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Found 2 papers, 1 papers with code
Autoencoder-based General Purpose Representation Learning for Customer Embedding
In recent years, exploiting the domain-specific underlying structure of data and its generative factors for representation learning has shown success in various use-case agnostic applications.
Continuous time Gaussian process dynamical models in gene regulatory network inference
BINGO is based on MCMC sampling of trajectories of the GPDM and estimating the hyperparameters of the covariance function of the Gaussian process.
Optimization and Control Statistics Theory Molecular Networks Statistics Theory
