6 citations · 7 across the 6 of their papers we have counts for
6 papers
Towards conservative inference in credal networks using belief functions: the case of credal chains
Marco Sangalli, Thomas Krak, Cassio de Campos
This paper explores belief inference in credal networks using Dempster-Shafer theory. By building on previous work, we propose a novel framework for propagating uncertainty through…
What is the Relationship between Tensor Factorizations and Circuits (and How Can We Exploit it)?
Lorenzo Loconte, Antonio Mari, Gennaro Gala +5
This paper establishes a rigorous connection between circuit representations and tensor factorizations, two seemingly distinct yet fundamentally related areas. By connecting these…
Scaling Continuous Latent Variable Models as Probabilistic Integral Circuits
Gennaro Gala, Cassio de Campos, Antonio Vergari +1
Probabilistic integral circuits (PICs) have been recently introduced as probabilistic models enjoying the key ingredient behind expressive generative models: continuous latent vari…
Probabilistic Integral Circuits
Gennaro Gala, Cassio de Campos, Robert Peharz +2
Continuous latent variables (LVs) are a key ingredient of many generative models, as they allow modelling expressive mixtures with an uncountable number of components. In contrast,…
Probabilistic Multi-Dimensional Classification
Vu-Linh Nguyen, Yang Yang, Cassio de Campos
Multi-dimensional classification (MDC) can be employed in a range of applications where one needs to predict multiple class variables for each given instance. Many existing MDC met…
Continuous Mixtures of Tractable Probabilistic Models
Alvaro H. C. Correia, Gennaro Gala, Erik Quaeghebeur +2
Probabilistic models based on continuous latent spaces, such as variational autoencoders, can be understood as uncountable mixture models where components depend continuously on th…