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GPflow TensorFlow-backed Gaussian-process software

Combines Python object-oriented GP model interfaces with TensorFlow automatic differentiation, variational/sparse and sampling methods, contributing differentiable Cholesky and GPU triangular-solve support.

What is recorded here?

Combines Python object-oriented GP model interfaces with TensorFlow automatic differentiation, variational/sparse and sampling methods, contributing differentiable Cholesky and GPU triangular-solve support.

Source-linked catalogue note. A detailed explanatory guide has not yet been prepared for this entry.

Scientific scope

Approximate inference remains approximate outside exact-Gaussian cases; original2016test-coverage/timing reports are not current-library audits or universal speedups. Existing GP inference formulas, TensorFlow and blocked Cholesky differentiation algorithms are inherited. General numerical software only, not an application-domain achievement.

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People and systems

Alexander G. de G. Matthews; Mark van der Wilk; Tom Nickson; Keisuke Fujii; Alexis Boukouvalas; Pablo León-Villagrá; Zoubin Ghahramani; James Hensman

Source-listed authors or explicitly credited technical contributors for the cited versions. Family entries retain source-specific attribution; a combined list is not one original-paper byline or equal individual work. Names alone do not establish resolved identities.

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English catalogue narrative

GPflow TensorFlow-backed Gaussian-process software

Combines Python object-oriented GP model interfaces with TensorFlow automatic differentiation, variational/sparse and sampling methods, contributing differentiable Cholesky and GPU triangular-solve support.

Scientific scope

Approximate inference remains approximate outside exact-Gaussian cases; original2016test-coverage/timing reports are not current-library audits or universal speedups. Existing GP inference formulas, TensorFlow and blocked Cholesky differentiation algorithms are inherited. General numerical software only, not an application-domain achievement.

Reading status

This is a source-linked WRS catalogue note. A full explanatory guide and independent scientific reconstruction have not been completed for this entry. Read the identified original work for its complete narrative and arguments.

People and systems

Alexander G. de G. Matthews; Mark van der Wilk; Tom Nickson; Keisuke Fujii; Alexis Boukouvalas; Pablo León-Villagrá; Zoubin Ghahramani; James Hensman

Source-listed authors or explicitly credited technical contributors for the cited versions. Family entries retain source-specific attribution; a combined list is not one original-paper byline or equal individual work. Names alone do not establish resolved identities.

Original sources