Daniel A. Braun

Orcid: 0000-0002-8637-6652

Affiliations:
  • Ulm University, Institute of Neural Information Processing, Germany
  • Max Planck Institute for Intelligent Systems, Tübingen, Germany
  • University of Cambridge, Department of Engineering


According to our database1, Daniel A. Braun authored at least 56 papers between 2009 and 2023.

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Bibliography

2023
Automatic bat call classification using transformer networks.
Ecol. Informatics, December, 2023

Hierarchically structured task-agnostic continual learning.
Mach. Learn., February, 2023

2022
Jarzyski's Equality and Crooks' Fluctuation Theorem for General Markov Chains with Application to Decision-Making Systems.
Entropy, December, 2022

Bounded rational decision-making models suggest capacity-limited concurrent motor planning in human posterior parietal and frontal cortex.
PLoS Comput. Biol., October, 2022

On the relation of order theory and computation in terms of denumerability.
CoRR, 2022

Computation as uncertainty reduction: a simplified order-theoretic framework.
CoRR, 2022

On a geometrical notion of dimension for partially ordered sets.
CoRR, 2022

Classification of preordered spaces in terms of monotones - Filling in the gaps.
CoRR, 2022

2021
Comparison of short-term electrical load forecasting methods for different building types.
Energy Inform., 2021

Mixture-of-Variational-Experts for Continual Learning.
CoRR, 2021

Representing Pareto optima in preordered spaces: from Shannon entropy to injective monotones.
CoRR, 2021

Binary Classification: Counterbalancing Class Imbalance by Applying Regression Models in Combination with One-sided Label Shifts.
Proceedings of the 13th International Conference on Agents and Artificial Intelligence, 2021

2020
The two kinds of free energy and the Bayesian revolution.
PLoS Comput. Biol., 2020

Specialization in Hierarchical Learning Systems.
Neural Process. Lett., 2020

2019
Systems of Bounded Rational Agents with Information-Theoretic Constraints.
Neural Comput., 2019

Bounded Rational Decision-Making from Elementary Computations That Reduce Uncertainty.
Entropy, 2019

Hierarchical Expert Networks for Meta-Learning.
CoRR, 2019

An Information-theoretic On-line Learning Principle for Specialization in Hierarchical Decision-Making Systems.
Proceedings of the 58th IEEE Conference on Decision and Control, 2019

2018
Non-Equilibrium Relations for Bounded Rational Decision-Making in Changing Environments.
Entropy, 2018

Bounded Rational Decision-Making with Adaptive Neural Network Priors.
Proceedings of the Artificial Neural Networks in Pattern Recognition, 2018

2017
An information-theoretic on-line update principle for perception-action coupling.
Proceedings of the 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2017

2016
Bio-inspired feedback-circuit implementation of discrete, free energy optimizing, winner-take-all computations.
Biol. Cybern., 2016

Bounded Rational Decision-Making in Feedforward Neural Networks.
Proceedings of the Thirty-Second Conference on Uncertainty in Artificial Intelligence, 2016

Planning with Information-Processing Constraints and Model Uncertainty in Markov Decision Processes.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2016

2015
Structure Learning in Bayesian Sensorimotor Integration.
PLoS Comput. Biol., 2015

A Reward-Maximizing Spiking Neuron as a Bounded Rational Decision Maker.
Neural Comput., 2015

Bounded Rationality, Abstraction, and Hierarchical Decision-Making: An Information-Theoretic Optimality Principle.
Frontiers Robotics AI, 2015

Information-Theoretic Bounded Rationality.
CoRR, 2015

Adaptive information-theoretic bounded rational decision-making with parametric priors.
CoRR, 2015

Developing neural networks with neurons competing for survival.
Proceedings of the 2015 Joint IEEE International Conference on Development and Learning and Epigenetic Robotics, 2015

2014
Information-Theoretic Bounded Rationality and ε-Optimality.
Entropy, 2014

Erratum to: Generalized Thompson sampling for sequential decision-making and causal inference.
Complex Adapt. Syst. Model., 2014

Generalized Thompson sampling for sequential decision-making and causal inference.
Complex Adapt. Syst. Model., 2014

Monte Carlo methods for exact & efficient solution of the generalized optimality equations.
Proceedings of the 2014 IEEE International Conference on Robotics and Automation, 2014

Curiosity-driven learning with Context Tree Weighting.
Proceedings of the 4th International Conference on Development and Learning and on Epigenetic Robotics, 2014

2013
Bounded Rational Decision-Making in Changing Environments.
CoRR, 2013

Abstraction in decision-makers with limited information processing capabilities.
CoRR, 2013

2012
Risk-Sensitivity in Bayesian Sensorimotor Integration.
PLoS Comput. Biol., 2012

Free Energy and the Generalized Optimality Equations for Sequential Decision Making
CoRR, 2012

A Nonparametric Conjugate Prior Distribution for the Maximizing Argument of a Noisy Function.
Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012

2011
Inferring Visuomotor Priors for Sensorimotor Learning.
PLoS Comput. Biol., 2011

Online Adaptation and Over-Trial Learning in Macaque Visuomotor Control.
Frontiers Comput. Neurosci., 2011

Information, Utility & Bounded Rationality
CoRR, 2011

Reinforcement Learning and the Bayesian Control Rule.
Proceedings of the Artificial General Intelligence - 4th International Conference, 2011

Information, Utility and Bounded Rationality.
Proceedings of the Artificial General Intelligence - 4th International Conference, 2011

Path integral control and bounded rationality.
Proceedings of the 2011 IEEE Symposium on Adaptive Dynamic Programming And Reinforcement Learning, 2011

2010
Risk-Sensitive Optimal Feedback Control Accounts for Sensorimotor Behavior under Uncertainty.
PLoS Comput. Biol., 2010

A Minimum Relative Entropy Principle for Learning and Acting.
J. Artif. Intell. Res., 2010

An axiomatic formalization of bounded rationality based on a utility-information equivalence
CoRR, 2010

Convergence of Bayesian Control Rule
CoRR, 2010

A Minimum Relative Entropy Controller for Undiscounted Markov Decision Processes
CoRR, 2010

A Minimum Relative Entropy Principle for Adaptive Control in Linear Quadratic Regulators.
Proceedings of the ICINCO 2010, 2010

2009
Optimal Control Predicts Human Performance on Objects with Internal Degrees of Freedom.
PLoS Comput. Biol., 2009

Nash Equilibria in Multi-Agent Motor Interactions.
PLoS Comput. Biol., 2009

A conversion between utility and information
CoRR, 2009

A Bayesian Rule for Adaptive Control based on Causal Interventions
CoRR, 2009


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