Loopy Belief Propagation for Approximate Inference: An Empirical Study

23 January 2013

Papers citing "Loopy Belief Propagation for Approximate Inference: An Empirical Study"

50 / 78 papers shown

Title
PixRO: Pixel-Distributed Rotational Odometry with Gaussian Belief Propagation Ignacio Alzugaray Riku Murai Andrew J. Davison 35 0 0 14 Jun 2024
The Quantified Boolean Bayesian Network: Theory and Experiments with a Logical Graphical Model Gregory Coppola 19 2 0 09 Feb 2024
Blind Channel Estimation and Joint Symbol Detection with Data-Driven Factor Graphs Luca Schmid Tomer Raviv Nir Shlezinger Laurent Schmalen 33 5 0 23 Jan 2024
Stein Variational Belief Propagation for Multi-Robot Coordination Jana Pavlasek J. Mah Ruihan Xu Odest Chadwicke Jenkins Fabio Ramos 13 2 0 28 Nov 2023
Automating Model Comparison in Factor Graphs Bart Van Erp Wouter W. L. Nuijten T. V. D. Laar Bert De Vries 16 1 0 09 Jun 2023
Learning noisy-OR Bayesian Networks with Max-Product Belief Propagation Antoine Dedieu Guangyao Zhou Dileep George Miguel Lazaro-Gredilla BDL 23 2 0 31 Jan 2023
Belief propagation generalizes backpropagation F. Eaton 3DV AI4CE 8 0 0 02 Oct 2022
CARE: Certifiably Robust Learning with Reasoning via Variational Inference Jiawei Zhang Linyi Li Ce Zhang Bo-wen Li AAML OOD 40 8 0 12 Sep 2022
SOLBP: Second-Order Loopy Belief Propagation for Inference in Uncertain Bayesian Networks Conrad D. Hougen Lance M. Kaplan Magdalena Ivanovska Federico Cerutti Kumar Vijay Mishra Alfred Hero 17 0 0 16 Aug 2022
Efficient fine-grained road segmentation using superpixel-based CNN and CRF models Farnoush Zohourian Jan Siegemund M. Meuter J. Pauli SSeg 11 3 0 22 Jun 2022
Interpreting Graph-based Sybil Detection Methods as Low-Pass Filtering Satoshi Furutani Toshiki Shibahara Mitsuaki Akiyama Masaki Aida AAML 9 2 0 22 Jun 2022
Training and Inference on Any-Order Autoregressive Models the Right Way Andy Shih Dorsa Sadigh Stefano Ermon BDL TPM OOD CML 32 23 0 26 May 2022
Neural Structured Prediction for Inductive Node Classification Meng Qu Huiyu Cai Jian Tang BDL GNN 13 18 0 15 Apr 2022
Nonlocal optimization of binary neural networks Amir Khoshaman Giuseppe Castiglione C. Srinivasa 13 0 0 05 Apr 2022
A Robot Web for Distributed Many-Device Localisation Riku Murai Joseph Ortiz Sajad Saeedi Paul H. J. Kelly Andrew J. Davison 19 24 0 07 Feb 2022
Multi-Resolution Factor Graph Based Stereo Correspondence Algorithm Hanieh Shabanian M. Balasubramanian 3DV 6 1 0 02 Feb 2022
Improved Algorithm for the Network Alignment Problem with Application to Binary Diffing Elie Mengin Fabrice Rossi 14 0 0 31 Dec 2021
Interpretive Blindness Nicholas M. Asher Julie Hunter 9 0 0 19 Oct 2021
Equivariant Neural Network for Factor Graphs Fan-Yun Sun Jonathan Kuck Hao Tang Stefano Ermon 19 1 0 29 Sep 2021
A visual introduction to Gaussian Belief Propagation Joseph Ortiz Talfan Evans Andrew J. Davison 15 32 0 05 Jul 2021
Differentiable Nonparametric Belief Propagation Anthony Opipari Chao Chen Shoutian Wang Jana Pavlasek Karthik Desingh Odest Chadwicke Jenkins 14 5 0 15 Jan 2021
Predicting Infectiousness for Proactive Contact Tracing Yoshua Bengio Prateek Gupta Tegan Maharaj Nasim Rahaman Martin Weiss ... Irina Rish Bernhard Schölkopf Abhinav Sharma Jian Tang Andrew Robert Williams 29 15 0 23 Oct 2020
One Policy to Control Them All: Shared Modular Policies for Agent-Agnostic Control Wenlong Huang Igor Mordatch Deepak Pathak 37 164 0 09 Jul 2020
