Sebastian Gottwald

Neural Comput., 2024

Countability constraints in order-theoretic approaches to computability.

[BibT_eX]

[DOI]

Math. Struct. Comput. Sci., 2024

On the Structure of Information.

[BibT_eX]

[DOI]

CoRR, 2024

2023

Automatic bat call classification using transformer networks.

[BibT_eX]

[DOI]

Frank Fundel

Ecol. Informatics, December, 2023

2022

Jarzyski's Equality and Crooks' Fluctuation Theorem for General Markov Chains with Application to Decision-Making Systems.

[BibT_eX]

[DOI]

Entropy, December, 2022

On the relation of order theory and computation in terms of denumerability.

[BibT_eX]

[DOI]

CoRR, 2022

Computation as uncertainty reduction: a simplified order-theoretic framework.

[BibT_eX]

[DOI]

CoRR, 2022

On a geometrical notion of dimension for partially ordered sets.

[BibT_eX]

[DOI]

CoRR, 2022

Classification of preordered spaces in terms of monotones - Filling in the gaps.

[BibT_eX]

[DOI]

CoRR, 2022

2021

Representing Pareto optima in preordered spaces: from Shannon entropy to injective monotones.

[BibT_eX]

[DOI]

CoRR, 2021

2020

The two kinds of free energy and the Bayesian revolution.

[BibT_eX]

[DOI]

PLoS Comput. Biol., 2020

2019

Systems of Bounded Rational Agents with Information-Theoretic Constraints.

[BibT_eX]

[DOI]

Neural Comput., 2019

Bounded Rational Decision-Making from Elementary Computations That Reduce Uncertainty.

[BibT_eX]

[DOI]

Entropy, 2019

An Information-theoretic On-line Learning Principle for Specialization in Hierarchical Decision-Making Systems.

[BibT_eX]

[DOI]

Heinke Hihn

Proceedings of the 58th IEEE Conference on Decision and Control, 2019

2018

Bounded Rational Decision-Making with Adaptive Neural Network Priors.

[BibT_eX]

[DOI]

Heinke Hihn