Co-occurring keywords · papers mentioning both
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