Daniel A. Braun

71 papers A* 1A 2Journal 59Unranked 9

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Autonomous Learning From Success and Failure: Goal-Conditioned Supervised Learning with Negative Feedback. CoRR Zeqiang Zhang, Fabian Wurzberger, Gerrit Schmid, Sebastian Gottwald, Daniel A. Braun
2024	J	`jnl`	Bounded Rational Decision Networks With Belief Propagation. Neural Comput. Gerrit Schmid, Sebastian Gottwald, Daniel A. Braun
2024	J	`jnl`	Countability constraints in order-theoretic approaches to computability. Math. Struct. Comput. Sci. Pedro Hack, Daniel A. Braun, Sebastian Gottwald
2024	J	`jnl`	On the Structure of Information. CoRR Sebastian Gottwald, Daniel A. Braun
2024	J	`jnl`	Online continual learning through unsupervised mutual information maximization. Neurocomputing Heinke Hihn, Daniel A. Braun
2023	J	`jnl`	Automatic Bat Call Classification using Transformer Networks. CoRR Frank Fundel, Daniel A. Braun, Sebastian Gottwald
2023	J	`jnl`	Automatic bat call classification using transformer networks. Ecol. Informatics Frank Fundel, Daniel A. Braun, Sebastian Gottwald
2023	J	`jnl`	Hierarchically structured task-agnostic continual learning. Mach. Learn. Heinke Hihn, Daniel A. Braun
2022	J	`jnl`	Classification of preordered spaces in terms of monotones - Filling in the gaps. CoRR Pedro Hack, Daniel A. Braun, Sebastian Gottwald
2022	J	`jnl`	Computation as uncertainty reduction: a simplified order-theoretic framework. CoRR Pedro Hack, Daniel A. Braun, Sebastian Gottwald
2022	J	`jnl`	Hierarchically Structured Task-Agnostic Continual Learning. CoRR Heinke Hihn, Daniel A. Braun
2022	J	`jnl`	Jarzyski's Equality and Crooks' Fluctuation Theorem for General Markov Chains with Application to Decision-Making Systems. Entropy Pedro Hack, Sebastian Gottwald, Daniel A. Braun
2022	J	`jnl`	On a geometrical notion of dimension for partially ordered sets. CoRR Pedro Hack, Daniel A. Braun, Sebastian Gottwald
2022	J	`jnl`	On the relation of order theory and computation in terms of denumerability. CoRR Pedro Hack, Daniel A. Braun, Sebastian Gottwald
2021	—	`conf`	Binary Classification: Counterbalancing Class Imbalance by Applying Regression Models in Combination with One-sided Label Shifts. ICAART (2) Peter Bellmann, Heinke Hihn, Daniel A. Braun, Friedhelm Schwenker
2021	J	`jnl`	Comparison of short-term electrical load forecasting methods for different building types. Energy Inform. Arne Groß, Antonia Lenders, Friedhelm Schwenker, Daniel A. Braun, David Fischer
2021	J	`jnl`	Mixture-of-Variational-Experts for Continual Learning. CoRR Heinke Hihn, Daniel A. Braun
2021	J	`jnl`	Representing Pareto optima in preordered spaces: from Shannon entropy to injective monotones. CoRR Pedro Hack, Daniel A. Braun, Sebastian Gottwald
2020	J	`jnl`	Binary Classification: Counterbalancing Class Imbalance by Applying Regression Models in Combination with One-Sided Label Shifts. CoRR Peter Bellmann, Heinke Hihn, Daniel A. Braun, Friedhelm Schwenker
2020	J	`jnl`	Specialization in Hierarchical Learning Systems. CoRR Heinke Hihn, Daniel A. Braun
2020	J	`jnl`	Specialization in Hierarchical Learning Systems. Neural Process. Lett. Heinke Hihn, Daniel A. Braun
2020	J	`jnl`	The Two Kinds of Free Energy and the Bayesian Revolution. CoRR Sebastian Gottwald, Daniel A. Braun
2020	J	`jnl`	The two kinds of free energy and the Bayesian revolution. PLoS Comput. Biol. Sebastian Gottwald, Daniel A. Braun
