34 citations · 116 across the 8 of their papers we have counts for
Showing 2022Show all
2 papers · 1 filter
cs.LG2022★ 4 cited
Bayesian posterior approximation with stochastic ensembles
Oleksandr Balabanov, Bernhard Mehlig, Hampus Linander
We introduce ensembles of stochastic neural networks to approximate the Bayesian posterior, combining stochastic methods such as dropout with deep ensembles. The stochastic ensembl…
cond-mat.mes-hall2022★ 12 cited
Quantization of topological indices in critical chains at low temperatures
Oleksandr Balabanov, Carlos Ortega-Taberner, Maria Hermanns
Various types of topological phenomena at criticality are currently under active research. In this paper we suggest to generalize the known topological quantities to finite tempera…