Multi-marginal optimal transport and probabilistic graphical models Isabel Haasler Rahul Singh Qinsheng Zhang Johan Karlsson Yongxin Chen OT 12 41 0 25 Jun 2020
Neural Enhanced Belief Propagation on Factor Graphs Victor Garcia Satorras Max Welling 27 95 0 04 Mar 2020
Graph Structured Prediction Energy Networks Colin Graber A. Schwing 11 17 0 31 Oct 2019
Fast and Differentiable Message Passing on Pairwise Markov Random Fields Zhiwei Xu Thalaiyasingam Ajanthan Richard I. Hartley 11 0 0 24 Oct 2019
Deep Coordination Graphs Wendelin Bohmer Vitaly Kurin Shimon Whiteson GNN 21 174 0 27 Sep 2019
Curve Fitting from Probabilistic Emissions and Applications to Dynamic Item Response Theory A. Tripathi B. Domingue 23 3 0 09 Sep 2019
Message Passing Attention Networks for Document Understanding Giannis Nikolentzos A. Tixier Michalis Vazirgiannis GNN 30 67 0 17 Aug 2019
The continuous Bernoulli: fixing a pervasive error in variational autoencoders G. Loaiza-Ganem John P. Cunningham DRL 21 83 0 16 Jul 2019
GMNN: Graph Markov Neural Networks Meng Qu Yoshua Bengio Jian Tang BDL GNN 22 288 0 15 May 2019
Visual Semantic Information Pursuit: A Survey Daqi Liu M. Bober J. Kittler 15 31 0 13 Mar 2019
Learning Features of Network Structures Using Graphlets Kun Tu Jian Li Don Towsley Dave Braines Liam D. Turner GNN 13 2 0 13 Dec 2018
Pull Message Passing for Nonparametric Belief Propagation Karthik Desingh Anthony Opipari Odest Chadwicke Jenkins 11 3 0 27 Jul 2018
Learning and Matching Multi-View Descriptors for Registration of Point Clouds Lei Zhou Siyu Zhu Zixin Luo Tianwei Shen Runze Zhang Mingmin Zhen Tian Fang Long Quan 3DV 3DPC 19 48 0 16 Jul 2018
Approximate Knowledge Compilation by Online Collapsed Importance Sampling Tal Friedman Guy Van den Broeck 14 17 0 31 May 2018
SybilFuse: Combining Local Attributes with Global Structure to Perform Robust Sybil Detection Peng Gao Binghui Wang Neil Zhenqiang Gong Sanjeev R. Kulkarni Kurt Thomas Prateek Mittal AAML 13 49 0 19 Mar 2018
Recurrent Relational Networks Rasmus Berg Palm Ulrich Paquet Ole Winther GNN ReLM NAI 44 139 0 21 Nov 2017
Advances in Variational Inference Cheng Zhang Judith Butepage Hedvig Kjellström Stephan Mandt BDL 38 684 0 15 Nov 2017
Representation Learning on Graphs: Methods and Applications William L. Hamilton Rex Ying J. Leskovec GNN 29 1,965 0 17 Sep 2017
Deep Value Networks Learn to Evaluate and Iteratively Refine Structured Outputs Michael Gygli Mohammad Norouzi A. Angelova TDI 16 68 0 13 Mar 2017
Survey on Models and Techniques for Root-Cause Analysis Marc Solé V. Muntés-Mulero Annie Ibrahim Rana G. Estrada 10 93 0 30 Jan 2017
Multi-way Particle Swarm Fusion Chen Liu Hang Yan Pushmeet Kohli Yasutaka Furukawa 13 0 0 05 Dec 2016
Convergence Analysis of Distributed Inference with Vector-Valued Gaussian Belief Propagation Jian Du Shaodan Ma Yik-Chung Wu S. Kar José M. F. Moura 16 60 0 07 Nov 2016
Multiple scan data association by convex variational inference Jason L. Williams Roslyn A. Lau 9 28 0 27 Jul 2016
Scene Grammars, Factor Graphs, and Belief Propagation Jeroen Chua Pedro F. Felzenszwalb 3DV 13 9 0 03 Jun 2016
Fixed Points of Belief Propagation -- An Analysis via Polynomial Homotopy Continuation Christian Knoll Franz Pernkopf D. Mehta Tianran Chen 19 17 0 20 May 2016
Discriminative Embeddings of Latent Variable Models for Structured Data H. Dai Bo Dai Le Song BDL 12 693 0 17 Mar 2016
Principled Parallel Mean-Field Inference for Discrete Random Fields Pierre Baqué Timur M. Bagautdinov F. Fleuret Pascal Fua FedML 10 25 0 19 Nov 2015