| Machine learning spectral functions in lattice QCD SY Chen, HT Ding, FY Liu, G Papp, CB Yang arXiv preprint arXiv:2110.13521, 2021 | 12 | 2021 |
| Jet tagging algorithm of graph network with Haar pooling message passing F Ma, F Liu, W Li Physical Review D 108 (7), 072007, 2023 | 10 | 2023 |
| Transfer learning of phase transitions in percolation and directed percolation J Shen, F Liu, S Chen, D Xu, X Chen, S Deng, W Li, G Papp, C Yang Physical Review E 105 (6), 064139, 2022 | 9 | 2022 |
| Study of phase transition of Potts model with Domain Adversarial Neural Network X Chen, F Liu, S Chen, J Shen, W Deng, G Papp, W Li, C Yang Physica A: Statistical Mechanics and its Applications 617, 128666, 2023 | 4 | 2023 |
| Machine learning of pair-contact process with diffusion J Shen, W Li, S Deng, D Xu, S Chen, F Liu Scientific Reports 12 (1), 19728, 2022 | 4 | 2022 |
| Machine learning Hadron Spectral Functions in Lattice QCD C ShiYang, H Ding, FY Liu, G Papp, CB Yang The 38th International Symposium on Lattice Field Theory, 148, 2022 | 1 | 2022 |
| Applications of Domain Adversarial Neural Network in phase transition of 3D Potts model X Chen, F Liu, W Deng, S Chen, J Shen, G Papp, W Li, C Yang Physica A: Statistical Mechanics and its Applications 637, 129533, 2024 | | 2024 |
| Supervised and unsupervised learning of (1+ 1)-dimensional even-offspring branching annihilating random walks Y Wang, W Li, F Liu, J Shen Machine Learning: Science and Technology, 2023 | | 2023 |
Gábor PappInstitute for Physics, Eötvös Loránd UniversityVerified email at ludens.elte.hu
