11 citations · 18 across the 6 of their papers we have counts for
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cs.LG2021★ 1 cited
GINA: Neural Relational Inference From Independent Snapshots
Gerrit Großmann, Julian Zimmerlin, Michael Backenköhler +1
Dynamical systems in which local interactions among agents give rise to complex emerging phenomena are ubiquitous in nature and society. This work explores the problem of inferring…
stat.ML2021
Abstraction-Guided Truncations for Stationary Distributions of Markov Population Models
Michael Backenköhler, Luca Bortolussi, Gerrit Großmann +1
To understand the long-run behavior of Markov population models, the computation of the stationary distribution is often a crucial part. We propose a truncation-based approximation…