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Belief Propagation Neural Networks

Belief Propagation Neural Networks

1 July 2020
Jonathan Kuck
Shuvam Chakraborty
Hao Tang
Rachel Luo
Jiaming Song
Ashish Sabharwal
Stefano Ermon
ArXiv (abs)PDFHTML

Papers citing "Belief Propagation Neural Networks"

30 / 30 papers shown
Transformer-Based Decoding in Concatenated Coding Schemes Under Synchronization Errors
Transformer-Based Decoding in Concatenated Coding Schemes Under Synchronization ErrorsInternational Symposium on Information Theory (ISIT), 2025
Julian Streit
Franziska Weindel
Reinhard Heckel
163
1
0
02 Nov 2025
Attn-JGNN: Attention Enhanced Join-Graph Neural Networks
Attn-JGNN: Attention Enhanced Join-Graph Neural Networks
Jixin Zhang
GNN
296
0
0
17 Oct 2025
Vejde: A Framework for Inductive Deep Reinforcement Learning Based on Factor Graph Color Refinement
Vejde: A Framework for Inductive Deep Reinforcement Learning Based on Factor Graph Color Refinement
Jakob Nyberg
Pontus Johnson
OffRL
191
0
0
11 Sep 2025
Mitigating Attention Localization in Small Scale: Self-Attention Refinement via One-step Belief Propagation
Mitigating Attention Localization in Small Scale: Self-Attention Refinement via One-step Belief Propagation
Nakyung Lee
Yeongoon Kim
Minhae Oh
Suhwan Kim
Jin Woo Koo
Hyewon Jo
Jungwoo Lee
164
3
0
09 Sep 2025
Physics Informed Constrained Learning of Dynamics from Static Data
Physics Informed Constrained Learning of Dynamics from Static Data
Pengtao Dang
Tingbo Guo
Melissa Fishel
Guang Lin
Wenzhuo Wu
Sha Cao
Fangqiu Yi
PINNAI4CE
394
1
0
17 Apr 2025
FG-PE: Factor-graph Approach for Multi-robot Pursuit-Evasion
FG-PE: Factor-graph Approach for Multi-robot Pursuit-EvasionRobotics and Autonomous Systems (RAS), 2024
Messiah Abolfazli Esfahani
Ayşe Başar
Sajad Saeedi
239
0
0
01 Nov 2024
Understanding GNNs for Boolean Satisfiability through Approximation
  Algorithms
Understanding GNNs for Boolean Satisfiability through Approximation AlgorithmsInternational Conference on Information and Knowledge Management (CIKM), 2024
Jan Hůla
David Mojžíšek
Mikoláš Janota
283
7
0
27 Aug 2024
Learning to Solve the Constrained Most Probable Explanation Task in
  Probabilistic Graphical Models
Learning to Solve the Constrained Most Probable Explanation Task in Probabilistic Graphical Models
Shivvrat Arya
Tahrima Rahman
Vibhav Gogate
TPM
301
3
0
17 Apr 2024
Circular Belief Propagation for Approximate Probabilistic Inference
Circular Belief Propagation for Approximate Probabilistic Inference
Vincent Bouttier
R. Jardri
S. Denéve
307
2
0
17 Mar 2024
Joint Entity and Relation Extraction with Span Pruning and Hypergraph
  Neural Networks
Joint Entity and Relation Extraction with Span Pruning and Hypergraph Neural NetworksConference on Empirical Methods in Natural Language Processing (EMNLP), 2023
Zhaohui Yan
Aaron Courville
Wei Liu
Kewei Tu
441
35
0
26 Oct 2023
Classification-Aided Robust Multiple Target Tracking Using Neural
  Enhanced Message Passing
Classification-Aided Robust Multiple Target Tracking Using Neural Enhanced Message PassingIEEE Transactions on Aerospace and Electronic Systems (IEEE T-AES), 2023
Xianglong Bai
Zengfu Wang
Quan Pan
Tao Yun
Hua Lan
216
3
0
19 Oct 2023
Local Message Passing on Frustrated Systems
Local Message Passing on Frustrated SystemsConference on Uncertainty in Artificial Intelligence (UAI), 2023
Luca Schmid
Joshua Brenk
Laurent Schmalen
204
1
0
02 Jun 2023
DNBP: Differentiable Nonparametric Belief Propagation
DNBP: Differentiable Nonparametric Belief PropagationACM / IMS Journal of Data Science (JIDS), 2023
Anthony Opipari
Jana Pavlasek
Chao Chen
Shoutian Wang
Karthik Desingh
Odest Chadwicke Jenkins
259
3
0
08 Mar 2023
Neural Bayesian Network Understudy
Neural Bayesian Network Understudy
