activity
20082026
most citedImprecise Markov chains and their limit behaviour

77 citations · 201 across the 10 of their papers we have counts for

collaborators

10 papers

math.PR2026

Relation between Hitting Times and Probabilities for Imprecise Markov Chains

Marco Sangalli, Erik Quaeghebeur, Thomas Krak

In the present paper, we investigate the relationship between hitting times and hitting probabilities in discrete-time imprecise Markov chains (IMCs). We define lower and upper hit…

cs.LG2023

E(n)-equivariant Graph Neural Cellular Automata

Gennaro Gala, Daniele Grattarola, Erik Quaeghebeur

Cellular automata (CAs) are notable computational models exhibiting rich dynamics emerging from the local interaction of cells arranged in a regular lattice. Graph CAs (GCAs) gener…

cs.LG2022★ 6 cited

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…

cs.AI2014★ 6 cited

Sensitivity analysis for finite Markov chains in discrete time

Gert de Cooman, Filip Hermans, Erik Quaeghebeur

When the initial and transition probabilities of a finite Markov chain in discrete time are not well known, we should perform a sensitivity analysis. This is done by considering as…

math.PR2012★ 28 cited

Accept & Reject Statement-Based Uncertainty Models

Erik Quaeghebeur, Gert de Cooman, Filip Hermans

We develop a framework for modelling and reasoning with uncertainty based on accept and reject statements about gambles. It generalises the frameworks found in the literature based…

cs.AI2012★ 5 cited

Characterizing the Set of Coherent Lower Previsions with a Finite Number of Constraints or Vertices

Erik Quaeghebeur

The standard coherence criterion for lower previsions is expressed using an infinite number of linear constraints. For lower previsions that are essentially defined on some finite…