no code implementations • 21 Jul 2023 • Torsten Enßlin, Carolin Weidinger, Philipp Frank
To see how proper attention communication can emerge, we analyze a scenario of a message sender who wants to ensure that the receiver of the message can perform well-informed actions.
no code implementations • 19 Dec 2021 • Torsten Enßlin
In this paper, the process of inference in IFT is reformulated in terms of GNN training.
no code implementations • 9 Jun 2021 • Torsten Enßlin, Viktoria Kainz, Céline Bœhm
Reputation is a central element of social communications, be it with human or artificial intelligence (AI), and as such can be the primary target of malicious communication strategies.
no code implementations • 27 May 2021 • Matteo Guardiani, Philipp Frank, Andrija Kostić, Gordian Edenhofer, Jakob Roth, Berit Uhlmann, Torsten Enßlin
The viral load of patients infected with SARS-CoV-2 varies on logarithmic scales and possibly with age.
no code implementations • 12 Feb 2020 • Philipp Arras, Philipp Frank, Philipp Haim, Jakob Knollmüller, Reimar Leike, Martin Reinecke, Torsten Enßlin
Observing the dynamics of compact astrophysical objects provides insights into their inner workings, thereby probing physics under extreme conditions.
Instrumentation and Methods for Astrophysics Astrophysics of Galaxies
no code implementations • 29 Jan 2020 • Jakob Knollmüller, Torsten Enßlin
We showed how to use trained neural networks to perform Bayesian reasoning in order to solve tasks outside their initial scope.