Unsupervised learning using topological data augmentation O Balabanov, M Granath Physical Review Research 2 (1), 013354, 2020 | 34 | 2020 |
Robustness of symmetry-protected topological states against time-periodic perturbations O Balabanov, H Johannesson PHYSICAL REVIEW B 96 (035149), 2017 | 34 | 2017 |
Topology of critical chiral phases: Multiband insulators and superconductors O Balabanov, D Erkensten, H Johannesson Physical Review Research 3 (4), 043048, 2021 | 13 | 2021 |
Transport signatures of symmetry protection in 1D Floquet topological insulators O Balabanov, H Johannesson Journal of Physics: Condensed Matter 32 (1), 015503, 2019 | 9 | 2019 |
Unsupervised interpretable learning of topological indices invariant under permutations of atomic bands O Balabanov, M Granath Machine Learning: Science and Technology 2 (2), 025008, 2020 | 7 | 2020 |
Quantization of topological indices in critical chains at low temperatures O Balabanov, C Ortega-Taberner, M Hermanns Physical Review B 106 (4), 045116, 2022 | 6 | 2022 |
Bayesian posterior approximation with stochastic ensembles O Balabanov, B Mehlig, H Linander 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR …, 2023 | 3 | 2023 |
Looking at the posterior: accuracy and uncertainty of neural-network predictions H Linander, O Balabanov, H Yang, B Mehlig Machine Learning: Science and Technology 4 (4), 045032, 2023 | 1 | 2023 |
Uncertainty quantification in fine-tuned LLMs using LoRA ensembles O Balabanov, H Linander arXiv preprint arXiv:2402.12264, 2024 | | 2024 |
Symmetry-protected topological phases: From Floquet theory to machine learning O Balabanov | | 2020 |
Unsupervised learning of topological indices O Balabanov, M Granath Bulletin of the American Physical Society 65, 2020 | | 2020 |
Transport through periodically driven systems: Green's function approach formulated within frequency domain O Balabanov arXiv preprint arXiv:1812.05755, 2018 | | 2018 |
Supplemental material: Bayesian posterior approximation with stochastic ensembles O Balabanov, B Mehlig, H Linander dim (θ) 101, 2, 0 | | |