Abstract: Learning dynamical networks based on time series of nodal states is of significant interest in systems science, computer science, and control engineering. Despite recent progress in network ...
bde is a user-friendly implementation of Bayesian Deep Ensembles compatible with both scikit-learn and JAX. It exposes estimators that plug into scikit-learn pipelines while leveraging JAX for ...
Abstract: Sparse Bayesian Learning (SBL) is recognized for its efficacy in sparse signal recovery, the computational demand escalates significantly with increasing data dimensionality due to the ...
A key task in Spoken Language Understanding (SLU) is interpreting user intentions from speech utterances. This task is considered to be a classification problem with the goal of categorizing a given ...
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