Daniel A. Braun

Publication Activity (10 Years)

Years Active: 2008-2022
Publications (10 Years): 36

Top Topics

Causal Inference

Theoretic Framework

Shannon Entropy

Top Venues

Publications

Pedro Hack, Daniel A. Braun, Sebastian Gottwald
On the relation of order theory and computation in terms of denumerability. CoRR (2022)
Heinke Hihn, Daniel A. Braun
Hierarchically Structured Task-Agnostic Continual Learning. CoRR (2022)
Pedro Hack, Sebastian Gottwald, Daniel A. Braun
Jarzyski's Equality and Crooks' Fluctuation Theorem for General Markov Chains with Application to Decision-Making Systems. Entropy 24 (12) (2022)
Pedro Hack, Daniel A. Braun, Sebastian Gottwald
Computation as uncertainty reduction: a simplified order-theoretic framework. CoRR (2022)
Pedro Hack, Daniel A. Braun, Sebastian Gottwald
Classification of preordered spaces in terms of monotones - Filling in the gaps. CoRR (2022)
Pedro Hack, Daniel A. Braun, Sebastian Gottwald
On a geometrical notion of dimension for partially ordered sets. CoRR (2022)
Pedro Hack, Daniel A. Braun, Sebastian Gottwald
Representing Pareto optima in preordered spaces: from Shannon entropy to injective monotones. CoRR (2021)
Heinke Hihn, Daniel A. Braun
Mixture-of-Variational-Experts for Continual Learning. CoRR (2021)
Arne Groß, Antonia Lenders, Friedhelm Schwenker, Daniel A. Braun, David Fischer
Comparison of short-term electrical load forecasting methods for different building types. Energy Inform. 4 (S3) (2021)
Peter Bellmann, Heinke Hihn, Daniel A. Braun, Friedhelm Schwenker
Binary Classification: Counterbalancing Class Imbalance by Applying Regression Models in Combination with One-sided Label Shifts. ICAART (2) (2021)
Heinke Hihn, Daniel A. Braun
Specialization in Hierarchical Learning Systems. CoRR (2020)
Peter Bellmann, Heinke Hihn, Daniel A. Braun, Friedhelm Schwenker
Binary Classification: Counterbalancing Class Imbalance by Applying Regression Models in Combination with One-Sided Label Shifts. CoRR (2020)
Heinke Hihn, Daniel A. Braun
Specialization in Hierarchical Learning Systems. Neural Process. Lett. 52 (3) (2020)
Sebastian Gottwald, Daniel A. Braun
The Two Kinds of Free Energy and the Bayesian Revolution. CoRR (2020)
Sebastian Gottwald, Daniel A. Braun
The two kinds of free energy and the Bayesian revolution. PLoS Comput. Biol. 16 (12) (2020)
Heinke Hihn, Sebastian Gottwald, Daniel A. Braun
An Information-theoretic On-line Learning Principle for Specialization in Hierarchical Decision-Making Systems. CoRR (2019)
Sebastian Gottwald, Daniel A. Braun
Bounded Rational Decision-Making from Elementary Computations That Reduce Uncertainty. Entropy 21 (4) (2019)
Heinke Hihn, Sebastian Gottwald, Daniel A. Braun
An Information-theoretic On-line Learning Principle for Specialization in Hierarchical Decision-Making Systems. CDC (2019)
Heinke Hihn, Daniel A. Braun
Hierarchical Expert Networks for Meta-Learning. CoRR (2019)
Sebastian Gottwald, Daniel A. Braun
Systems of Bounded Rational Agents with Information-Theoretic Constraints. Neural Comput. 31 (2) (2019)
Sebastian Gottwald, Daniel A. Braun
Bounded rational decision-making from elementary computations that reduce uncertainty. CoRR (2019)
Sebastian Gottwald, Daniel A. Braun
Systems of bounded rational agents with information-theoretic constraints. CoRR (2018)
Zhen Peng, Tim Genewein, Felix Leibfried, Daniel A. Braun
An information-theoretic on-line update principle for perception-action coupling. CoRR (2018)
Heinke Hihn, Sebastian Gottwald, Daniel A. Braun
Bounded Rational Decision-Making with Adaptive Neural Network Priors. ANNPR (2018)
Jordi Grau-Moya, Matthias Krüger, Daniel A. Braun
Non-Equilibrium Relations for Bounded Rational Decision-Making in Changing Environments. Entropy 20 (1) (2018)
Heinke Hihn, Sebastian Gottwald, Daniel A. Braun
Bounded Rational Decision-Making with Adaptive Neural Network Priors. CoRR (2018)
Zhen Peng, Tim Genewein, Felix Leibfried, Daniel A. Braun
An information-theoretic on-line update principle for perception-action coupling. IROS (2017)
Jordi Grau-Moya, Felix Leibfried, Tim Genewein, Daniel A. Braun
Planning with Information-Processing Constraints and Model Uncertainty in Markov Decision Processes. CoRR (2016)
Tim Genewein, Daniel A. Braun
Bio-inspired feedback-circuit implementation of discrete, free energy optimizing, winner-take-all computations. Biol. Cybern. 110 (2-3) (2016)
Jordi Grau-Moya, Felix Leibfried, Tim Genewein, Daniel A. Braun
