Articles tagged with trac
Neural Concept Formation in Knowledge Graphs
Exact and Efficient Adversarial Robustness with Decomposable Neural Networks
Is Parameter Learning via Weighted Model Integration Tractable?
An Empirical Study on the Generalization Power of Neural Representations Learned via Visual Guessing Games
Tractable Computation of Expected Kernels
JUICE: A Julia Package for Logic and Probabilistic Circuits
Conditional Sum-Product Networks: Modular Probabilistic Circuits via Gate Functions
Strudel: A fast and accurate learner of structured-decomposable probabilistic circuits
Probabilistic Circuits: A Unifying Framework for Tractable Probabilistic Modeling
Handling Missing Data in Decision Trees: A Probabilistic Approach
Einsum Networks: Fast and Scalable Learning of Tractable Probabilistic Circuits
Strudel: Learning Structured-Decomposable Probabilistic Circuits
Mixed sum-product networks: A deep architecture for hybrid domains
Multi-Label Classification with Cutset Networks
Learning Bayesian Random Cutset Forests
Learning Accurate Cutset Networks by Exploiting Decomposability
Simplifying, Regularizing and Strengthening Sum-Product Network Structure Learning