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On the Latent Variable Interpretation in Sum-Product Networks
v1v2 (latest)

On the Latent Variable Interpretation in Sum-Product Networks

22 January 2016
Robert Peharz
Robert Gens
Franz Pernkopf
Pedro M. Domingos
    TPM
ArXiv (abs)PDFHTML

Papers citing "On the Latent Variable Interpretation in Sum-Product Networks"

44 / 44 papers shown
Title
Scaling Probabilistic Circuits via Monarch Matrices
Scaling Probabilistic Circuits via Monarch Matrices
Honghua Zhang
Meihua Dang
Benjie Wang
Stefano Ermon
Nanyun Peng
Guy Van den Broeck
TPMMoE
54
2
0
14 Jun 2025
What is the Relationship between Tensor Factorizations and Circuits (and How Can We Exploit it)?
What is the Relationship between Tensor Factorizations and Circuits (and How Can We Exploit it)?
Lorenzo Loconte
Antonio Mari
G. Gala
Robert Peharz
Cassio de Campos
Erik Quaeghebeur
G. Vessio
Antonio Vergari
110
12
0
12 Sep 2024
Sum of Squares Circuits
Sum of Squares Circuits
Lorenzo Loconte
Stefan Mengel
Antonio Vergari
TPM
173
9
0
21 Aug 2024
On the Relationship Between Monotone and Squared Probabilistic Circuits
On the Relationship Between Monotone and Squared Probabilistic Circuits
Benjie Wang
Guy Van den Broeck
TPM
135
7
0
01 Aug 2024
Scaling Continuous Latent Variable Models as Probabilistic Integral Circuits
Scaling Continuous Latent Variable Models as Probabilistic Integral Circuits
G. Gala
Cassio de Campos
Antonio Vergari
Erik Quaeghebeur
TPM
137
5
0
10 Jun 2024
A Tractable Inference Perspective of Offline RL
A Tractable Inference Perspective of Offline RL
Xuejie Liu
Hoang Trung-Dung
Guy Van den Broeck
Yitao Liang
OffRL
133
1
0
31 Oct 2023
Tractable Probabilistic Graph Representation Learning with Graph-Induced
  Sum-Product Networks
Tractable Probabilistic Graph Representation Learning with Graph-Induced Sum-Product Networks
Federico Errica
Mathias Niepert
TPM
97
5
0
17 May 2023
Bayesian Structure Scores for Probabilistic Circuits
Bayesian Structure Scores for Probabilistic Circuits
Yang Yang
G. Gala
Robert Peharz
TPM
79
7
0
23 Feb 2023
Understanding the Distillation Process from Deep Generative Models to
  Tractable Probabilistic Circuits
Understanding the Distillation Process from Deep Generative Models to Tractable Probabilistic Circuits
Xuejie Liu
Hoang Trung-Dung
Guy Van den Broeck
Yitao Liang
TPM
88
14
0
16 Feb 2023
Treatment-RSPN: Recurrent Sum-Product Networks for Sequential Treatment
  Regimes
Treatment-RSPN: Recurrent Sum-Product Networks for Sequential Treatment Regimes
Adam Dejl
Harsh Deep
Jonathan Fei
A. Saeedi
Li-wei H. Lehman
TPM
46
1
0
14 Nov 2022
Scaling Up Probabilistic Circuits by Latent Variable Distillation
Scaling Up Probabilistic Circuits by Latent Variable Distillation
Hoang Trung-Dung
Honghua Zhang
Guy Van den Broeck
TPM
71
27
0
10 Oct 2022
Continuous Mixtures of Tractable Probabilistic Models
Continuous Mixtures of Tractable Probabilistic Models
Alvaro H. C. Correia
G. Gala
Erik Quaeghebeur
Cassio de Campos
Robert Peharz
TPM
96
18
0
21 Sep 2022
Semantic Probabilistic Layers for Neuro-Symbolic Learning
Semantic Probabilistic Layers for Neuro-Symbolic Learning
Kareem Ahmed
Stefano Teso
Kai-Wei Chang
Guy Van den Broeck
Antonio Vergari
