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Neural Enhanced Belief Propagation on Factor Graphs

Neural Enhanced Belief Propagation on Factor Graphs

4 March 2020
Victor Garcia Satorras
Max Welling
ArXivPDFHTML

Papers citing "Neural Enhanced Belief Propagation on Factor Graphs"

50 / 57 papers shown
Title
Decoding Quantum LDPC Codes Using Graph Neural Networks
Decoding Quantum LDPC Codes Using Graph Neural Networks
Vukan Ninkovic
O. Kundacina
D. Vukobratović
Christian Hager
Alexandre Graell i Amat
GNN
31
3
0
09 Aug 2024
Differentiable Cluster Graph Neural Network
Differentiable Cluster Graph Neural Network
Yanfei Dong
Mohammed Haroon Dupty
Lambert Deng
Zhuanghua Liu
Yong Liang Goh
Wee Sun Lee
GNN
34
1
0
25 May 2024
DNA: Differentially private Neural Augmentation for contact tracing
DNA: Differentially private Neural Augmentation for contact tracing
Rob Romijnders
Christos Louizos
Yuki M. Asano
Max Welling
FedML
29
0
0
20 Apr 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
29
2
0
17 Apr 2024
Constrained Layout Generation with Factor Graphs
Constrained Layout Generation with Factor Graphs
Mohammed Haroon Dupty
Yanfei Dong
Sicong Leng
Guoji Fu
Yong Liang Goh
Wei Lu
Wee Sun Lee
3DV
42
4
0
30 Mar 2024
Circular Belief Propagation for Approximate Probabilistic Inference
Circular Belief Propagation for Approximate Probabilistic Inference
Vincent Bouttier
R. Jardri
S. Denéve
25
0
0
17 Mar 2024
Learning in Deep Factor Graphs with Gaussian Belief Propagation
Learning in Deep Factor Graphs with Gaussian Belief Propagation
Seth Nabarro
Mark van der Wilk
Andrew J Davison
BDL
25
0
0
24 Nov 2023
Joint Entity and Relation Extraction with Span Pruning and Hypergraph
  Neural Networks
Joint Entity and Relation Extraction with Span Pruning and Hypergraph Neural Networks
Zhaohui Yan
Songlin Yang
Wei Liu
Kewei Tu
22
10
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 Passing
Xianglong Bai
Zengfu Wang
Quan Pan
Tao Yun
Hua Lan
21
1
0
19 Oct 2023
Offline Tracking with Object Permanence
Offline Tracking with Object Permanence
Xianzhong Liu
Holger Caesar
OffRL
VOT
18
1
0
02 Oct 2023
Multi-Instance Adversarial Attack on GNN-Based Malicious Domain
  Detection
Multi-Instance Adversarial Attack on GNN-Based Malicious Domain Detection
Mahmoud Nazzal
Issa M. Khalil
Abdallah Khreishah
Nhathai Phan
Yao Ma
AAML
26
1
0
22 Aug 2023
Factor Graph Neural Networks
Factor Graph Neural Networks
Zhen Zhang
Mohammed Haroon Dupty
Fan Wu
Javen Qinfeng Shi
Fan Wu
AI4CE
30
39
0
02 Aug 2023
Local Message Passing on Frustrated Systems
Local Message Passing on Frustrated Systems
Luca Schmid
Joshua Brenk
Laurent Schmalen
22
1
0
02 Jun 2023
Generalization Bounds for Neural Belief Propagation Decoders
Generalization Bounds for Neural Belief Propagation Decoders
S. Adiga
Xin Xiao
Ravi Tandon
Bane V. Vasic
Tamal Bose
BDL
AI4CE
22
4
0
17 May 2023
Graph Neural Networks on Factor Graphs for Robust, Fast, and Scalable
  Linear State Estimation with PMUs
Graph Neural Networks on Factor Graphs for Robust, Fast, and Scalable Linear State Estimation with PMUs
O. Kundacina
M. Cosovic
D. Mišković
D. Vukobratović
16
8
0
28 Apr 2023
The END: An Equivariant Neural Decoder for Quantum Error Correction
The END: An Equivariant Neural Decoder for Quantum Error Correction
Evgenii Egorov
Roberto Bondesan
Max Welling
11
5
0
