Composing graphical models with neural networks for structured representations and fast inference

20 March 2016

Matthew J. Johnson

David Duvenaud

Alexander B. Wiltschko

Papers citing "Composing graphical models with neural networks for structured representations and fast inference"

50 / 96 papers shown

Title
Stability-based Generalization Bounds for Variational Inference Yadi Wei R. Khardon BDL 49 0 0 17 Feb 2025
Diffusion Models for Inverse Problems in the Exponential Family Alessandro Micheli Mélodie Monod Samir Bhatt 66 0 0 09 Feb 2025
SoftVQ-VAE: Efficient 1-Dimensional Continuous Tokenizer Hongyu Chen Zihan Wang Xianrui Li Xingchen Sun Fangyi Chen Jiang Liu Jie Wang Bhiksha Raj Zicheng Liu Emad Barsoum VLM 114 7 0 14 Dec 2024
Gradient-free variational learning with conditional mixture networks Conor Heins Hao Wu Dimitrije Marković Alexander Tschantz Jeff Beck Christopher L. Buckley BDL 31 2 0 29 Aug 2024
A Markov Random Field Multi-Modal Variational AutoEncoder Fouad Oubari M. Baha Raphael Meunier Rodrigue Décatoire Mathilde Mougeot 36 0 0 18 Aug 2024
Variational Inference for Uncertainty Quantification: an Analysis of Trade-offs C. Margossian Loucas Pillaud-Vivien Lawrence K. Saul UD 71 2 0 20 Mar 2024
The VampPrior Mixture Model Andrew Stirn David A. Knowles BDL 34 1 0 06 Feb 2024
Provably Scalable Black-Box Variational Inference with Structured Variational Families Joohwan Ko Kyurae Kim W. Kim Jacob R. Gardner BDL 33 2 0 19 Jan 2024
Denoising Diffusion Variational Inference: Diffusion Models as Expressive Variational Posteriors Wasu Top Piriyakulkij Yingheng Wang Volodymyr Kuleshov DiffM 45 1 0 05 Jan 2024
Entropic Matching for Expectation Propagation of Markov Jump Processes Bastian Alt Heinz Koeppl Heinz Koeppl 34 1 0 27 Sep 2023
Neuro-Causal Factor Analysis Alex Markham Ming Liu Bryon Aragam Liam Solus CML 30 3 0 31 May 2023
Spectral learning of Bernoulli linear dynamical systems models Iris R. Stone Yotam Sagiv Il Memming Park Jonathan W. Pillow 35 1 0 03 Mar 2023
Generative Causal Representation Learning for Out-of-Distribution Motion Forecasting Shayan Shirahmad Gale Bagi Zahra Gharaee Oliver Schulte Mark Crowley OODD OOD 32 12 0 17 Feb 2023
Hub-VAE: Unsupervised Hub-based Regularization of Variational Autoencoders Priya Mani C. Domeniconi BDL SSL DRL 26 1 0 18 Nov 2022
ProbNeRF: Uncertainty-Aware Inference of 3D Shapes from 2D Images Matthew D. Hoffman T. Le Pavel Sountsov Christopher Suter Ben Lee Vikash K. Mansinghka Rif A. Saurous BDL 31 12 0 27 Oct 2022
Unsupervised representation learning with recognition-parametrised probabilistic models William I. Walker Hugo Soulat Changmin Yu M. Sahani BDL 20 2 0 13 Sep 2022
Time Series Clustering with an EM algorithm for Mixtures of Linear Gaussian State Space Models Ryohei Umatani Takashi Imai K. Kawamoto Shutaro Kunimasa AI4TS 32 14 0 25 Aug 2022
Generalized Identifiability Bounds for Mixture Models with Grouped Samples Robert A. Vandermeulen René Saitenmacher 28 2 0 22 Jul 2022
Controllable Data Generation by Deep Learning: A Review Shiyu Wang Yuanqi Du Xiaojie Guo Bo Pan Zhaohui Qin Liang Zhao 33 28 0 19 Jul 2022
Identifiability of deep generative models without auxiliary information Bohdan Kivva Goutham Rajendran Pradeep Ravikumar Bryon Aragam DRL 26 49 0 20 Jun 2022
Emergent Communication through Metropolis-Hastings Naming Game with Deep Generative Models T. Taniguchi Yuto Yoshida Akira Taniguchi Y. Hagiwara MLLM 27 22 0 24 May 2022
Markov Chain Monte Carlo for Continuous-Time Switching Dynamical Systems Lukas Kohs Bastian Alt Heinz Koeppl 19 3 0 18 May 2022
Unsupervised Mismatch Localization in Cross-Modal Sequential Data with Application to Mispronunciations Localization Wei Wei Hengguan Huang Xiangming Gu Hao Wang Ye Wang BDL 27 0 0 05 May 2022
