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Low Tensor Rank Learning of Neural Dynamics
Learning relies on coordinated synaptic changes in recurrently connected populations of neurons.
ConsistencyofConstrainedSpectralClusteringunder GraphInducedFairPlantedPartitions
In this paper,we consider a setting where sensitive attributes indirectly manifest in an auxiliary representation graphrather than being directly observed.
7f2cba89a7116c7c6b0a769572d5fad9-Paper.pdf
In the context of localization, however, there is no natural definition of classes. Therefore, images areartificially separated intopositive/negativeclasses with respect to the chosen anchor images, based on some geometric proximity measure.
Fast Approximation of the Sliced-Wasserstein Distance Using Concentration of Random Projections
The important steps to formulate our approximate SW are summarized as follows.
