1 code implementation • 30 Apr 2022 • Konstantin Sozykin, Andrei Chertkov, Roman Schutski, Anh-Huy Phan, Andrzej Cichocki, Ivan Oseledets
We present a novel procedure for optimization based on the combination of efficient quantized tensor train representation and a generalized maximum matrix volume principle.
no code implementations • NeurIPS Workshop LMCA 2020 • Taras Khakhulin, Roman Schutski, Ivan Oseledets
We propose a Reinforcement Learning-based approach to approximately solve the Tree Decomposition problem.
no code implementations • 18 Oct 2019 • Taras Khakhulin, Roman Schutski, Ivan Oseledets
We show that the agent builton GCN and trained on a single graph using an Actor-Critic method can efficiently generalize to real-world TD problem instances.
1 code implementation • 8 Aug 2017 • Roman Schutski, Jinmo Zhao, Thomas M. Henderson, Gustavo E. Scuseria
We derive and implement a new way of solving coupled cluster equations with lower computational scaling.
Chemical Physics Strongly Correlated Electrons