1 citations · 1 across the 5 of their papers we have counts for
5 papers
Identification over Affine Poisson Channels: Application to Molecular Mixture Communication Systems
Mohammad Javad Salariseddigh, Heinz Koeppl, Holger Boche +1
Identification capacity has been established as a relevant performance metric for various goal-/task-oriented applications, where the receiver may be interested in only a particula…
Mutual Information of a class of Poisson-type Channels using Markov Renewal Theory
Maximilian Gehri, Nicolai Engelmann, Heinz Koeppl
The mutual information (MI) of Poisson-type channels has been linked to a filtering problem since the 70s, but its evaluation for specific continuous-time, discrete-state systems r…
Scaling up Dynamic Edge Partition Models via Stochastic Gradient MCMC
Sikun Yang, Heinz Koeppl
The edge partition model (EPM) is a generative model for extracting an overlapping community structure from static graph-structured data. In the EPM, the gamma process (GaP) prior…
Negative-Binomial Randomized Gamma Markov Processes for Heterogeneous Overdispersed Count Time Series
Rui Huang, Sikun Yang, Heinz Koeppl
Modeling count-valued time series has been receiving increasing attention since count time series naturally arise in physical and social domains. Poisson gamma dynamical systems (P…
A Poisson-Gamma Dynamic Factor Model with Time-Varying Transition Dynamics
Jiahao Wang, Sikun Yang, Heinz Koeppl +3
Probabilistic approaches for handling count-valued time sequences have attracted amounts of research attentions because their ability to infer explainable latent structures and to…