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ORCIDDaniel A. Braun 0001
Person information
- affiliation: Ulm University, Institute of Neural Information Processing, Germany
- affiliation: Max Planck Institute for Intelligent Systems, Tübingen, Germany
- affiliation: University of Cambridge, Department of Engineering
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Journal Articles
- 2024
[j25]Heinke Hihn, Daniel A. Braun
:
Online continual learning through unsupervised mutual information maximization. Neurocomputing 578: 127422 (2024)- 2023
- [j24]Frank Fundel, Daniel A. Braun, Sebastian Gottwald:
Automatic bat call classification using transformer networks. Ecol. Informatics 78: 102288 (2023) - [j23]Heinke Hihn, Daniel A. Braun:
Hierarchically structured task-agnostic continual learning. Mach. Learn. 112(2): 655-686 (2023) - 2022
- [j22]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): 1731 (2022) - [j21]Sonja Schach, Axel Lindner, Daniel Alexander Braun:
Bounded rational decision-making models suggest capacity-limited concurrent motor planning in human posterior parietal and frontal cortex. PLoS Comput. Biol. 18(10): 1010585 (2022) - 2021
- [j20]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) - 2020
- [j19]Heinke Hihn, Daniel A. Braun:
Specialization in Hierarchical Learning Systems. Neural Process. Lett. 52(3): 2319-2352 (2020) - [j18]Sebastian Gottwald, Daniel A. Braun:
The two kinds of free energy and the Bayesian revolution. PLoS Comput. Biol. 16(12) (2020) - 2019
- [j17]Sebastian Gottwald, Daniel A. Braun:
Bounded Rational Decision-Making from Elementary Computations That Reduce Uncertainty. Entropy 21(4): 375 (2019) - [j16]Sebastian Gottwald, Daniel A. Braun:
Systems of Bounded Rational Agents with Information-Theoretic Constraints. Neural Comput. 31(2) (2019) - 2018
- [j15]Jordi Grau-Moya, Matthias Krüger, Daniel A. Braun:
Non-Equilibrium Relations for Bounded Rational Decision-Making in Changing Environments. Entropy 20(1): 1 (2018) - 2016
- [j14]Tim Genewein, Daniel A. Braun:
Bio-inspired feedback-circuit implementation of discrete, free energy optimizing, winner-take-all computations. Biol. Cybern. 110(2-3): 135-150 (2016) - 2015
- [j13]Tim Genewein, Felix Leibfried, Jordi Grau-Moya, Daniel Alexander Braun:
Bounded Rationality, Abstraction, and Hierarchical Decision-Making: An Information-Theoretic Optimality Principle. Frontiers Robotics AI 2: 27 (2015) - [j12]Felix Leibfried, Daniel A. Braun:
A Reward-Maximizing Spiking Neuron as a Bounded Rational Decision Maker. Neural Comput. 27(8): 1686-1720 (2015) - [j11]Tim Genewein, Eduard Hez, Zeynab Razzaghpanah, Daniel A. Braun:
Structure Learning in Bayesian Sensorimotor Integration. PLoS Comput. Biol. 11(8) (2015) - 2014
- [j10]Pedro A. Ortega, Daniel A. Braun:
Generalized Thompson sampling for sequential decision-making and causal inference. Complex Adapt. Syst. Model. 2: 2 (2014) - [j9]Pedro A. Ortega, Daniel A. Braun:
Erratum to: Generalized Thompson sampling for sequential decision-making and causal inference. Complex Adapt. Syst. Model. 2: 4 (2014) - [j8]Daniel A. Braun, Pedro A. Ortega:
Information-Theoretic Bounded Rationality and ε-Optimality. Entropy 16(8): 4662-4676 (2014) - 2012
- [j7]Jordi Grau-Moya, Pedro A. Ortega, Daniel A. Braun:
Risk-Sensitivity in Bayesian Sensorimotor Integration. PLoS Comput. Biol. 8(9) (2012) - 2011
- [j6]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: 27 (2011) - [j5]Edward J. A. Turnham, Daniel A. Braun, Daniel M. Wolpert:
Inferring Visuomotor Priors for Sensorimotor Learning. PLoS Comput. Biol. 7(3) (2011) - 2010