Energy networks for state estimation with random sensors using sparse labels Y. Kumar S. Chakraborty 29 0 0 12 Mar 2022
Deep Learning for Epidemiologists: An Introduction to Neural Networks S. Serghiou K. Rough FedML 24 13 0 02 Feb 2022
Projected Sliced Wasserstein Autoencoder-based Hyperspectral Images Anomaly Detection Yurong Chen Hui Zhang Yaonan Wang Q. M. J. Wu Yimin Yang 22 0 0 20 Dec 2021
Deep Explicit Duration Switching Models for Time Series Abdul Fatir Ansari Konstantinos Benidis Richard Kurle Ali Caner Turkmen Harold Soh Alex Smola Yuyang Wang Tim Januschowski BDL 18 19 0 26 Oct 2021
Introspective Robot Perception using Smoothed Predictions from Bayesian Neural Networks Jianxiang Feng M. Durner Zoltán-Csaba Márton Ferenc Bálint-Benczédi Rudolph Triebel UQCV BDL 13 11 0 27 Sep 2021
Online Unsupervised Learning of Visual Representations and Categories Mengye Ren Tyler R. Scott Michael L. Iuzzolino Michael C. Mozer R. Zemel OCL SSL 35 4 0 13 Sep 2021
Toward a `Standard Model' of Machine Learning Zhiting Hu Eric Xing 37 12 0 17 Aug 2021
On Incorporating Inductive Biases into VAEs Ning Miao Emile Mathieu N. Siddharth Yee Whye Teh Tom Rainforth CML DRL 30 10 0 25 Jun 2021
A Deep Variational Approach to Clustering Survival Data Laura Manduchi Ricards Marcinkevics M. Massi Thomas Weikert Alexander Sauter ... F. Vasella M. Neidert M. Pfister Bram Stieltjes Julia E. Vogt 27 29 0 10 Jun 2021
Lossless compression with state space models using bits back coding James Townsend Iain R. Murray 23 8 0 18 Mar 2021
Unsupervised Learning of Global Factors in Deep Generative Models I. Peis Pablo Martínez Olmos Antonio Artés-Rodríguez BDL DRL 34 8 0 15 Dec 2020
Behavior Priors for Efficient Reinforcement Learning Dhruva Tirumala Alexandre Galashov Hyeonwoo Noh Leonard Hasenclever Razvan Pascanu ... Guillaume Desjardins Wojciech M. Czarnecki Arun Ahuja Yee Whye Teh N. Heess 37 39 0 27 Oct 2020
Scalable Gaussian Process Variational Autoencoders Metod Jazbec Matthew Ashman Vincent Fortuin Michael Pearce Stephan Mandt Gunnar Rätsch DRL BDL 26 25 0 26 Oct 2020
Sparse Gaussian Process Variational Autoencoders Matthew Ashman Jonathan So Will Tebbutt Vincent Fortuin Michael Pearce Richard Turner 29 33 0 20 Oct 2020
Flexible mean field variational inference using mixtures of non-overlapping exponential families J. Spence 22 4 0 14 Oct 2020
Monotone operator equilibrium networks Ezra Winston J. Zico Kolter 32 130 0 15 Jun 2020
Dissimilarity Mixture Autoencoder for Deep Clustering Juan S. Lara Fabio A. González 22 5 0 15 Jun 2020
Deep Structural Causal Models for Tractable Counterfactual Inference Nick Pawlowski Daniel Coelho De Castro Ben Glocker CML MedIm 33 229 0 11 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 27 2 0 28 May 2020
Robust Training of Vector Quantized Bottleneck Models A. Lancucki J. Chorowski Guillaume Sanchez R. Marxer Nanxin Chen Hans J. G. A. Dolfing Sameer Khurana Tanel Alumäe Antoine Laurent 29 58 0 18 May 2020
Posterior Control of Blackbox Generation Xiang Lisa Li Alexander M. Rush 24 25 0 10 May 2020
Unsupervised Lesion Detection via Image Restoration with a Normative Prior Xiaoran Chen Suhang You K. Tezcan E. Konukoglu MedIm 27 135 0 30 Apr 2020
A Survey of Deep Learning for Scientific Discovery M. Raghu Erica Schmidt OOD AI4CE 40 120 0 26 Mar 2020
Neural Enhanced Belief Propagation on Factor Graphs Victor Garcia Satorras Max Welling 30 95 0 04 Mar 2020
Predictive Coding for Locally-Linear Control Rui Shu Tung D. Nguyen Yinlam Chow Tu Pham Khoat Than Mohammad Ghavamzadeh Stefano Ermon Hung Bui OffRL BDL 42 24 0 02 Mar 2020
Amortised Learning by Wake-Sleep W. Li Theodore H. Moskovitz Heishiro Kanagawa M. Sahani OOD 23 7 0 22 Feb 2020
Invertible Gaussian Reparameterization: Revisiting the Gumbel-Softmax Andres Potapczynski G. Loaiza-Ganem John P. Cunningham 32 29 0 19 Dec 2019