ICDN is a neural network that models log-demand from log-prices so elasticities can be derived exactly by differentiation, showing better out-of-sample performance than log-log benchmarks on beer sales data.
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Computes Brauer groups of selected known Enriques manifolds and studies the pull-back map to their hyper-Kähler universal covers.
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Integrable Elasticity via Neural Demand Potentials
ICDN is a neural network that models log-demand from log-prices so elasticities can be derived exactly by differentiation, showing better out-of-sample performance than log-log benchmarks on beer sales data.
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On Brauer groups of known Enriques manifolds
Computes Brauer groups of selected known Enriques manifolds and studies the pull-back map to their hyper-Kähler universal covers.