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Bayesian Learning of Sum-Product Networks

26 May 2019

Papers citing "Bayesian Learning of Sum-Product Networks"

26 / 26 papers shown

Title
Probabilistic Graph Circuits: Deep Generative Models for Tractable Probabilistic Inference over Graphs Milan Papez Martin Rektoris Václav Smídl Tomás Pevný TPM 151 0 0 15 Mar 2025
$χ$ SPN: Characteristic Interventional Sum-Product Networks for Causal Inference in Hybrid Domains Harsh Poonia Moritz Willig Zhongjie Yu Matej Zečević Kristian Kersting Devendra Singh Dhami TPM CML 59 2 0 14 Aug 2024
Top-Down Bayesian Posterior Sampling for Sum-Product Networks Soma Yokoi Issei Sato TPM 25 0 0 18 Jun 2024
On Hardware-efficient Inference in Probabilistic Circuits Lingyun Yao Martin Trapp Jelin Leslin Gaurav Singh Peng Zhang Karthekeyan Periasamy M. Andraud TPM 76 0 0 22 May 2024
Soft Learning Probabilistic Circuits Soroush Ghandi Benjamin Quost Cassio de Campos TPM 30 0 0 21 Mar 2024
Probabilistic Circuits with Constraints via Convex Optimization Soroush Ghandi Benjamin Quost Cassio de Campos TPM 51 0 0 19 Mar 2024
Building Expressive and Tractable Probabilistic Generative Models: A Review Sahil Sidheekh S. Natarajan TPM 70 5 0 01 Feb 2024
Generating Likely Counterfactuals Using Sum-Product Networks Jiri Nemecek Tomás Pevný Georgios Korpas TPM 181 0 0 25 Jan 2024
Characteristic Circuits Zhongjie Yu Martin Trapp Kristian Kersting TPM 62 5 0 12 Dec 2023
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 Federico Errica Mathias Niepert TPM 97 5 0 17 May 2023
Bayesian Structure Scores for Probabilistic Circuits Yang Yang G. Gala Robert Peharz TPM 74 7 0 23 Feb 2023
Anomaly Detection using Generative Models and Sum-Product Networks in Mammography Scans Marc Dietrichstein David Major Martin Trapp M. Wimmer Dimitrios Lenis Philip Winter Astrid Berg Theresa Neubauer Katja Bühler MedIm 37 4 0 12 Oct 2022
Recursive Bayesian Networks: Generalising and Unifying Probabilistic Context-Free Grammars and Dynamic Bayesian Networks Robert Lieck M. Rohrmeier BDL 38 5 0 02 Nov 2021
A Taxonomy for Inference in Causal Model Families Matej Zevcević Devendra Singh Dhami Kristian Kersting 76 1 0 22 Oct 2021
Exchangeability-Aware Sum-Product Networks Stefan Lüdtke Christian Bartelt Heiner Stuckenschmidt TPM 35 3 0 11 Oct 2021
Sum-Product-Attention Networks: Leveraging Self-Attention in Probabilistic Circuits Zhongjie Yu Devendra Singh Dhami Kristian Kersting TPM 3DPC LRM 30 0 0 14 Sep 2021
Leveraging Probabilistic Circuits for Nonparametric Multi-Output Regression Zhongjie Yu M. Zhu Martin Trapp Arseny Skryagin Kristian Kersting UQCV TPM 62 15 0 16 Jun 2021
Handling Epistemic and Aleatory Uncertainties in Probabilistic Circuits Federico Cerutti Lance M. Kaplan Angelika Kimmig Murat Sensoy TPM 38 14 0 22 Feb 2021
Interventional Sum-Product Networks: Causal Inference with Tractable Probabilistic Models Matej Zečević Devendra Singh Dhami Athresh Karanam S. Natarajan Kristian Kersting CML TPM 89 33 0 20 Feb 2021
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 57 11 0 18 Nov 2020
Sum-Product-Transform Networks: Exploiting Symmetries using Invertible Transformations Tomás Pevný Václav Smídl Martin Trapp Ondrej Polácek T. Oberhuber TPM 49 8 0 04 May 2020
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 63 126 0 13 Apr 2020
Sum-product networks: A survey I. París Raquel Sánchez-Cauce F. Díez TPM 56 42 0 02 Apr 2020
On the Sample Complexity of Learning Sum-Product Networks Ishaq Aden-Ali H. Ashtiani TPM 71 2 0 05 Dec 2019
Deep Structured Mixtures of Gaussian Processes Martin Trapp Robert Peharz Franz Pernkopf C. Rasmussen GP TPM 77 34 0 10 Oct 2019