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Found 2 papers, 1 papers with code
Data Subsampling for Bayesian Neural Networks
Since it requires the computation of a so-called "noise penalty" determined by the variance of the training loss function over the mini-batches, we refer to this data subsampling strategy as Penalty Bayesian Neural Networks - PBNNs.
Two-dimensional Mixture of Dipolar Fermions: Equation of State and Magnetic Phases
We study a two-component mixture of fermionic dipoles in two dimensions at zero temperature, interacting via a purely repulsive $1/r^3$ potential.
Quantum Gases
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