TPM
62
83
0
01 Jun 2022
Tractable Boolean and Arithmetic Circuits
Tractable Boolean and Arithmetic Circuits
Adnan Darwiche
TPM
81
13
0
07 Feb 2022
Explaining Deep Tractable Probabilistic Models: The sum-product network
  case
Explaining Deep Tractable Probabilistic Models: The sum-product network case
Athresh Karanam
Saurabh Mathur
P. Radivojac
David M. Haas
Kristian Kersting
Sriraam Natarajan
FAttTPMLRM
137
2
0
19 Oct 2021
Tractable Regularization of Probabilistic Circuits
Tractable Regularization of Probabilistic Circuits
Hoang Trung-Dung
Guy Van den Broeck
TPM
82
33
0
04 Jun 2021
BayesCard: Revitilizing Bayesian Frameworks for Cardinality Estimation
BayesCard: Revitilizing Bayesian Frameworks for Cardinality Estimation
Ziniu Wu
Amir Shaikhha
Rong Zhu
Kai Zeng
Yuxing Han
Jingren Zhou
BDL
57
27
0
29 Dec 2020
Probabilistic Circuits for Variational Inference in Discrete Graphical
  Models
Probabilistic Circuits for Variational Inference in Discrete Graphical Models
Andy Shih
Stefano Ermon
TPM
65
22
0
22 Oct 2020
Tractable Inference in Credal Sentential Decision Diagrams
Tractable Inference in Credal Sentential Decision Diagrams
Lilith Mattei
Alessandro Antonucci
Denis Deratani Mauá
Alessandro Facchini
Julissa Giuliana Villanueva Llerena
TPM
6
10
0
19 Aug 2020
Einsum Networks: Fast and Scalable Learning of Tractable Probabilistic
  Circuits
Einsum Networks: Fast and Scalable Learning of Tractable Probabilistic Circuits
Robert Peharz
Steven Braun
Antonio Vergari
Karl Stelzner
Alejandro Molina
Martin Trapp
Guy Van den Broeck
Kristian Kersting
Zoubin Ghahramani
TPM
65
126
0
13 Apr 2020
Sum-product networks: A survey
Sum-product networks: A survey
I. París
Raquel Sánchez-Cauce
F. Díez
TPM
56
42
0
02 Apr 2020
Interventions and Counterfactuals in Tractable Probabilistic Models:
  Limitations of Contemporary Transformations
Interventions and Counterfactuals in Tractable Probabilistic Models: Limitations of Contemporary Transformations
I. Papantonis
Vaishak Belle
TPM
54
7
0
29 Jan 2020
Sum-Product Network Decompilation
Sum-Product Network Decompilation
C. Butz
Jhonatan de S. Oliveira
Robert Peharz
TPM
44
10
0
20 Dec 2019
Advances in Machine Learning for the Behavioral Sciences
Advances in Machine Learning for the Behavioral Sciences
Tomáš Kliegr
Š. Bahník
Johannes Furnkranz
43
14
0
08 Nov 2019
Deep Structured Mixtures of Gaussian Processes
Deep Structured Mixtures of Gaussian Processes
Martin Trapp
Robert Peharz
Franz Pernkopf
C. Rasmussen
GPTPM
77
34
0
10 Oct 2019
Bayesian Learning of Sum-Product Networks
Bayesian Learning of Sum-Product Networks
Martin Trapp
Robert Peharz
Hong Ge
Franz Pernkopf
Zoubin Ghahramani
TPM
117
51
0
26 May 2019
Conditional Sum-Product Networks: Imposing Structure on Deep
  Probabilistic Architectures
Conditional Sum-Product Networks: Imposing Structure on Deep Probabilistic Architectures
Xiaoting Shao
Alejandro Molina
Antonio Vergari
Karl Stelzner
Robert Peharz
Thomas Liebig
Kristian Kersting
BDLTPM
85
35
0
21 May 2019
Optimisation of Overparametrized Sum-Product Networks
Optimisation of Overparametrized Sum-Product Networks
Martin Trapp
Robert Peharz
Franz Pernkopf
TPM
53
4
0
20 May 2019
SPFlow: An Easy and Extensible Library for Deep Probabilistic Learning
