Nonnegative spatial factorization

12 October 2021

Papers citing "Nonnegative spatial factorization"

18 / 18 papers shown

Title
Scalable Variational Gaussian Processes via Harmonic Kernel Decomposition Shengyang Sun Jiaxin Shi A. Wilson Roger C. Grosse BDL 31 7 0 10 Jun 2021
A Tutorial on Sparse Gaussian Processes and Variational Inference Felix Leibfried Vincent Dutordoir S. T. John N. Durrande GP 127 51 0 27 Dec 2020
Matérn Gaussian Processes on Graphs Viacheslav Borovitskiy I. Azangulov Alexander Terenin P. Mostowsky M. Deisenroth N. Durrande 51 82 0 29 Oct 2020
Latent variable modeling with random features Gregory W. Gundersen M. Zhang Barbara E. Engelhardt BDL DRL 38 11 0 19 Jun 2020
Matérn Gaussian processes on Riemannian manifolds Viacheslav Borovitskiy Alexander Terenin P. Mostowsky M. Deisenroth 126 123 0 17 Jun 2020
A Framework for Interdomain and Multioutput Gaussian Processes Mark van der Wilk Vincent Dutordoir S. T. John A. Artemev Vincent Adam J. Hensman 100 95 0 02 Mar 2020
Efficient non-conjugate Gaussian process factor models for spike count data using polynomial approximations Stephen L. Keeley D. Zoltowski Yiyi Yu Jacob L. Yates S. L. Smith Jonathan W. Pillow 40 20 0 07 Jun 2019
A joint model of unpaired data from scRNA-seq and spatial transcriptomics for imputing missing gene expression measurements Romain Lopez Achille Nazaret Maxime Langevin Jules Samaran Jeffrey Regier Michael I. Jordan N. Yosef 36 100 0 06 May 2019
PASS-GLM: polynomial approximate sufficient statistics for scalable Bayesian GLM inference Jonathan H. Huggins Ryan P. Adams Tamara Broderick 93 33 0 26 Sep 2017
Doubly Stochastic Variational Inference for Deep Gaussian Processes Hugh Salimbeni M. Deisenroth BDL GP 100 423 0 24 May 2017
Efficient algorithms for Bayesian Nearest Neighbor Gaussian Processes Andrew O. Finley A. Datta B. Cook Douglas C. Morton Hans-Erik Andersen Sudipto Banerjee 147 156 0 01 Feb 2017
Variational Fourier features for Gaussian processes J. Hensman N. Durrande Arno Solin VLM 75 202 0 21 Nov 2016
GPflow: A Gaussian process library using TensorFlow A. G. Matthews Mark van der Wilk T. Nickson Keisuke Fujii A. Boukouvalas Pablo León-Villagrá Zoubin Ghahramani J. Hensman GP 89 665 0 27 Oct 2016
TensorFlow: A system for large-scale machine learning Martín Abadi P. Barham Jianmin Chen Zhiwen Chen Andy Davis ... Vijay Vasudevan Pete Warden Martin Wicke Yuan Yu Xiaoqiang Zhang GNN AI4CE 435 18,361 0 27 May 2016
Variational Latent Gaussian Process for Recovering Single-Trial Dynamics from Population Spike Trains Yuan Zhao Il-Su Park 89 117 0 11 Apr 2016
Variational Inference: A Review for Statisticians David M. Blei A. Kucukelbir Jon D. McAuliffe BDL 349 4,821 0 04 Jan 2016
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 2.2K 150,501 0 22 Dec 2014
Gaussian Processes for Big Data J. Hensman Nicolò Fusi Neil D. Lawrence GP 115 1,237 0 26 Sep 2013