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Found 4 papers, 2 papers with code
GPflux: A Library for Deep Gaussian Processes
GPflux is compatible with and built on top of the Keras deep learning eco-system.
High-dimensional Bayesian optimization using low-dimensional feature spaces
Our approach allows for optimization of BO's acquisition function in the lower-dimensional subspace, which significantly simplifies the optimization problem.
Variational Gaussian Process Auto-Encoder for Ordinal Prediction of Facial Action Units
In particular, we introduce GP encoders to project multiple observed features onto a latent space, while GP decoders are responsible for reconstructing the original features.
Gaussian Process Domain Experts for Model Adaptation in Facial Behavior Analysis
The adaptation of the classifier is facilitated in probabilistic fashion by conditioning the target expert on multiple source experts.
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