Residual Sum-Product Networks

No abstract is available for this paper.

• Publication year

  2020

• Venue

  European Workshop on Probabilistic Graphical Models

• Publication date

  Unknown publication date

• Fields of study

  Mathematics, Computer Science

• Identifiers

  No identifiers available.

• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

• SPFlow: An Easy and Extensible Library for Deep Probabilistic Learning using Sum-Product Networks

  2019influential reference
• Random Sum-Product Networks: A Simple and Effective Approach to Probabilistic Deep Learning

  2019cited by this paper
• Sum-Product Network structure learning by efficient product nodes discovery

  2019cited by this paper
• A hierarchy of sum-product networks using robustness

  2019cited by this paper
• GENERATIVE ADVERSARIAL NETS

  2018cited by this paper
• Mixed Sum-Product Networks: A Deep Architecture for Hybrid Domains

  2018cited by this paper
• Glow: Generative Flow with Invertible 1x1 Convolutions

  2018cited by this paper
• The Lottery Ticket Hypothesis: Finding Sparse, Trainable Neural Networks

  2018cited by this paper
• Fast and Accurate Density Estimation with Extremely Randomized Cutset Networks

  2017cited by this paper
• Learning Deep Latent Gaussian Models with Markov Chain Monte Carlo

  2017cited by this paper
• Poisson Sum-Product Networks: A Deep Architecture for Tractable Multivariate Poisson Distributions

  2017cited by this paper
• Learning the Structure of Probabilistic Sentential Decision Diagrams

  2017cited by this paper
• Merging Strategies for Sum-Product Networks: From Trees to Graphs

  2016cited by this paper
• Residual Networks Behave Like Ensembles of Relatively Shallow Networks

  2016cited by this paper
• Conditional Image Generation with PixelCNN Decoders

  2016cited by this paper
• Sum Product Networks for Activity Recognition

  2016cited by this paper
• Deep Residual Learning for Image Recognition

  2015cited by this paper
• Simplifying, Regularizing and Strengthening Sum-Product Network Structure Learning

  2015cited by this paper
• Modeling speech with sum-product networks: Application to bandwidth extension

  2014cited by this paper
• Learning Sum-Product Networks with Direct and Indirect Variable Interactions

  2014cited by this paper
• Auto-Encoding Variational Bayes

  2013cited by this paper
• Learning the Structure of Sum-Product Networks

  2013influential reference
• Black Box Variational Inference

  2013cited by this paper
• Greedy Part-Wise Learning of Sum-Product Networks

  2013cited by this paper
• Sum-product networks: A new deep architecture

  2011influential reference
• Efficient Principled Learning of Thin Junction Trees

  2007cited by this paper
• Extremely randomized trees

  2006cited by this paper
• Random Forests

  2001cited by this paper

• Deep probabilistic circuits for efficient uncertainty handling in learning systems

  2026cites this paper
• Tractable Representation Learning with Probabilistic Circuits

  2025cites this paper
• Building Expressive and Tractable Probabilistic Generative Models: A Review

  2024cites this paper
• A survey of sum-product networks structural learning

  2023cites this paper
• Sparse Probabilistic Circuits via Pruning and Growing

  2022cites this paper
• Efficient and Reliable Probabilistic Interactive Learning with Structured Outputs

  2022cites this paper
• Whittle Networks: A Deep Likelihood Model for Time Series

  2021cites this paper
• Sum-Product-Attention Networks: Leveraging Self-Attention in Probabilistic Circuits

  2021cites this paper
• Neural Probabilistic Circuits: An Overview

  year unknowncites this paper