activity
20242026
most citedA Concise Mathematical Description of Active Inference in Discrete Time

2 citations · 2 across the 5 of their papers we have counts for

collaborators

5 papers

cs.IT2026

Integrated Information in the Active Inference Framework

Carlotta Langer, Jesse van Oostrum, Nihat Ay

The active inference framework provides a principled approach to modeling sentient behavior. In this framework perception and action selection are treated in a unified way. The res…

cs.LG2026

Dynamics-Aligned Shared Hypernetworks for Contextual RL under Discontinuous Shifts

Jan Benad, Pradeep Kr. Banerjee, Frank Röder +3

Zero-shot generalization in contextual reinforcement learning remains a core challenge, particularly when the context is latent and must be inferred from data. A canonical failure…

cs.IT2025

Torsion of -connections on the density manifold

Nihat Ay, Lorenz J. Schwachhöfer

We study the torsion of the -connections defined on the density manifold in terms of a regular Riemannian metric. In the case of the Fisher-Rao metric our results confirm the fa…

cs.LG2024

Analyzing Multimodal Integration in the Variational Autoencoder from an Information-Theoretic Perspective

Carlotta Langer, Yasmin Kim Georgie, Ilja Porohovoj +2

Human perception is inherently multimodal. We integrate, for instance, visual, proprioceptive and tactile information into one experience. Hence, multimodal learning is of importan…

cs.LG2024★ 2 cited

A Concise Mathematical Description of Active Inference in Discrete Time

Jesse van Oostrum, Carlotta Langer, Nihat Ay

In this paper we present a concise mathematical description of active inference in discrete time. The main part of the paper serves as a basic introduction to the topic, including…