Follow
Oleksandr Balabanov
Oleksandr Balabanov
Verified email at fysik.su.se
Title
Cited by
Cited by
Year
Unsupervised learning using topological data augmentation
O Balabanov, M Granath
Physical Review Research 2 (1), 013354, 2020
342020
Robustness of symmetry-protected topological states against time-periodic perturbations
O Balabanov, H Johannesson
PHYSICAL REVIEW B 96 (035149), 2017
342017
Topology of critical chiral phases: Multiband insulators and superconductors
O Balabanov, D Erkensten, H Johannesson
Physical Review Research 3 (4), 043048, 2021
132021
Transport signatures of symmetry protection in 1D Floquet topological insulators
O Balabanov, H Johannesson
Journal of Physics: Condensed Matter 32 (1), 015503, 2019
92019
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
72020
Quantization of topological indices in critical chains at low temperatures
O Balabanov, C Ortega-Taberner, M Hermanns
Physical Review B 106 (4), 045116, 2022
62022
Bayesian posterior approximation with stochastic ensembles
O Balabanov, B Mehlig, H Linander
2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR …, 2023
32023
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
12023
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
The system can't perform the operation now. Try again later.
Articles 1–13