Recurrent Gaussian Processes

Recurrent Gaussian Processes

20 November 2015

C. L. C. Mattos

Andreas C. Damianou

Neil D. Lawrence

Papers citing "Recurrent Gaussian Processes"

18 / 18 papers shown

Title
Residual Deep Gaussian Processes on Manifolds Kacper Wyrwal Andreas Krause Viacheslav Borovitskiy BDL 49 0 0 31 Oct 2024
Bézier Curve Gaussian Processes Ronny Hug S. Becker Wolfgang Hubner Michael Arens Jürgen Beyerer 21 4 0 03 May 2022
RNN with Particle Flow for Probabilistic Spatio-temporal Forecasting Soumyasundar Pal Liheng Ma Yingxue Zhang Mark J. Coates BDL AI4TS 33 22 0 10 Jun 2021
Recurrent Attentive Neural Process for Sequential Data Shenghao Qin Jiacheng Zhu Jimmy Qin Wenshuo Wang Ding Zhao BDL AI4TS 27 38 0 17 Oct 2019
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
Neural Dynamics Discovery via Gaussian Process Recurrent Neural Networks Qi She Anqi Wu BDL 18 34 0 01 Jul 2019
The Functional Neural Process Christos Louizos Xiahan Shi Klamer Schutte Max Welling BDL 38 77 0 19 Jun 2019
Overcoming Mean-Field Approximations in Recurrent Gaussian Process Models Alessandro Davide Ialongo Mark van der Wilk J. Hensman C. Rasmussen 33 30 0 13 Jun 2019
Streaming Variational Monte Carlo Yuan Zhao Josue Nassar I. Jordan M. Bugallo Il Memming Park BDL 34 21 0 04 Jun 2019
Neural Likelihoods for Multi-Output Gaussian Processes M. Jankowiak Jacob R. Gardner UQCV BDL 27 3 0 31 May 2019
Learning dynamical systems with particle stochastic approximation EM Andreas Svensson Fredrik Lindsten 31 9 0 25 Jun 2018
Identification of Gaussian Process State Space Models Stefanos Eleftheriadis Tom Nicholson M. Deisenroth J. Hensman 24 111 0 30 May 2017
Doubly Stochastic Variational Inference for Deep Gaussian Processes Hugh Salimbeni M. Deisenroth BDL GP 34 415 0 24 May 2017
Learning Scalable Deep Kernels with Recurrent Structure Maruan Al-Shedivat A. Wilson Yunus Saatchi Zhiting Hu Eric P. Xing BDL 13 104 0 27 Oct 2016
How priors of initial hyperparameters affect Gaussian process regression models Zexun Chen Bo Wang 16 86 0 25 May 2016
A flexible state space model for learning nonlinear dynamical systems Andreas Svensson Thomas B. Schon 14 104 0 17 Mar 2016
Inverse Reinforcement Learning via Deep Gaussian Process Ming Jin Andreas C. Damianou Pieter Abbeel C. Spanos OffRL BDL GP 18 22 0 26 Dec 2015
Computationally Efficient Bayesian Learning of Gaussian Process State Space Models Andreas Svensson Arno Solin Simo Särkkä Thomas B. Schon 24 57 0 07 Jun 2015