. Oseledets