Scalable Gaussian Process Variational Autoencoders

26 October 2020

Papers citing "Scalable Gaussian Process Variational Autoencoders"

27 / 27 papers shown

Title
Neighbour-Driven Gaussian Process Variational Autoencoders for Scalable Structured Latent Modelling Xinxing Shi Xiaoyu Jiang Mauricio A. Álvarez BDL 70 0 0 22 May 2025
Sparse Gaussian Neural Processes Tommy Rochussen Vincent Fortuin BDL UQCV 98 0 0 02 Apr 2025
On the Challenges and Opportunities in Generative AI Laura Manduchi Kushagra Pandey Robert Bamler Ryan Cotterell Sina Daubener ... F. Wenzel Frank Wood Stephan Mandt Vincent Fortuin Vincent Fortuin 146 18 0 28 Feb 2024
Sparse Gaussian Process Variational Autoencoders Matthew Ashman Jonathan So Will Tebbutt Vincent Fortuin Michael Pearce Richard Turner 76 35 0 20 Oct 2020
Quadruply Stochastic Gaussian Processes Trefor W. Evans P. Nair GP 19 3 0 04 Jun 2020
Decision-Making with Auto-Encoding Variational Bayes Romain Lopez Pierre Boyeau Nir Yosef Michael I. Jordan Jeffrey Regier BDL 236 10,591 0 17 Feb 2020
Mixture-of-Experts Variational Autoencoder for Clustering and Generating from Similarity-Based Representations on Single Cell Data Andreas Kopf Vincent Fortuin Vignesh Ram Somnath Manfred Claassen DRL 33 12 0 17 Oct 2019
GP-VAE: Deep Probabilistic Time Series Imputation Vincent Fortuin Dmitry Baranchuk Gunnar Rätsch Stephan Mandt BDL AI4TS 49 247 0 09 Jul 2019
An Introduction to Variational Autoencoders Diederik P. Kingma Max Welling BDL SSL DRL 66 2,322 0 06 Jun 2019
Rates of Convergence for Sparse Variational Gaussian Process Regression David R. Burt C. Rasmussen Mark van der Wilk 47 152 0 08 Mar 2019
Gaussian Process Prior Variational Autoencoders F. P. Casale Adrian Dalca Luca Saglietti Jennifer Listgarten Nicolò Fusi BDL CML 51 135 0 28 Oct 2018
Taming VAEs Danilo Jimenez Rezende Fabio Viola DRL CML 41 183 0 01 Oct 2018
Scalable Generalized Dynamic Topic Models P. Jähnichen F. Wenzel Marius Kloft Stephan Mandt BDL 59 40 0 21 Mar 2018
Variational Message Passing with Structured Inference Networks Wu Lin Nicolas Hubacher Mohammad Emtiyaz Khan BDL 52 54 0 15 Mar 2018
Disentangled Sequential Autoencoder Yingzhen Li Stephan Mandt CoGe 69 270 0 08 Mar 2018
Inference Suboptimality in Variational Autoencoders Chris Cremer Xuechen Li David Duvenaud DRL BDL 72 281 0 10 Jan 2018
Variational Inference for Gaussian Process Models with Linear Complexity Ching-An Cheng Byron Boots BDL 33 75 0 28 Nov 2017
Advances in Variational Inference Cheng Zhang Judith Butepage Hedvig Kjellström Stephan Mandt BDL 134 684 0 15 Nov 2017
Deep Unsupervised Clustering with Gaussian Mixture Variational Autoencoders Nat Dilokthanakul P. Mediano M. Garnelo M. J. Lee Hugh Salimbeni Kai Arulkumaran Murray Shanahan DRL 54 651 0 08 Nov 2016
Improving Variational Inference with Inverse Autoregressive Flow Diederik P. Kingma Tim Salimans Rafal Jozefowicz Xi Chen Ilya Sutskever Max Welling BDL DRL 88 1,805 0 15 Jun 2016
Composing graphical models with neural networks for structured representations and fast inference Matthew J. Johnson David Duvenaud Alexander B. Wiltschko S. R. Datta Ryan P. Adams BDL OCL 67 483 0 20 Mar 2016
Deep Kernel Learning A. Wilson Zhiting Hu Ruslan Salakhutdinov Eric Xing BDL 195 882 0 06 Nov 2015
Variational Inference with Normalizing Flows Danilo Jimenez Rezende S. Mohamed DRL BDL 262 4,143 0 21 May 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 968 149,474 0 22 Dec 2014
Conditional Generative Adversarial Nets M. Berk Mirza Simon Osindero GAN SyDa AI4CE 212 10,365 0 06 Nov 2014
Gaussian Processes for Big Data J. Hensman Nicolò Fusi Neil D. Lawrence GP 91 1,226 0 26 Sep 2013
Deep Gaussian Processes Andreas C. Damianou Neil D. Lawrence GP BDL 78 1,178 0 02 Nov 2012