  using Sum-Product Networks
SPFlow: An Easy and Extensible Library for Deep Probabilistic Learning using Sum-Product Networks
Alejandro Molina
Antonio Vergari
Karl Stelzner
Robert Peharz
P. Subramani
Nicola Di Mauro
Pascal Poupart
Kristian Kersting
TPM
60
60
0
11 Jan 2019
From Pixels to Buildings: End-to-end Probabilistic Deep Networks for
  Large-scale Semantic Mapping
From Pixels to Buildings: End-to-end Probabilistic Deep Networks for Large-scale Semantic Mapping
Kaiyu Zheng
Andrzej Pronobis
3DPC
124
19
0
31 Dec 2018
Deep Compression of Sum-Product Networks on Tensor Networks
Deep Compression of Sum-Product Networks on Tensor Networks
Ching-Yun Ko
Cong Chen
Yuke Zhang
Kim Batselier
Ngai Wong
TPM
52
2
0
09 Nov 2018
Learning Tractable Probabilistic Models for Moral Responsibility and
  Blame
Learning Tractable Probabilistic Models for Moral Responsibility and Blame
Lewis Hammond
Vaishak Belle
50
4
0
08 Oct 2018
Automatic Bayesian Density Analysis
Automatic Bayesian Density Analysis
Antonio Vergari
Alejandro Molina
Robert Peharz
Zoubin Ghahramani
Kristian Kersting
Isabel Valera
53
35
0
24 Jul 2018
Sum-Product Networks for Sequence Labeling
Sum-Product Networks for Sequence Labeling
Martin Ratajczak
Sebastian Tschiatschek
Franz Pernkopf
TPMNoLa
17
5
0
06 Jul 2018
Probabilistic Deep Learning using Random Sum-Product Networks
Probabilistic Deep Learning using Random Sum-Product Networks
Robert Peharz
Antonio Vergari
Karl Stelzner
Alejandro Molina
Martin Trapp
Kristian Kersting
Zoubin Ghahramani
UQCVBDLTPM
48
29
0
05 Jun 2018
On Cognitive Preferences and the Plausibility of Rule-based Models
On Cognitive Preferences and the Plausibility of Rule-based Models
Johannes Furnkranz
Tomáš Kliegr
Heiko Paulheim
LRM
84
71
0
04 Mar 2018
Safe Semi-Supervised Learning of Sum-Product Networks
Safe Semi-Supervised Learning of Sum-Product Networks
Martin Trapp
Tamas Madl
Robert Peharz
Franz Pernkopf
R. Trappl
TPM
66
14
0
10 Oct 2017
On Relaxing Determinism in Arithmetic Circuits
On Relaxing Determinism in Arithmetic Circuits
Arthur Choi
Adnan Darwiche
67
57
0
22 Aug 2017
Sum-Product Graphical Models
Sum-Product Graphical Models
Mattia Desana
Christoph Schnörr
TPM
60
6
0
21 Aug 2017
Maximum A Posteriori Inference in Sum-Product Networks
Maximum A Posteriori Inference in Sum-Product Networks
Jun-Feng Mei
Yong Jiang
Kewei Tu
TPM
67
23
0
16 Aug 2017
Approximation Complexity of Maximum A Posteriori Inference in
  Sum-Product Networks
Approximation Complexity of Maximum A Posteriori Inference in Sum-Product Networks
Diarmaid Conaty
Denis Deratani Mauá
Cassio P. de Campos
TPM
49
29
0
17 Mar 2017
Linear Time Computation of Moments in Sum-Product Networks
Linear Time Computation of Moments in Sum-Product Networks
Haiying Zhao
Geoffrey J. Gordon
TPM
49
1
0
15 Feb 2017
Learning Deep Generative Spatial Models for Mobile Robots
Learning Deep Generative Spatial Models for Mobile Robots
Andrzej Pronobis
Rajesh P. N. Rao
GAN
44
41
0
09 Oct 2016
Visualizing and Understanding Sum-Product Networks
Visualizing and Understanding Sum-Product Networks
Antonio Vergari
Nicola Di Mauro
F. Esposito
FAttAAMLTPM
115
45
0
29 Aug 2016
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