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Variational Message Passing with Structured Inference Networks

15 March 2018

Wu Lin

Nicolas Hubacher

Mohammad Emtiyaz Khan

BDL

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Papers citing "Variational Message Passing with Structured Inference Networks"

32 / 32 papers shown

Title
Tree-based variational inference for Poisson log-normal models Alexandre Chaussard Anna Bonnet Elisabeth Gassiat Sylvain Le Corff 70 0 0 25 Jun 2024
Importance sampling for online variational learning A. Vasudevan P. Gloaguen Sylvain Le Corff Jimmy Olsson 75 0 0 05 Feb 2024
Variational excess risk bound for general state space models Elisabeth Gassiat Sylvain Le Corff DRL 65 1 0 15 Dec 2023
Amortised Inference in Bayesian Neural Networks Tommy Rochussen UQCV BDL 76 0 0 06 Sep 2023
Exploiting Inferential Structure in Neural Processes Dharmesh Tailor Mohammad Emtiyaz Khan Eric Nalisnick BDL 89 1 0 27 Jun 2023
Unbiased Learning of Deep Generative Models with Structured Discrete Representations H. Bendekgey Gabriel Hope Erik B. Sudderth OCL BDL DRL 63 1 0 14 Jun 2023
Revisiting Structured Variational Autoencoders Yixiu Zhao Scott W. Linderman BDL DRL 59 9 0 25 May 2023
Physics-enhanced Gaussian Process Variational Autoencoder Thomas Beckers Qirui Wu George J. Pappas DRL 75 4 0 15 May 2023
Structured Recognition for Generative Models with Explaining Away Changmin Yu Hugo Soulat Neil Burgess M. Sahani CML BDL 94 3 0 12 Sep 2022
Amortized backward variational inference in nonlinear state-space models Mathis Chagneux Elisabeth Gassiat P. Gloaguen Sylvain Le Corff 63 0 0 01 Jun 2022
Graph-Guided Network for Irregularly Sampled Multivariate Time Series Xiang Zhang M. Zeman Theodoros Tsiligkaridis Marinka Zitnik MLAU AI4TS 113 113 0 11 Oct 2021
Realising Active Inference in Variational Message Passing: the Outcome-blind Certainty Seeker Théophile Champion Marek Grze's Howard L. Bowman 56 1 0 23 Apr 2021
Meta-Learning with Variational Bayes Lucas Lingle BDL OOD 49 0 0 03 Mar 2021
Scalable Gaussian Process Variational Autoencoders Metod Jazbec Matthew Ashman Vincent Fortuin Michael Pearce Stephan Mandt Gunnar Rätsch DRL BDL 89 29 0 26 Oct 2020
Sparse Gaussian Process Variational Autoencoders Matthew Ashman Jonathan So Will Tebbutt Vincent Fortuin Michael Pearce Richard Turner 127 35 0 20 Oct 2020
Variational Mixture of Normalizing Flows Guilherme G. P. Freitas Pires Mário A. T. Figueiredo BDL DRL 61 16 0 01 Sep 2020
Model-based Clustering using Automatic Differentiation: Confronting Misspecification and High-Dimensional Data Siva Rajesh Kasa Vaibhav Rajan 41 0 0 08 Jul 2020
Deep Structural Causal Models for Tractable Counterfactual Inference Nick Pawlowski Daniel Coelho De Castro Ben Glocker CML MedIm 131 243 0 11 Jun 2020
A Convolutional Deep Markov Model for Unsupervised Speech Representation Learning Sameer Khurana Antoine Laurent Wei-Ning Hsu J. Chorowski A. Lancucki R. Marxer James R. Glass SSL BDL 80 29 0 03 Jun 2020
Variational Autoencoder with Embedded Student- $t$ Mixture Model for Authorship Attribution Benedikt T. Boenninghoff Steffen Zeiler R. M. Nickel D. Kolossa BDL DRL 73 2 0 28 May 2020
Amortised Learning by Wake-Sleep W. Li Theodore H. Moskovitz Heishiro Kanagawa M. Sahani OOD 118 7 0 22 Feb 2020
Inference for Network Structure and Dynamics from Time Series Data via Graph Neural Network Mengyuan Chen Jiang Zhang Zhang Zhang Lun Du Qiao Hu Shuo Wang Jiaqi Zhu AI4CE 20 8 0 18 Jan 2020
Continuous Graph Flow Zhiwei Deng Megha Nawhal Lili Meng Greg Mori 56 3 0 07 Aug 2019
Unsupervised Separation of Dynamics from Pixels Silvia Chiappa Ulrich Paquet OCL 57 4 0 20 Jul 2019
Factorized Inference in Deep Markov Models for Incomplete Multimodal Time Series Zhi-Xuan Tan Harold Soh Desmond C. Ong AI4TS 97 29 0 30 May 2019
Correlated Variational Auto-Encoders Da Tang Dawen Liang Tony Jebara Nicholas Ruozzi CML GNN 84 21 0 14 May 2019
Bidirectional Inference Networks: A Class of Deep Bayesian Networks for Health Profiling Hao Wang Chengzhi Mao Hao He Mingmin Zhao Tommi Jaakkola Dina Katabi BDL 135 22 0 06 Feb 2019
A Factorial Mixture Prior for Compositional Deep Generative Models Ulrich Paquet Sumedh Ghaisas O. Tieleman CoGe 37 1 0 18 Dec 2018
Semi-crowdsourced Clustering with Deep Generative Models Yucen Luo Tian Tian Jiaxin Shi Jun Zhu Bo Zhang 52 18 0 29 Oct 2018
The LORACs prior for VAEs: Letting the Trees Speak for the Data Sharad Vikram Matthew D. Hoffman Matthew J. Johnson CML BDL 79 15 0 16 Oct 2018
Graphical Generative Adversarial Networks Chongxuan Li Max Welling Jun Zhu Bo Zhang GAN 54 36 0 10 Apr 2018
Advances in Variational Inference Cheng Zhang Judith Butepage Hedvig Kjellström Stephan Mandt BDL 241 698 0 15 Nov 2017