- [j4]Pedro A. Ortega, Daniel A. Braun:
A Minimum Relative Entropy Principle for Learning and Acting. J. Artif. Intell. Res. 38: 475-511 (2010) - [j3]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) - 2009
- [j2]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) - [j1]Daniel A. Braun, Pedro A. Ortega, Daniel M. Wolpert:
Nash Equilibria in Multi-Agent Motor Interactions. PLoS Comput. Biol. 5(8) (2009)
Conference and Workshop Papers
- 2021
- [c14]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: 724-731 - 2019
- [c13]Heinke Hihn, Sebastian Gottwald, Daniel A. Braun:
An Information-theoretic On-line Learning Principle for Specialization in Hierarchical Decision-Making Systems. CDC 2019: 3677-3684 - 2018
- [c12]Heinke Hihn, Sebastian Gottwald, Daniel A. Braun:
Bounded Rational Decision-Making with Adaptive Neural Network Priors. ANNPR 2018: 213-225 - 2017
- [c11]Zhen Peng, Tim Genewein, Felix Leibfried, Daniel A. Braun:
An information-theoretic on-line update principle for perception-action coupling. IROS 2017: 789-796 - 2016
- [c10]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: 475-491 - [c9]Felix Leibfried, Daniel A. Braun:
Bounded Rational Decision-Making in Feedforward Neural Networks. UAI 2016 - 2015
- [c8]Zhen Peng, Daniel A. Braun:
Developing neural networks with neurons competing for survival. ICDL-EPIROB 2015: 152-153 - 2014
- [c7]Zhen Peng, Daniel A. Braun:
Curiosity-driven learning with Context Tree Weighting. ICDL-EPIROB 2014: 366-367 - [c6]Pedro A. Ortega, Daniel A. Braun, Naftali Tishby:
Monte Carlo methods for exact & efficient solution of the generalized optimality equations. ICRA 2014: 4322-4327 - 2012
- [c5]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: 3014-3022 - 2011
- [c4]Daniel A. Braun, Pedro A. Ortega, Evangelos A. Theodorou, Stefan Schaal:
Path integral control and bounded rationality. ADPRL 2011: 202-209 - [c3]Daniel Alexander Braun, Pedro Alejandro Ortega:
Information, Utility and Bounded Rationality. AGI 2011: 269-274 - [c2]Pedro Alejandro Ortega, Daniel Alexander Braun, Simon J. Godsill:
Reinforcement Learning and the Bayesian Control Rule. AGI 2011: 281-285 - 2010
- [c1]Daniel A. Braun, Pedro A. Ortega:
A Minimum Relative Entropy Principle for Adaptive Control in Linear Quadratic Regulators. ICINCO (3) 2010: 103-108
Informal and Other Publications
- 2023
- [i33]Frank Fundel, Daniel A. Braun, Sebastian Gottwald:
Automatic Bat Call Classification using Transformer Networks. CoRR abs/2309.11218 (2023) - 2022
- [i32]Pedro Hack, Daniel A. Braun, Sebastian Gottwald:
Classification of preordered spaces in terms of monotones - Filling in the gaps. CoRR abs/2202.12106 (2022) - [i31]Pedro Hack, Daniel A. Braun, Sebastian Gottwald:
On a geometrical notion of dimension for partially ordered sets. CoRR abs/2203.16272 (2022) - [i30]Pedro Hack, Daniel A. Braun, Sebastian Gottwald:
Computation as uncertainty reduction: a simplified order-theoretic framework. CoRR abs/2206.13885 (2022) - [i29]Pedro Hack, Daniel A. Braun, Sebastian Gottwald:
On the relation of order theory and computation in terms of denumerability. CoRR abs/2206.14484 (2022) - [i28]Heinke Hihn, Daniel A. Braun:
Hierarchically Structured Task-Agnostic Continual Learning. CoRR abs/2211.07725 (2022) - 2021
- [i27]Pedro Hack, Daniel A. Braun, Sebastian Gottwald:
Representing Pareto optima in preordered spaces: from Shannon entropy to injective monotones. CoRR abs/2107.14669 (2021) - [i26]Heinke Hihn, Daniel A. Braun:
Mixture-of-Variational-Experts for Continual Learning. CoRR abs/2110.12667 (2021) - 2020
- [i25]Sebastian Gottwald, Daniel A. Braun:
The Two Kinds of Free Energy and the Bayesian Revolution. CoRR abs/2004.11763 (2020) - [i24]Heinke Hihn, Daniel A. Braun:
Specialization in Hierarchical Learning Systems. CoRR abs/2011.01845 (2020) - [i23]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 abs/2011.14764 (2020) - 2019
- [i22]Sebastian Gottwald, Daniel A. Braun:
Bounded rational decision-making from elementary computations that reduce uncertainty. CoRR abs/1904.03964 (2019) - [i21]Heinke Hihn, Sebastian Gottwald, Daniel A. Braun:
An Information-theoretic On-line Learning Principle for Specialization in Hierarchical Decision-Making Systems. CoRR abs/1907.11452 (2019) - [i20]Heinke Hihn, Daniel A. Braun:
Hierarchical Expert Networks for Meta-Learning. CoRR abs/1911.00348 (2019) - 2018
- [i19]Zhen Peng, Tim Genewein, Felix Leibfried, Daniel A. Braun:
An information-theoretic on-line update principle for perception-action coupling. CoRR abs/1804.05906 (2018) - [i18]Heinke Hihn, Sebastian Gottwald, Daniel A. Braun:
Bounded Rational Decision-Making with Adaptive Neural Network Priors. CoRR abs/1809.01575 (2018) - [i17]Sebastian Gottwald, Daniel A. Braun:
Systems of bounded rational agents with information-theoretic constraints. CoRR abs/1809.05897 (2018) - 2016
- [i16]Felix Leibfried, Daniel Alexander Braun:
Bounded Rational Decision-Making in Feedforward Neural Networks. CoRR abs/1602.08332 (2016) - [i15]Jordi Grau-Moya, Felix Leibfried, Tim Genewein, Daniel A. Braun:
Planning with Information-Processing Constraints and Model Uncertainty in Markov Decision Processes. CoRR abs/1604.02080 (2016) - 2015
- [i14]Jordi Grau-Moya, Daniel A. Braun:
Adaptive information-theoretic bounded rational decision-making with parametric priors. CoRR abs/1511.01710 (2015) - [i13]Pedro A. Ortega, Daniel A. Braun, Justin Dyer, Kee-Eung Kim, Naftali Tishby:
Information-Theoretic Bounded Rationality. CoRR abs/1512.06789 (2015) - 2013
- [i12]Pedro A. Ortega, Daniel A. Braun:
Generalized Thompson Sampling for Sequential Decision-Making and Causal Inference. CoRR abs/1303.4431 (2013) - [i11]Tim Genewein, Daniel A. Braun:
Abstraction in decision-makers with limited information processing capabilities. CoRR abs/1312.4353 (2013) - [i10]Jordi Grau-Moya, Daniel A. Braun:
Bounded Rational Decision-Making in Changing Environments. CoRR abs/1312.6726 (2013) - 2012
- [i9]Pedro A. Ortega, Daniel A. Braun:
Free Energy and the Generalized Optimality Equations for Sequential Decision Making. CoRR abs/1205.3997 (2012) - [i8]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 abs/1206.1898 (2012) - 2011
- [i7]Pedro A. Ortega, Daniel A. Braun:
Information, Utility & Bounded Rationality. CoRR abs/1107.5766 (2011) - 2010
- [i6]Pedro A. Ortega, Daniel A. Braun:
A Minimum Relative Entropy Controller for Undiscounted Markov Decision Processes. CoRR abs/1002.1480 (2010) - [i5]Pedro A. Ortega, Daniel A. Braun:
Convergence of Bayesian Control Rule. CoRR abs/1002.3086 (2010) - [i4]Pedro A. Ortega, Daniel A. Braun:
An axiomatic formalization of bounded rationality based on a utility-information equivalence. CoRR abs/1007.0940 (2010) - 2009
- [i3]Pedro A. Ortega, Daniel A. Braun:
A Bayesian Rule for Adaptive Control based on Causal Interventions. CoRR abs/0911.5104 (2009) - [i2]Pedro A. Ortega, Daniel A. Braun:
A conversion between utility and information. CoRR abs/0911.5106 (2009) - 2008
- [i1]Pedro A. Ortega, Daniel A. Braun:
A Minimum Relative Entropy Principle for Learning and Acting. CoRR abs/0810.3605 (2008)
Coauthor Index
aka: Pedro Alejandro Ortega
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