Oleksandr Balabanov

According to our database, Oleksandr Balabanov authored at least 7 papers between 2021 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Learning Chern Numbers of Topological Insulators with Gauge Equivariant Neural Networks.

Longde Huang, Oleksandr Balabanov, Hampus Linander, Mats Granath, Daniel Persson, Jan E. Gerken

CoRR, February, 2025

Learning Chern Numbers of Multiband Topological Insulators with Gauge Equivariant Neural Networks.

Longde Huang, Oleksandr Balabanov, Hampus Linander, Mats Granath, Daniel Persson, Jan E. Gerken

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

2024

Uncertainty quantification in fine-tuned LLMs using LoRA ensembles.

Oleksandr Balabanov, Hampus Linander

CoRR, 2024

2023

Looking at the posterior: accuracy and uncertainty of neural-network predictions.

Hampus Linander, Oleksandr Balabanov, Henry Yang, Bernhard Mehlig

Mach. Learn. Sci. Technol., December, 2023

Bayesian Posterior Approximation With Stochastic Ensembles.

Oleksandr Balabanov, Bernhard Mehlig, Hampus Linander

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Looking at the posterior: on the origin of uncertainty in neural-network classification.

Hampus Linander, Oleksandr Balabanov, Henry Yang, Bernhard Mehlig

CoRR, 2022

2021

Unsupervised interpretable learning of topological indices invariant under permutations of atomic bands.

Oleksandr Balabanov, Mats Granath

Mach. Learn. Sci. Technol., 2021