14 Apr 2023
Deep Graph Unfolding for Beamforming in MU-MIMO Interference Networks
Deep Graph Unfolding for Beamforming in MU-MIMO Interference Networks
Arindam Chowdhury
Gunjan Verma
A. Swami
Santiago Segarra
15
13
0
02 Apr 2023
DNBP: Differentiable Nonparametric Belief Propagation
DNBP: Differentiable Nonparametric Belief Propagation
Anthony Opipari
Jana Pavlasek
Chao Chen
Shoutian Wang
Karthik Desingh
Odest Chadwicke Jenkins
11
3
0
08 Mar 2023
Message Passing Meets Graph Neural Networks: A New Paradigm for Massive
  MIMO Systems
Message Passing Meets Graph Neural Networks: A New Paradigm for Massive MIMO Systems
Hengtao He
Xianghao Yu
Jun Zhang
Shenghui Song
Khaled B. Letaief
30
16
0
14 Feb 2023
Exact Fractional Inference via Re-Parametrization & Interpolation
  between Tree-Re-Weighted- and Belief Propagation- Algorithms
Exact Fractional Inference via Re-Parametrization & Interpolation between Tree-Re-Weighted- and Belief Propagation- Algorithms
Hamidreza Behjoo
Michael Chertkov
6
1
0
25 Jan 2023
Neural Enhanced Belief Propagation for Multiobject Tracking
Neural Enhanced Belief Propagation for Multiobject Tracking
Mingchao Liang
Florian Meyer
VOT
33
25
0
16 Dec 2022
Neural Bayesian Network Understudy
Neural Bayesian Network Understudy
Paloma Rabaey
Cedric De Boom
Thomas Demeester
BDL
CML
30
0
0
15 Nov 2022
NSNet: A General Neural Probabilistic Framework for Satisfiability
  Problems
NSNet: A General Neural Probabilistic Framework for Satisfiability Problems
Zhaoyu Li
X. Si
BDL
NAI
9
10
0
07 Nov 2022
Learning Feasibility of Factored Nonlinear Programs in Robotic
  Manipulation Planning
Learning Feasibility of Factored Nonlinear Programs in Robotic Manipulation Planning
Joaquim Ortiz de Haro
Jung-Su Ha
Danny Driess
E. Karpas
Marc Toussaint
24
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 Problems
Yanchen Deng
Shufeng Kong
Caihua Liu
Bo An
11
4
0
24 Sep 2022
Towards Better Generalization with Flexible Representation of
  Multi-Module Graph Neural Networks
Towards Better Generalization with Flexible Representation of Multi-Module Graph Neural Networks
Hyungeun Lee
Kijung Yoon
AI4CE
25
2
0
14 Sep 2022
Graph Neural Networks for Channel Decoding
Graph Neural Networks for Channel Decoding
Sebastian Cammerer
J. Hoydis
Fayçal Ait Aoudia
Alexander Keller
GNN
27
27
0
29 Jul 2022
Robust and Fast Data-Driven Power System State Estimator Using Graph
  Neural Networks
Robust and Fast Data-Driven Power System State Estimator Using Graph Neural Networks
O. Kundacina
M. Cosovic
D. Vukobratović
19
1
0
06 Jun 2022
Loop Closure Prioritization for Efficient and Scalable Multi-Robot SLAM
Loop Closure Prioritization for Efficient and Scalable Multi-Robot SLAM
Chris Denniston
Yun Chang
Andrzej Reinke
K. Ebadi
Gaurav Sukhatme
Luca Carlone
B. Morrell
Ali-akbar Agha-mohammadi
41
25
0
24 May 2022
Graph Neural Networks Intersect Probabilistic Graphical Models: A Survey
Graph Neural Networks Intersect Probabilistic Graphical Models: A Survey
Chenqing Hua
Sitao Luan
Qian Zhang
Jie Fu
15
6
0
24 May 2022
Neural Structured Prediction for Inductive Node Classification
Neural Structured Prediction for Inductive Node Classification
Meng Qu
Huiyu Cai
Jian Tang
BDL
GNN
13
18
0
15 Apr 2022
Low-complexity Near-optimum Symbol Detection Based on Neural Enhancement
  of Factor Graphs
