| nabladft: Large-scale conformational energy and hamiltonian prediction benchmark and dataset K Khrabrov, I Shenbin, A Ryabov, A Tsypin, A Telepov, A Alekseev, ... Physical Chemistry Chemical Physics 24 (42), 25853-25863, 2022 | 18 | 2022 |
| Automating control of overestimation bias for reinforcement learning A Kuznetsov, A Grishin, A Tsypin, A Ashukha, A Kadurin, D Vetrov arXiv preprint arXiv:2110.13523, 2021 | 13 | 2021 |
| FREED++: Improving RL Agents for Fragment-Based Molecule Generation by Thorough Reproduction A Telepov, A Tsypin, K Khrabrov, S Yakukhnov, P Strashnov, P Zhilyaev, ... arXiv preprint arXiv:2401.09840, 2024 | 1 | 2024 |
| Gradual Optimization Learning for Conformational Energy Minimization A Tsypin, L Ugadiarov, K Khrabrov, M Avetisian, A Telepov, E Rumiantsev, ... arXiv preprint arXiv:2311.06295, 2023 | 1 | 2023 |
| DFT: A Universal Quantum Chemistry Dataset of Drug-Like Molecules and a Benchmark for Neural Network Potentials K Khrabrov, A Ber, A Tsypin, K Ushenin, E Rumiantsev, A Telepov, ... arXiv preprint arXiv:2406.14347, 2024 | | 2024 |
| Doping Position Estimation for FeRh-based alloys E Rumiantsev, K Khrabrov, A Tsypin, N Peresypkin, R Gimaev, V Zverev, ... | | 2024 |
Artur KadurinArtificial Intelligence Research Institute; KubSU在 airi.net 的电子邮件经过验证