2019	—	`conf`	An Information-theoretic On-line Learning Principle for Specialization in Hierarchical Decision-Making Systems. CDC Heinke Hihn, Sebastian Gottwald, Daniel A. Braun
2019	J	`jnl`	An Information-theoretic On-line Learning Principle for Specialization in Hierarchical Decision-Making Systems. CoRR Heinke Hihn, Sebastian Gottwald, Daniel A. Braun
2019	J	`jnl`	Bounded Rational Decision-Making from Elementary Computations That Reduce Uncertainty. Entropy Sebastian Gottwald, Daniel A. Braun
2019	J	`jnl`	Bounded rational decision-making from elementary computations that reduce uncertainty. CoRR Sebastian Gottwald, Daniel A. Braun
2019	J	`jnl`	Hierarchical Expert Networks for Meta-Learning. CoRR Heinke Hihn, Daniel A. Braun
2019	J	`jnl`	Systems of Bounded Rational Agents with Information-Theoretic Constraints. Neural Comput. Sebastian Gottwald, Daniel A. Braun
2018	J	`jnl`	An information-theoretic on-line update principle for perception-action coupling. CoRR Zhen Peng, Tim Genewein, Felix Leibfried, Daniel A. Braun
2018	—	`conf`	Bounded Rational Decision-Making with Adaptive Neural Network Priors. ANNPR Heinke Hihn, Sebastian Gottwald, Daniel A. Braun
2018	J	`jnl`	Bounded Rational Decision-Making with Adaptive Neural Network Priors. CoRR Heinke Hihn, Sebastian Gottwald, Daniel A. Braun
2018	J	`jnl`	Non-Equilibrium Relations for Bounded Rational Decision-Making in Changing Environments. Entropy Jordi Grau-Moya, Matthias Krüger, Daniel A. Braun
2018	J	`jnl`	Systems of bounded rational agents with information-theoretic constraints. CoRR Sebastian Gottwald, Daniel A. Braun
2017	A	`conf`	An information-theoretic on-line update principle for perception-action coupling. IROS Zhen Peng, Tim Genewein, Felix Leibfried, Daniel A. Braun
2016	J	`jnl`	Bio-inspired feedback-circuit implementation of discrete, free energy optimizing, winner-take-all computations. Biol. Cybern. Tim Genewein, Daniel A. Braun
2016	A	`conf`	Bounded Rational Decision-Making in Feedforward Neural Networks. UAI Felix Leibfried, Daniel A. Braun
2016	—	`conf`	Planning with Information-Processing Constraints and Model Uncertainty in Markov Decision Processes. ECML/PKDD (2) Jordi Grau-Moya, Felix Leibfried, Tim Genewein, Daniel A. Braun
2016	J	`jnl`	Planning with Information-Processing Constraints and Model Uncertainty in Markov Decision Processes. CoRR Jordi Grau-Moya, Felix Leibfried, Tim Genewein, Daniel A. Braun
2015	J	`jnl`	A Reward-Maximizing Spiking Neuron as a Bounded Rational Decision Maker. Neural Comput. Felix Leibfried, Daniel A. Braun
2015	J	`jnl`	Adaptive information-theoretic bounded rational decision-making with parametric priors. CoRR Jordi Grau-Moya, Daniel A. Braun
2015	—	`conf`	Developing neural networks with neurons competing for survival. ICDL-EPIROB Zhen Peng, Daniel A. Braun
2015	J	`jnl`	Information-Theoretic Bounded Rationality. CoRR Pedro A. Ortega, Daniel A. Braun, Justin Dyer, Kee-Eung Kim, Naftali Tishby
2015	J	`jnl`	Structure Learning in Bayesian Sensorimotor Integration. PLoS Comput. Biol. Tim Genewein, Eduard Hez, Zeynab Razzaghpanah, Daniel A. Braun
2014	—	`conf`	Curiosity-driven learning with Context Tree Weighting. ICDL-EPIROB Zhen Peng, Daniel A. Braun
2014	J	`jnl`	Erratum to: Generalized Thompson sampling for sequential decision-making and causal inference. Complex Adapt. Syst. Model. Pedro A. Ortega, Daniel A. Braun