Low-complexity Near-optimum Symbol Detection Based on Neural Enhancement of Factor Graphs
Luca Schmid
Laurent Schmalen
22
11
0
30 Mar 2022
Graph Neural Networks for Wireless Communications: From Theory to
  Practice
Graph Neural Networks for Wireless Communications: From Theory to Practice
Yifei Shen
Jun Zhang
Shenghui Song
Khaled B. Letaief
GNN
AI4CE
25
110
0
21 Mar 2022
Neural Enhanced Belief Propagation for Data Association in Multiobject
  Tracking
Neural Enhanced Belief Propagation for Data Association in Multiobject Tracking
Mingchao Liang
Florian Meyer
VOT
11
13
0
17 Mar 2022
Neural Enhancement of Factor Graph-based Symbol Detection
Neural Enhancement of Factor Graph-based Symbol Detection
Luca Schmid
Laurent Schmalen
25
4
0
07 Mar 2022
Discrete and continuous representations and processing in deep learning:
  Looking forward
Discrete and continuous representations and processing in deep learning: Looking forward
Ruben Cartuyvels
Graham Spinks
Marie-Francine Moens
OCL
30
20
0
04 Jan 2022
Adversarial Neural Networks for Error Correcting Codes
Adversarial Neural Networks for Error Correcting Codes
Hung T. Nguyen
S. Bottone
Kwang Taik Kim
M. Chiang
H. Vincent Poor
12
3
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
19
8
0
10 Dec 2021
Differentiable Spatial Planning using Transformers
Differentiable Spatial Planning using Transformers
Devendra Singh Chaplot
Deepak Pathak
Jitendra Malik
19
37
0
02 Dec 2021
Robust Deep Learning from Crowds with Belief Propagation
Robust Deep Learning from Crowds with Belief Propagation
Hoyoung Kim
Seunghyuk Cho
Dongwoo Kim
Jungseul Ok
FedML
24
0
0
01 Nov 2021
Deep learning via message passing algorithms based on belief propagation
Deep learning via message passing algorithms based on belief propagation
C. Lucibello
Fabrizio Pittorino
Gabriele Perugini
R. Zecchina
40
14
0
27 Oct 2021
Multi-Agent MDP Homomorphic Networks
Multi-Agent MDP Homomorphic Networks
Elise van der Pol
H. V. Hoof
F. Oliehoek
Max Welling
AI4CE
46
28
0
09 Oct 2021
Equivariant Neural Network for Factor Graphs
Equivariant Neural Network for Factor Graphs
Fan-Yun Sun
Jonathan Kuck
Hao Tang
Stefano Ermon
17
1
0
29 Sep 2021
Generalization of graph network inferences in higher-order graphical
  models
Generalization of graph network inferences in higher-order graphical models
Yicheng Fei
Xaq Pitkow
16
0
0
12 Jul 2021
A visual introduction to Gaussian Belief Propagation
A visual introduction to Gaussian Belief Propagation
Joseph Ortiz
Talfan Evans
Andrew J. Davison
13
32
0
05 Jul 2021
Relational Reasoning Networks
Relational Reasoning Networks
G. Marra
Michelangelo Diligenti
Francesco Giannini
NAI
29
4
0
01 Jun 2021
Neural Enhanced Belief Propagation for Cooperative Localization
Neural Enhanced Belief Propagation for Cooperative Localization
Mingchao Liang
Florian Meyer
14
18
0
27 May 2021
Modeling Graph Node Correlations with Neighbor Mixture Models
Modeling Graph Node Correlations with Neighbor Mixture Models
Linfeng Liu
Michael Hughes
Liping Liu
23
0
0
29 Mar 2021
Autoregressive Belief Propagation for Decoding Block Codes
Autoregressive Belief Propagation for Decoding Block Codes
Eliya Nachmani
Lior Wolf
14
12
0
23 Jan 2021
Model-Based Deep Learning
Model-Based Deep Learning
Nir Shlezinger
Jay Whang
Yonina C. Eldar
A. Dimakis
26
315
0
15 Dec 2020
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