Planning with Information-Processing Constraints and Model Uncertainty in Markov Decision Processes. ECML/PKDD (2) (2016)
Felix Leibfried, Daniel A. Braun
Bounded Rational Decision-Making in Feedforward Neural Networks. UAI (2016)
Felix Leibfried, Daniel A. Braun
A Reward-Maximizing Spiking Neuron as a Bounded Rational Decision Maker. Neural Comput. 27 (8) (2015)
Tim Genewein, Eduard Hez, Zeynab Razzaghpanah, Daniel A. Braun
Structure Learning in Bayesian Sensorimotor Integration. PLoS Comput. Biol. 11 (8) (2015)
Jordi Grau-Moya, Daniel A. Braun
Adaptive information-theoretic bounded rational decision-making with parametric priors. CoRR (2015)
Pedro A. Ortega, Daniel A. Braun, Justin Dyer, Kee-Eung Kim, Naftali Tishby
Information-Theoretic Bounded Rationality. CoRR (2015)
Zhen Peng, Daniel A. Braun
Developing neural networks with neurons competing for survival. ICDL-EPIROB (2015)
Daniel A. Braun, Pedro A. Ortega
Information-Theoretic Bounded Rationality and ε-Optimality. Entropy 16 (8) (2014)
Zhen Peng, Daniel A. Braun
Curiosity-driven learning with Context Tree Weighting. ICDL-EPIROB (2014)
Pedro A. Ortega, Daniel A. Braun
Erratum to: Generalized Thompson sampling for sequential decision-making and causal inference. Complex Adapt. Syst. Model. 2 (2014)
Pedro A. Ortega, Daniel A. Braun, Naftali Tishby
Monte Carlo methods for exact & efficient solution of the generalized optimality equations. ICRA (2014)
Pedro A. Ortega, Daniel A. Braun
Generalized Thompson sampling for sequential decision-making and causal inference. Complex Adapt. Syst. Model. 2 (2014)
Pedro A. Ortega, Daniel A. Braun
Generalized Thompson Sampling for Sequential Decision-Making and Causal Inference CoRR (2013)
Tim Genewein, Daniel A. Braun
Abstraction in decision-makers with limited information processing capabilities. CoRR (2013)
Jordi Grau-Moya, Daniel A. Braun
Bounded Rational Decision-Making in Changing Environments. CoRR (2013)
Pedro A. Ortega, Jordi Grau-Moya, Tim Genewein, David Balduzzi, Daniel A. Braun
A Nonparametric Conjugate Prior Distribution for the Maximizing Argument of a Noisy Function. NIPS (2012)
Pedro A. Ortega, Jordi Grau-Moya, Tim Genewein, David Balduzzi, Daniel A. Braun
A Nonparametric Conjugate Prior Distribution for the Maximizing Argument of a Noisy Function CoRR (2012)
Pedro A. Ortega, Daniel A. Braun
Free Energy and the Generalized Optimality Equations for Sequential Decision Making CoRR (2012)
Jordi Grau-Moya, Pedro A. Ortega, Daniel A. Braun
Risk-Sensitivity in Bayesian Sensorimotor Integration. PLoS Comput. Biol. 8 (9) (2012)
Pedro A. Ortega, Daniel A. Braun
Information, Utility & Bounded Rationality CoRR (2011)
Daniel A. Braun, Pedro A. Ortega, Evangelos A. Theodorou, Stefan Schaal
Path integral control and bounded rationality. ADPRL (2011)
Daniel A. Braun, Ad Aertsen, Rony Paz, Eilon Vaadia, Stefan Rotter, Carsten Mehring
Online Adaptation and Over-Trial Learning in Macaque Visuomotor Control. Frontiers Comput. Neurosci. 5 (2011)
Edward J. A. Turnham, Daniel A. Braun, Daniel M. Wolpert
Inferring Visuomotor Priors for Sensorimotor Learning. PLoS Comput. Biol. 7 (3) (2011)
Arne J. Nagengast, Daniel A. Braun, Daniel M. Wolpert
Risk-Sensitive Optimal Feedback Control Accounts for Sensorimotor Behavior under Uncertainty. PLoS Comput. Biol. 6 (7) (2010)
Pedro A. Ortega, Daniel A. Braun
A Minimum Relative Entropy Principle for Learning and Acting. J. Artif. Intell. Res. 38 (2010)
Pedro A. Ortega, Daniel A. Braun
A Minimum Relative Entropy Controller for Undiscounted Markov Decision Processes CoRR (2010)
Daniel A. Braun, Pedro A. Ortega
A Minimum Relative Entropy Principle for Adaptive Control in Linear Quadratic Regulators. ICINCO (3) (2010)
Pedro A. Ortega, Daniel A. Braun
Convergence of Bayesian Control Rule CoRR (2010)
Pedro A. Ortega, Daniel A. Braun
An axiomatic formalization of bounded rationality based on a utility-information equivalence CoRR (2010)
Pedro A. Ortega, Daniel A. Braun
A Bayesian Rule for Adaptive Control based on Causal Interventions CoRR (2009)
Pedro A. Ortega, Daniel A. Braun
A conversion between utility and information CoRR (2009)
Arne J. Nagengast, Daniel A. Braun, Daniel M. Wolpert
Optimal Control Predicts Human Performance on Objects with Internal Degrees of Freedom. PLoS Comput. Biol. 5 (6) (2009)
Daniel A. Braun, Pedro A. Ortega, Daniel M. Wolpert
Nash Equilibria in Multi-Agent Motor Interactions. PLoS Comput. Biol. 5 (8) (2009)
Pedro A. Ortega, Daniel A. Braun
A Minimum Relative Entropy Principle for Learning and Acting CoRR (2008)