| Tensor-structured coupled cluster theory R Schutski, J Zhao, TM Henderson, GE Scuseria The Journal of chemical physics 147 (18), 2017 | 82 | 2017 |
| Tensor network quantum simulator with step-dependent parallelization D Lykov, R Schutski, A Galda, V Vinokur, Y Alexeev 2022 IEEE International Conference on Quantum Computing and Engineering (QCE …, 2022 | 69 | 2022 |
| Multireference symmetry-projected variational approaches for ground and excited states of the one-dimensional Hubbard model R Rodríguez-Guzmán, CA Jiménez-Hoyos, R Schutski, GE Scuseria Physical Review B—Condensed Matter and Materials Physics 87 (23), 235129, 2013 | 58 | 2013 |
| TTOpt: A maximum volume quantized tensor train-based optimization and its application to reinforcement learning K Sozykin, A Chertkov, R Schutski, AH Phan, AS Cichocki, I Oseledets Advances in neural information processing systems 35, 26052-26065, 2022 | 37 | 2022 |
| Adaptive algorithm for quantum circuit simulation R Schutski, D Lykov, I Oseledets Physical Review A 101 (4), 042335, 2020 | 35 | 2020 |
| Tensor-decomposition techniques for ab initio nuclear structure calculations: From chiral nuclear potentials to ground-state energies A Tichai, R Schutski, GE Scuseria, T Duguet Physical Review C 99 (3), 034320, 2019 | 27 | 2019 |
| Simple heuristics for efficient parallel tensor contraction and quantum circuit simulation R Schutski, T Khakhulin, I Oseledets, D Kolmakov Physical Review A 102 (6), 062614, 2020 | 23 | 2020 |
| Comparing the accuracy of perturbative and variational calculations for predicting fundamental vibrational frequencies of dihalomethanes SV Krasnoshchekov, RS Schutski, NC Craig, M Sibaev, DL Crittenden The Journal of chemical physics 148 (8), 2018 | 23 | 2018 |
| Analytic energy gradient for the projected Hartree–Fock method R Schutski, CA Jiménez-Hoyos, GE Scuseria The Journal of Chemical Physics 140 (20), 2014 | 16 | 2014 |
| Bindgpt: A scalable framework for 3d molecular design via language modeling and reinforcement learning A Zholus, M Kuznetsov, R Schutski, R Shayakhmetov, D Polykovskiy, ... arXiv preprint arXiv:2406.03686, 2024 | 9 | 2024 |
| Quantum circuit simulation RS Schutski, IV Oseledets, YA Zotov, DS Kolmakov US Patent App. 17/717,914, 2022 | 3 | 2022 |
| Learning elimination ordering for tree decomposition problem T Khakhulin, R Schutski, I Oseledets Learning Meets Combinatorial Algorithms at NeurIPS2020, 2020 | 3 | 2020 |
| COSMIC: Molecular Conformation Space Modeling in Internal Coordinates with an Adversarial Framework M Kuznetsov, F Ryabov, R Schutski, R Shayakhmetov, YC Lin, A Aliper, ... Journal of Chemical Information and Modeling 64 (9), 3610-3620, 2024 | 1 | 2024 |
| Graph Convolutional Policy for Solving Tree Decomposition via Reinforcement Learning Heuristics T Khakhulin, R Schutski, I Oseledets arXiv preprint arXiv:1910.08371, 2019 | | 2019 |
| Tensor Structured Coupled Cluster Methods R Schutski Rice University, 2018 | | 2018 |
| Rethinking logic in AI: A novel benchmark inspired by polynomial analogue of Gandy's fixed point theorem N Andrey, R Schutski, A Gavrish, I Oseledets | | |
| TTOpt: A Maximum Volume Quantized Tensor Train-based Optimization and its Application to Reinforcement Learning. Supplementary Material K Sozykin, A Chertkov, R Schutski, AH Phan, A Cichocki, I Oseledets | | |
Gustavo E. ScuseriaWelch Professor of Chemistry, Physics & Astronomy, and Materials Science & NanoEngineeringAdresă de e-mail confirmată pe rice.edu
