Tim Genewein

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Algorithms for Causal Reasoning in Probability Trees

Tim Genewein, Tom McGrath, Grégoire Déletang, Vladimir Mikulik, Miljan Martic,Shane Legg,Pedro A. Ortega

Bibtex

Meta-trained agents implement Bayes-optimal agents

Vladimir Mikulik, Grégoire Delétang, Tom McGrath,Tim Genewein, Miljan Martic,Shane Legg, Pedro Ortega

NIPS 2020, (2020)

EIBibtex

Group Pruning Using a Bounded-ℓp Norm for Group Gating and Regularization

Chaithanya Kumar Mummadi,Tim Genewein,Dan Zhang,Thomas Brox, Volker Fischer

GCPR, pp.139-155, (2019)

EIBibtex

Meta-learning of Sequential Strategies

Pedro A. Ortega,Jane X. Wang,Mark Rowland,Tim Genewein,Zeb Kurth-Nelson,Razvan Pascanu,Nicolas Heess,Joel Veness, Alexander Pritzel,Pablo Sprechmann, Siddhant M. Jayakumar, Tom McGrath

arXiv: Learning, (2019)

Cited by29EIBibtex

Variational Network Quantization

Jan Achterhold, Jan M. Köhler,Anke Schmeink,Tim Genewein

ICLR, (2018)

EIBibtex

The Power of Ensembles for Active Learning in Image Classification

William H. Beluch,Tim Genewein,Andreas Nürnberger, Jan M. Köhler

CVPR, pp.9368-9377, (2018)

Cited by83EIBibtex

On Detecting Adversarial Perturbations

Jan Hendrik Metzen,Tim Genewein,Volker Fischer,Bastian Bischoff

ICLR, (2017)

Cited by153EIBibtex

An information-theoretic on-line update principle for perception-action coupling

Zhen Peng,Tim Genewein,Felix Leibfried,Daniel A. Braun

intelligent robots and systems, (2017)

Cited by5EIBibtex

Planning with Information-Processing Constraints and Model Uncertainty in Markov Decision Processes

Jordi Grau-Moya,Felix Leibfried,Tim Genewein,Daniel A. Braun

ECML/PKDD, (2016): 475-491

Cited by8EIBibtex

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

Tim Genewein,Daniel A. Braun

Biological Cybernetics, no. 2-3 (2016): 135-150

Cited by2EIWOSBibtex

Structure Learning in Bayesian Sensorimotor Integration

Tim Genewein, Eduard Hez, Zeynab Razzaghpanah,Daniel A. Braun

PLOS COMPUTATIONAL BIOLOGY, no. 8 (2015)

Cited by7EIBibtex

Bounded Rationality, Abstraction, and Hierarchical Decision-Making: An Information-Theoretic Optimality Principle

Tim Genewein,Felix Leibfried,Jordi Graumoya,Daniel A Braun

FRONTIERS IN ROBOTICS AND AI, (2015)

Cited by18EIBibtex

Abstraction in decision-makers with limited information processing capabilities

Tim Genewein,Daniel A. Braun

neural information processing systems, (2013): 1-9

Cited by3EIBibtex

A Nonparametric Conjugate Prior Distribution for the Maximizing Argument of a Noisy Function

Pedro A. Ortega,Jordi Grau-Moya,Tim Genewein,David Balduzzi,Daniel A. Braun

NIPS, (2012): 3014-3022

Cited by2EIBibtex

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Tim GeneweinBinding

Papers14 papers

Tim Genewein