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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
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Papers citing "Belief Propagation Neural Networks"

14 / 14 papers shown
Title
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
Chi Zhang
PINN
AI4CE
56
0
0
17 Apr 2025
Circular Belief Propagation for Approximate Probabilistic Inference
Circular Belief Propagation for Approximate Probabilistic Inference
Vincent Bouttier
R. Jardri
S. Denéve
27
0
0
17 Mar 2024
Neural Bayesian Network Understudy
Neural Bayesian Network Understudy
Paloma Rabaey
Cedric De Boom
Thomas Demeester
BDL
CML
33
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
17
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
27
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
24
4
0
24 Sep 2022
Graph Neural Networks for Propositional Model Counting
Graph Neural Networks for Propositional Model Counting
Gaia Saveri
Luca Bortolussi
NAI
LRM
21
2
0
09 May 2022
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
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
24
2
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
27
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
15
32
0
05 Jul 2021
Relational Reasoning Networks
Relational Reasoning Networks
G. Marra
Michelangelo Diligenti
Francesco Giannini
NAI
29
4
0
01 Jun 2021
Partition Function Estimation: A Quantitative Study
Partition Function Estimation: A Quantitative Study
Durgesh Kumar Agrawal
Yash Pote
Kuldeep S. Meel
28
11
0
24 May 2021
Neural Enhanced Belief Propagation on Factor Graphs
Neural Enhanced Belief Propagation on Factor Graphs
Victor Garcia Satorras
Max Welling
30
95
0
04 Mar 2020
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