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Probabilistic Inference Modulo Theories
v1v2 (latest)

Probabilistic Inference Modulo Theories

26 May 2016
Rodrigo de Salvo Braz
Ciaran O'Reilly
Vibhav Gogate
R. Dechter
    LRM
ArXiv (abs)PDFHTML

Papers citing "Probabilistic Inference Modulo Theories"

7 / 7 papers shown
Title
Collapsed Inference for Bayesian Deep Learning
Collapsed Inference for Bayesian Deep Learning
Zhe Zeng
Guy Van den Broeck
FedMLBDLUQCV
126
9
0
16 Jun 2023
Hybrid Probabilistic Inference with Logical Constraints: Tractability
  and Message Passing
Hybrid Probabilistic Inference with Logical Constraints: Tractability and Message Passing
Zhe Zeng
Fanqi Yan
Paolo Morettin
Antonio Vergari
Guy Van den Broeck
TPM
29
0
0
20 Sep 2019
Efficient Search-Based Weighted Model Integration
Efficient Search-Based Weighted Model Integration
Zhe Zeng
Guy Van den Broeck
TPM
116
24
0
13 Mar 2019
Scaling up Probabilistic Inference in Linear and Non-Linear Hybrid
  Domains by Leveraging Knowledge Compilation
Scaling up Probabilistic Inference in Linear and Non-Linear Hybrid Domains by Leveraging Knowledge Compilation
Anton Fuxjaeger
Vaishak Belle
TPM
15
1
0
29 Nov 2018
Exact Inference for Relational Graphical Models with Interpreted
  Functions: Lifted Probabilistic Inference Modulo Theories
Exact Inference for Relational Graphical Models with Interpreted Functions: Lifted Probabilistic Inference Modulo Theories
Rodrigo de Salvo Braz
Ciaran O'Reilly
TPM
23
7
0
04 Sep 2017
Anytime Exact Belief Propagation
Anytime Exact Belief Propagation
G. A. Ferreira
Quentin Bertrand
Charles Maussion
Rodrigo de Salvo Braz
42
0
0
27 Jul 2017
Approximate Probabilistic Inference via Word-Level Counting
Approximate Probabilistic Inference via Word-Level Counting
Supratik Chakraborty
Kuldeep S. Meel
Rakesh Mistry
Moshe Y. Vardi
TPM
78
59
0
24 Nov 2015
1