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GPflow: A Gaussian process library using TensorFlow

GPflow: A Gaussian process library using TensorFlow

27 October 2016
A. G. Matthews
Mark van der Wilk
T. Nickson
Keisuke Fujii
A. Boukouvalas
Pablo León-Villagrá
Zoubin Ghahramani
J. Hensman
    GP
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Papers citing "GPflow: A Gaussian process library using TensorFlow"

19 / 269 papers shown
Title
Structured Variational Inference for Coupled Gaussian Processes
Structured Variational Inference for Coupled Gaussian Processes
Vincent Adam
22
2
0
03 Nov 2017
Auto-Differentiating Linear Algebra
Auto-Differentiating Linear Algebra
Matthias Seeger
A. Hetzel
Zhenwen Dai
Eric Meissner
Neil D. Lawrence
17
38
0
24 Oct 2017
Scalable Gaussian Processes with Billions of Inducing Inputs via Tensor
  Train Decomposition
Scalable Gaussian Processes with Billions of Inducing Inputs via Tensor Train Decomposition
Pavel Izmailov
Alexander Novikov
D. Kropotov
28
61
0
19 Oct 2017
Learning to Warm-Start Bayesian Hyperparameter Optimization
Learning to Warm-Start Bayesian Hyperparameter Optimization
Jungtaek Kim
Saehoon Kim
Seungjin Choi
19
3
0
17 Oct 2017
Bayesian Alignments of Warped Multi-Output Gaussian Processes
Bayesian Alignments of Warped Multi-Output Gaussian Processes
Markus Kaiser
Clemens Otte
Thomas Runkler
Carl Henrik Ek
35
19
0
08 Oct 2017
Neural network an1alysis of sleep stages enables efficient diagnosis of
  narcolepsy
Neural network an1alysis of sleep stages enables efficient diagnosis of narcolepsy
Jens B. Stephansen
A. N. Olesen
Mads Olsen
A. Ambati
E. Leary
...
C. Kushida
P. Peppard
H. Sørensen
P. Jennum
Emmanuel Mignot
38
221
0
05 Oct 2017
Forecasting of commercial sales with large scale Gaussian Processes
Forecasting of commercial sales with large scale Gaussian Processes
Rodrigo Rivera
Evgeny Burnaev
13
22
0
16 Sep 2017
Convolutional Gaussian Processes
Convolutional Gaussian Processes
Mark van der Wilk
C. Rasmussen
J. Hensman
BDL
27
130
0
06 Sep 2017
Spectral Mixture Kernels for Multi-Output Gaussian Processes
Spectral Mixture Kernels for Multi-Output Gaussian Processes
Gabriel Parra
Felipe A. Tobar
7
75
0
05 Sep 2017
Adversarial Examples, Uncertainty, and Transfer Testing Robustness in
  Gaussian Process Hybrid Deep Networks
Adversarial Examples, Uncertainty, and Transfer Testing Robustness in Gaussian Process Hybrid Deep Networks
John Bradshaw
A. G. Matthews
Zoubin Ghahramani
BDL
AAML
72
171
0
08 Jul 2017
Identification of Gaussian Process State Space Models
Identification of Gaussian Process State Space Models
Stefanos Eleftheriadis
Tom Nicholson
M. Deisenroth
J. Hensman
32
111
0
30 May 2017
Doubly Stochastic Variational Inference for Deep Gaussian Processes
Doubly Stochastic Variational Inference for Deep Gaussian Processes
Hugh Salimbeni
M. Deisenroth
BDL
GP
48
415
0
24 May 2017
Safe Model-based Reinforcement Learning with Stability Guarantees
Safe Model-based Reinforcement Learning with Stability Guarantees
Felix Berkenkamp
M. Turchetta
Angela P. Schoellig
Andreas Krause
26
838
0
23 May 2017
Streaming Sparse Gaussian Process Approximations
Streaming Sparse Gaussian Process Approximations
T. Bui
Cuong V Nguyen
Richard Turner
24
101
0
19 May 2017
Efficient Learning of Harmonic Priors for Pitch Detection in Polyphonic
  Music
Efficient Learning of Harmonic Priors for Pitch Detection in Polyphonic Music
Pablo A. Alvarado
D. Stowell
21
7
0
19 May 2017
Asynchronous Distributed Variational Gaussian Processes for Regression
Asynchronous Distributed Variational Gaussian Processes for Regression
Hao Peng
Shandian Zhe
Y. Qi
18
29
0
22 Apr 2017
Variational Fourier features for Gaussian processes
Variational Fourier features for Gaussian processes
J. Hensman
N. Durrande
Arno Solin
VLM
26
200
0
21 Nov 2016
Random Feature Expansions for Deep Gaussian Processes
Random Feature Expansions for Deep Gaussian Processes
Kurt Cutajar
Edwin V. Bonilla
Pietro Michiardi
Maurizio Filippone
BDL
18
143
0
14 Oct 2016
Generic Inference in Latent Gaussian Process Models
Generic Inference in Latent Gaussian Process Models
Edwin V. Bonilla
K. Krauth
Amir Dezfouli
BDL
23
28
0
02 Sep 2016
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