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Conditional Sum-Product Networks: Imposing Structure on Deep
  Probabilistic Architectures
v1v2 (latest)

Conditional Sum-Product Networks: Imposing Structure on Deep Probabilistic Architectures

21 May 2019
Xiaoting Shao
Alejandro Molina
Antonio Vergari
Karl Stelzner
Robert Peharz
Thomas Liebig
Kristian Kersting
    BDLTPM
ArXiv (abs)PDFHTML

Papers citing "Conditional Sum-Product Networks: Imposing Structure on Deep Probabilistic Architectures"

21 / 21 papers shown
Title
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
104
12
0
12 Sep 2024
Sum of Squares Circuits
Sum of Squares Circuits
Lorenzo Loconte
Stefan Mengel
Antonio Vergari
TPM
158
9
0
21 Aug 2024
A Unified Framework for Human-Allied Learning of Probabilistic Circuits
A Unified Framework for Human-Allied Learning of Probabilistic Circuits
Athresh Karanam
Saurabh Mathur
Sahil Sidheekh
S. Natarajan
TPM
64
1
0
03 May 2024
Probabilistic Integral Circuits
Probabilistic Integral Circuits
G. Gala
Cassio de Campos
Robert Peharz
Antonio Vergari
Erik Quaeghebeur
TPM
61
3
0
25 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
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
87
18
0
21 Sep 2022
TreeFlow: Going beyond Tree-based Gaussian Probabilistic Regression
TreeFlow: Going beyond Tree-based Gaussian Probabilistic Regression
Patryk Wielopolski
Maciej Ziȩba
UQCV
74
1
0
08 Jun 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
61
83
0
01 Jun 2022
Efficient and Reliable Probabilistic Interactive Learning with
  Structured Outputs
Efficient and Reliable Probabilistic Interactive Learning with Structured Outputs
Stefano Teso
Antonio Vergari
TPM
40
2
0
17 Feb 2022
HyperSPNs: Compact and Expressive Probabilistic Circuits
HyperSPNs: Compact and Expressive Probabilistic Circuits
Andy Shih
Dorsa Sadigh
Stefano Ermon
TPM
108
11
0
02 Dec 2021
Recursive Bayesian Networks: Generalising and Unifying Probabilistic
  Context-Free Grammars and Dynamic Bayesian Networks
Recursive Bayesian Networks: Generalising and Unifying Probabilistic Context-Free Grammars and Dynamic Bayesian Networks
Robert Lieck
M. Rohrmeier
BDL
27
5
0
02 Nov 2021
The Causal Loss: Driving Correlation to Imply Causation
The Causal Loss: Driving Correlation to Imply Causation
Moritz Willig
Matej Zečević
Devendra Singh Dhami
Kristian Kersting
CMLOOD
150
2
0
22 Oct 2021
A Taxonomy for Inference in Causal Model Families
A Taxonomy for Inference in Causal Model Families
Matej Zevcević
Devendra Singh Dhami
Kristian Kersting
71
1
0
22 Oct 2021
Sum-Product-Attention Networks: Leveraging Self-Attention in
  Probabilistic Circuits
Sum-Product-Attention Networks: Leveraging Self-Attention in Probabilistic Circuits
Zhongjie Yu
Devendra Singh Dhami
Kristian Kersting
TPM3DPCLRM
30
0
0
14 Sep 2021
Leveraging Probabilistic Circuits for Nonparametric Multi-Output
  Regression
Leveraging Probabilistic Circuits for Nonparametric Multi-Output Regression
Zhongjie Yu
M. Zhu
Martin Trapp
Arseny Skryagin
Kristian Kersting
UQCVTPM
59
15
0
16 Jun 2021
RECOWNs: Probabilistic Circuits for Trustworthy Time Series Forecasting
RECOWNs: Probabilistic Circuits for Trustworthy Time Series Forecasting
Nils Thoma
Zhongjie Yu
Fabrizio G. Ventola
Kristian Kersting
UQCVTPMAI4TS
27
5
0
08 Jun 2021
Deconvolutional Density Network: Modeling Free-Form Conditional
  Distributions
Deconvolutional Density Network: Modeling Free-Form Conditional Distributions
Bing Chen
Mazharul Islam
Jisuo Gao
Lin Wang
BDLCML
30
7
0
29 May 2021
Interventional Sum-Product Networks: Causal Inference with Tractable
  Probabilistic Models
Interventional Sum-Product Networks: Causal Inference with Tractable Probabilistic Models
Matej Zečević
Devendra Singh Dhami
Athresh Karanam
S. Natarajan
Kristian Kersting
CMLTPM
89
33
0
20 Feb 2021
Neurosymbolic AI: The 3rd Wave
Neurosymbolic AI: The 3rd Wave
Artur Garcez
Luís C. Lamb
NAI
109
314
0
10 Dec 2020
FSPN: A New Class of Probabilistic Graphical Model
FSPN: A New Class of Probabilistic Graphical Model
Ziniu Wu
Rong Zhu
A. Pfadler
Yuxing Han
Jiangneng Li
Zhengping Qian
K. Zeng
Jingren Zhou
TPM
37
11
0
18 Nov 2020
Sum-product networks: A survey
Sum-product networks: A survey
I. París
Raquel Sánchez-Cauce
F. Díez
TPM
40
42
0
02 Apr 2020
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