Skip to content
conftrace_

sum-product network

56 papers

SPNS SPN

Papers

Sum-Product-Transform Networks: Exploiting Symmetries using Invertible Transformations PGM 2020 Two Reformulation Approaches to Maximum-A-Posteriori Inference in Sum-Product Networks PGM 2020 Bayesian Learning of Sum-Product Networks NeurIPS 2019 Deep Convolutional Sum-Product Networks AAAI 2019 Faster Attend-Infer-Repeat with Tractable Probabilistic Models ICML 2019 Hierarchical Decompositional Mixtures of Variational Autoencoders ICML 2019 Random Sum-Product Networks: A Simple and Effective Approach to Probabilistic Deep Learning UAI 2019 An Empirical Study of Methods for SPN Learning and Inference PGM 2018 Cascading Sum-Product Networks using Robustness PGM 2018 Deep Homogeneous Mixture Models: Representation, Separation, and Approximation NeurIPS 2018 Discriminative Training of Sum-Product Networks by Extended Baum-Welch PGM 2018 Online Structure Learning for Feed-Forward and Recurrent Sum-Product Networks NeurIPS 2018 Prometheus : Directly Learning Acyclic Directed Graph Structures for Sum-Product Networks PGM 2018 StrassenNets: Deep Learning with a Multiplication Budget ICML 2018 Sum-Product-Quotient Networks AISTATS 2018 Linear Time Computation of Moments in Sum-Product Networks NeurIPS 2017 A Unified Approach for Learning the Parameters of Sum-Product Networks NeurIPS 2016 Collapsed Variational Inference for Sum-Product Networks ICML 2016 Dynamic Sum Product Networks for Tractable Inference on Sequence Data PGM 2016 Online Algorithms for Sum-Product Networks with Continuous Variables PGM 2016 Online and Distributed Bayesian Moment Matching for Parameter Learning in Sum-Product Networks AISTATS 2016 The Sum-Product Theorem: A Foundation for Learning Tractable Models ICML 2016 On Theoretical Properties of Sum-Product Networks AISTATS 2015 On the Relationship between Sum-Product Networks and Bayesian Networks ICML 2015 The Libra Toolkit for Probabilistic Models JMLR 2015