Semi-described and semi-supervised learning with Gaussian processes

3 September 2015

Papers citing "Semi-described and semi-supervised learning with Gaussian processes"

8 / 8 papers shown

Title
Deep Gaussian Processes for Biogeophysical Parameter Retrieval and Model Inversion D. Svendsen Pablo Morales-Álvarez A. Ruescas Rafael Molina Gustau Camps-Valls 30 29 0 16 Apr 2021
Learning GPLVM with arbitrary kernels using the unscented transformation Daniel Augusto R. M. A. de Souza Diego Mesquita C. L. C. Mattos Joao P. P. Gomes 29 0 0 03 Jul 2019
Deep Gaussian Processes with Importance-Weighted Variational Inference Hugh Salimbeni Vincent Dutordoir J. Hensman M. Deisenroth BDL 31 43 0 14 May 2019
Gaussian Process Conditional Density Estimation Vincent Dutordoir Hugh Salimbeni M. Deisenroth J. Hensman 19 52 0 30 Oct 2018
Meta Reinforcement Learning with Latent Variable Gaussian Processes Steindór Sæmundsson Katja Hofmann M. Deisenroth BDL OffRL AI4CE 34 142 0 20 Mar 2018
Variational Gaussian Process Auto-Encoder for Ordinal Prediction of Facial Action Units Stefanos Eleftheriadis Ognjen Rudovic M. Deisenroth Maja Pantic DRL 25 28 0 16 Aug 2016
Recurrent Gaussian Processes C. L. C. Mattos Zhenwen Dai Andreas C. Damianou Jeremy Forth G. Barreto Neil D. Lawrence BDL 32 75 0 20 Nov 2015
Variational Auto-encoded Deep Gaussian Processes Zhenwen Dai Andreas C. Damianou Javier I. González Neil D. Lawrence BDL 26 131 0 19 Nov 2015