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We introduce GPflux, a Python library for Bayesian deep learning with a strong emphasis on deep Gaussian processes (DGPs).
“A Framework for Interdomain and Multioutput Gaussian Processes”
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Marton Havasi, José Hernández-Lobato and Juané Murillo-Fuentes · 2018
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Hugh Salimbeni, Stefanos Eleftheriadis and James Hensman · 2018
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Hugh Salimbeni, Vincent Dutordoir, James Hensman and Marc. Deisenroth · 2019
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Xiaoyong Yuan, Pan He, Qile Zhu and Xiaolin Li · 2019
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“Bayesian Image Classification with Deep Convolutional Gaussian Processes”
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“Convolutional Gaussian Processes”
Mark van Wilk, Carl. Rasmussen and James Hensman · 2017
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Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan Gomez, Łukasz Kaiser and Illia Polosukhin · 2017
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Vincent Dutordoir, Hugh Salimbeni, James Hensman and Marc. Deisenroth · 2018
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“On the Expressiveness of Approximate Inference in Bayesian Neural Networks”
Andrew.. Foong, David. Burt, Yingzhen Li and Richard. Turner · 2020
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