Paloma Rabaey
Cedric De Boom
Thomas Demeester
BDLCML
214
0
0
15 Nov 2022
NSNet: A General Neural Probabilistic Framework for Satisfiability
  Problems
NSNet: A General Neural Probabilistic Framework for Satisfiability ProblemsNeural Information Processing Systems (NeurIPS), 2022
Zhaoyu Li
X. Si
BDLNAI
288
20
0
07 Nov 2022
Learning Feasibility of Factored Nonlinear Programs in Robotic
  Manipulation Planning
Learning Feasibility of Factored Nonlinear Programs in Robotic Manipulation PlanningIEEE International Conference on Robotics and Automation (ICRA), 2022
Joaquim Ortiz de Haro
Jung-Su Ha
Danny Driess
E. Karpas
Marc Toussaint
289
2
0
22 Oct 2022
Deep Attentive Belief Propagation: Integrating Reasoning and Learning
  for Solving Constraint Optimization Problems
Deep Attentive Belief Propagation: Integrating Reasoning and Learning for Solving Constraint Optimization ProblemsNeural Information Processing Systems (NeurIPS), 2022
Yanchen Deng
Shufeng Kong
Caihua Liu
Bo An
383
4
0
24 Sep 2022
Graph Neural Networks for Propositional Model Counting
Graph Neural Networks for Propositional Model CountingThe European Symposium on Artificial Neural Networks (ESANN), 2022
Gaia Saveri
Luca Bortolussi
NAILRM
172
3
0
09 May 2022
IBIA: Bayesian Inference via Incremental Build-Infer-Approximate
  operations on Clique Trees
IBIA: Bayesian Inference via Incremental Build-Infer-Approximate operations on Clique Trees
Shivani Bathla
V. Vasudevan
336
2
0
24 Feb 2022
Adversarial Neural Networks for Error Correcting Codes
Adversarial Neural Networks for Error Correcting CodesGlobal Communications Conference (GLOBECOM), 2021
Hung T. Nguyen
S. Bottone
Kwang Taik Kim
M. Chiang
H. Vincent Poor
173
4
0
21 Dec 2021
Neural Belief Propagation for Scene Graph Generation
Neural Belief Propagation for Scene Graph Generation
Daqi Liu
M. Bober
J. Kittler
GNN
243
16
0
10 Dec 2021
Robust Deep Learning from Crowds with Belief Propagation
Robust Deep Learning from Crowds with Belief PropagationInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2021
Hoyoung Kim
Seunghyuk Cho
Dongwoo Kim
Jungseul Ok
FedML
243
1
0
01 Nov 2021
Deep learning via message passing algorithms based on belief propagation
Deep learning via message passing algorithms based on belief propagation
Carlo Lucibello
Fabrizio Pittorino
Gabriele Perugini
R. Zecchina
499
19
0
27 Oct 2021
Unifying AI Algorithms with Probabilistic Programming using Implicitly
  Defined Representations
Unifying AI Algorithms with Probabilistic Programming using Implicitly Defined Representations
Avi Pfeffer
M. Harradon
Joseph Campolongo
S. Cvijic
222
3
0
05 Oct 2021
Equivariant Neural Network for Factor Graphs
Equivariant Neural Network for Factor Graphs
Fan-Yun Sun
Jonathan Kuck
Hao Tang
Stefano Ermon
279
1
0
29 Sep 2021
A visual introduction to Gaussian Belief Propagation
A visual introduction to Gaussian Belief Propagation
Joseph Ortiz
Talfan Evans
Andrew J. Davison
370
46
0
05 Jul 2021
Graph Belief Propagation Networks
Graph Belief Propagation Networks
Junteng Jia
Cenk Baykal
Vamsi K. Potluru
Austin R. Benson
GNN
280
4
0
06 Jun 2021
Relational Reasoning Networks
Relational Reasoning NetworksKnowledge-Based Systems (KBS), 2021
G. Marra
Michelangelo Diligenti
Francesco Giannini
NAI
443
8
0
01 Jun 2021
Partition Function Estimation: A Quantitative Study
Partition Function Estimation: A Quantitative StudyInternational Joint Conference on Artificial Intelligence (IJCAI), 2021
Durgesh Kumar Agrawal
Yash Pote
Kuldeep S. Meel
253
13
0
24 May 2021
Neural Enhanced Belief Propagation on Factor Graphs
Neural Enhanced Belief Propagation on Factor GraphsInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2020
Victor Garcia Satorras
Max Welling
541
109
0
04 Mar 2020
1
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