Pages that link to "Item:Q5361306"

The following pages link to GPflow: a Gaussian process library using TensorFlow (Q5361306):

Displaying 34 items.

• GPflow (Q33325) (← links)
• Practical Hilbert space approximate Bayesian Gaussian processes for probabilistic programming (Q91882) (← links)
• A tutorial on Gaussian process regression: modelling, exploring, and exploiting functions (Q1735988) (← links)
• Emulation of CPU-demanding reactive transport models: a comparison of Gaussian processes, polynomial chaos expansion, and deep neural networks (Q2009855) (← links)
• MVMOO: mixed variable multi-objective optimisation (Q2046315) (← links)
• Latent-space time evolution of non-intrusive reduced-order models using Gaussian process emulation (Q2115690) (← links)
• Gaussian process regression for maximum entropy distribution (Q2124600) (← links)
• Coupling kinetic and continuum using data-driven maximum entropy distribution (Q2132630) (← links)
• Stochastic embeddings of dynamical phenomena through variational autoencoders (Q2133707) (← links)
• Likelihood-free inference with deep Gaussian processes (Q2157533) (← links)
• Posterior inference for sparse hierarchical non-stationary models (Q2189583) (← links)
• Recursive estimation for sparse Gaussian process regression (Q2203074) (← links)
• Bayesian optimization using deep Gaussian processes with applications to aerospace system design (Q2245694) (← links)
• Bayesian optimization of variable-size design space problems (Q2245699) (← links)
• Grouped Gaussian processes for solar power prediction (Q2320556) (← links)
• Long length document classification by local convolutional feature aggregation (Q2331621) (← links)
• pyGPs -- a Python library for Gaussian process regression and classification (Q2788375) (← links)
• BayesPy: variational Bayesian inference in Python (Q2810831) (← links)
• (Q4558471) (← links)
• (Q4614106) (← links)
• (Q4969236) (← links)
• (Q4999044) (← links)
• (Q5053249) (← links)
• FINANCIAL TIME SERIES USING NONLINEAR DIFFERENTIAL EQUATION OF GAUSSIAN DISTRIBUTION PROBABILITY DENSITY (Q5070797) (← links)
• (Q5159435) (← links)
• (Q5214205) (← links)
• Deep Gaussian process for multi-objective Bayesian optimization (Q6050375) (← links)
• Deep Compositional Spatial Models (Q6110701) (← links)
• Pruning during training by network efficacy modeling (Q6134335) (← links)
• Hierarchical Gaussian process models for improved metamodeling (Q6600109) (← links)
• Surrogate modeling by multifidelity cokriging for the ductile failure of random microstructures (Q6604124) (← links)
• Large-scale environmental data science with ExaGeoStatR (Q6626535) (← links)
• Multiple closed curve modeling with uncertainty quantification for shape analysis (Q6645134) (← links)
• Python fuzzing for trustworthy machine learning frameworks (Q6650277) (← links)