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cond-mat.dis-nn2020
Unsupervised interpretable learning of topological indices invariant under permutations of atomic bands
Oleksandr Balabanov, Mats Granath
Multi-band insulating Bloch Hamiltonians with internal or spatial symmetries, such as particle-hole or inversion, may have topologically disconnected sectors of trivial atomic-limi…
cond-mat.dis-nn2019
Unsupervised learning using topological data augmentation
Oleksandr Balabanov, Mats Granath
Unsupervised machine learning is a cornerstone of artificial intelligence as it provides algorithms capable of learning tasks, such as classification of data, without explicit huma…