2014	J	`jnl`	Generalized Thompson sampling for sequential decision-making and causal inference. Complex Adapt. Syst. Model. Pedro A. Ortega, Daniel A. Braun
2014	J	`jnl`	Information-Theoretic Bounded Rationality and ε-Optimality. Entropy Daniel A. Braun, Pedro A. Ortega
2014	A*	`conf`	Monte Carlo methods for exact & efficient solution of the generalized optimality equations. ICRA Pedro A. Ortega, Daniel A. Braun, Naftali Tishby
2013	J	`jnl`	Abstraction in decision-makers with limited information processing capabilities. CoRR Tim Genewein, Daniel A. Braun
2013	J	`jnl`	Bounded Rational Decision-Making in Changing Environments. CoRR Jordi Grau-Moya, Daniel A. Braun
2013	J	`jnl`	Generalized Thompson Sampling for Sequential Decision-Making and Causal Inference CoRR Pedro A. Ortega, Daniel A. Braun
2012	J	`jnl`	A Nonparametric Conjugate Prior Distribution for the Maximizing Argument of a Noisy Function CoRR Pedro A. Ortega, Jordi Grau-Moya, Tim Genewein, David Balduzzi, Daniel A. Braun
2012	—	`conf`	A Nonparametric Conjugate Prior Distribution for the Maximizing Argument of a Noisy Function. NIPS Pedro A. Ortega, Jordi Grau-Moya, Tim Genewein, David Balduzzi, Daniel A. Braun
2012	J	`jnl`	Free Energy and the Generalized Optimality Equations for Sequential Decision Making CoRR Pedro A. Ortega, Daniel A. Braun
2012	J	`jnl`	Risk-Sensitivity in Bayesian Sensorimotor Integration. PLoS Comput. Biol. Jordi Grau-Moya, Pedro A. Ortega, Daniel A. Braun
2011	J	`jnl`	Inferring Visuomotor Priors for Sensorimotor Learning. PLoS Comput. Biol. Edward J. A. Turnham, Daniel A. Braun, Daniel M. Wolpert
2011	J	`jnl`	Information, Utility & Bounded Rationality CoRR Pedro A. Ortega, Daniel A. Braun
2011	J	`jnl`	Online Adaptation and Over-Trial Learning in Macaque Visuomotor Control. Frontiers Comput. Neurosci. Daniel A. Braun, Ad Aertsen, Rony Paz, Eilon Vaadia, Stefan Rotter, Carsten Mehring
2011	—	`conf`	Path integral control and bounded rationality. ADPRL Daniel A. Braun, Pedro A. Ortega, Evangelos A. Theodorou, Stefan Schaal
2010	J	`jnl`	A Minimum Relative Entropy Controller for Undiscounted Markov Decision Processes CoRR Pedro A. Ortega, Daniel A. Braun
2010	—	`conf`	A Minimum Relative Entropy Principle for Adaptive Control in Linear Quadratic Regulators. ICINCO (3) Daniel A. Braun, Pedro A. Ortega
2010	J	`jnl`	A Minimum Relative Entropy Principle for Learning and Acting. J. Artif. Intell. Res. Pedro A. Ortega, Daniel A. Braun
2010	J	`jnl`	An axiomatic formalization of bounded rationality based on a utility-information equivalence CoRR Pedro A. Ortega, Daniel A. Braun
2010	J	`jnl`	Convergence of Bayesian Control Rule CoRR Pedro A. Ortega, Daniel A. Braun
2010	J	`jnl`	Risk-Sensitive Optimal Feedback Control Accounts for Sensorimotor Behavior under Uncertainty. PLoS Comput. Biol. Arne J. Nagengast, Daniel A. Braun, Daniel M. Wolpert
2009	J	`jnl`	A Bayesian Rule for Adaptive Control based on Causal Interventions CoRR Pedro A. Ortega, Daniel A. Braun
2009	J	`jnl`	A conversion between utility and information CoRR Pedro A. Ortega, Daniel A. Braun
2009	J	`jnl`	Nash Equilibria in Multi-Agent Motor Interactions. PLoS Comput. Biol. Daniel A. Braun, Pedro A. Ortega, Daniel M. Wolpert
2009	J	`jnl`	Optimal Control Predicts Human Performance on Objects with Internal Degrees of Freedom. PLoS Comput. Biol. Arne J. Nagengast, Daniel A. Braun, Daniel M. Wolpert
2008	J	`jnl`	A Minimum Relative Entropy Principle for Learning and Acting CoRR Pedro A. Ortega, Daniel A. Braun