Sparse Gaussian Process Variational Autoencoders

20 October 2020

Papers citing "Sparse Gaussian Process Variational Autoencoders"

23 / 23 papers shown

Title
Sparse Gaussian Neural Processes Tommy Rochussen Vincent Fortuin BDL UQCV 61 0 0 02 Apr 2025
Pedestrian Trajectory Prediction with Missing Data: Datasets, Imputation, and Benchmarking Pranav Singh Chib Pravendra Singh AI4TS 49 4 0 31 Oct 2024
Latent mixed-effect models for high-dimensional longitudinal data Priscilla Ong Manuel Haußmann Otto Lönnroth Harri Lähdesmäki 22 0 0 17 Sep 2024
Identifiable Feature Learning for Spatial Data with Nonlinear ICA Hermanni Hälvä Jonathan So Richard Turner Aapo Hyvarinen CML 27 2 0 28 Nov 2023
Amortised Inference in Bayesian Neural Networks Tommy Rochussen UQCV BDL 28 0 0 06 Sep 2023
SiBBlInGS: Similarity-driven Building-Block Inference using Graphs across States Noga Mudrik Gal Mishne Adam S. Charles 33 1 0 07 Jun 2023
Physics-enhanced Gaussian Process Variational Autoencoder Thomas Beckers Qirui Wu George J. Pappas DRL 24 4 0 15 May 2023
Autoregressive Conditional Neural Processes W. Bruinsma Stratis Markou James Requiema Andrew Y. K. Foong Tom R. Andersson Anna Vaughan Anthony Buonomo J. S. Hosking Richard Turner BDL UQCV 28 21 0 25 Mar 2023
Fully Bayesian Autoencoders with Latent Sparse Gaussian Processes Ba-Hien Tran Babak Shahbaba Stephan Mandt Maurizio Filippone SyDa BDL UQCV 18 5 0 09 Feb 2023
Unsupervised representation learning with recognition-parametrised probabilistic models William I. Walker Hugo Soulat Changmin Yu M. Sahani BDL 18 2 0 13 Sep 2022
Structured Recognition for Generative Models with Explaining Away Changmin Yu Hugo Soulat Neil Burgess M. Sahani CML BDL 27 3 0 12 Sep 2022
Markovian Gaussian Process Variational Autoencoders Harrison Zhu Carles Balsells Rodas Yingzhen Li BDL AI4TS 38 14 0 12 Jul 2022
CAROL: Confidence-Aware Resilience Model for Edge Federations Shreshth Tuli G. Casale N. Jennings 28 8 0 14 Mar 2022
Learning Multi-Task Gaussian Process Over Heterogeneous Input Domains Haitao Liu Kai Wu Yew-Soon Ong Chao Bian Xiaomo Jiang Xiaofang Wang 19 7 0 25 Feb 2022
SAITS: Self-Attention-based Imputation for Time Series Wenjie Du David Cote Yong-Jin Liu AI4TS 15 230 0 17 Feb 2022
Scalable Multi-Task Gaussian Processes with Neural Embedding of Coregionalization Haitao Liu Jiaqi Ding Xinyu Xie Xiaomo Jiang Yusong Zhao Xiaofang Wang BDL 23 14 0 20 Sep 2021
Combining Pseudo-Point and State Space Approximations for Sum-Separable Gaussian Processes Will Tebbutt Arno Solin Richard Turner 21 8 0 18 Jun 2021
Priors in Bayesian Deep Learning: A Review Vincent Fortuin UQCV BDL 31 124 0 14 May 2021
On Disentanglement in Gaussian Process Variational Autoencoders Simon Bing Vincent Fortuin Gunnar Rätsch CML CoGe BDL DRL 14 9 0 10 Feb 2021
Factorized Gaussian Process Variational Autoencoders Metod Jazbec Michael Pearce Vincent Fortuin BDL DRL 10 7 0 14 Nov 2020
Scalable Gaussian Process Variational Autoencoders Metod Jazbec Matthew Ashman Vincent Fortuin Michael Pearce Stephan Mandt Gunnar Rätsch DRL BDL 16 25 0 26 Oct 2020
Few-shot Learning for Spatial Regression Tomoharu Iwata Yusuke Tanaka 30 11 0 09 Oct 2020
MGP-AttTCN: An Interpretable Machine Learning Model for the Prediction of Sepsis Margherita Rosnati Vincent Fortuin 12 34 0 27 Sep 2019