Johan Kwisthout

IEEE Access, 2024

Neural Population Decoding and Imbalanced Multi-Omic Datasets for Cancer Subtype Diagnosis.

[BibT_eX]

[DOI]

Charles Theodore Kent

Leila Bagheriye

Proceedings of the 17th International Joint Conference on Biomedical Engineering Systems and Technologies, 2024

2023

Motivating explanations in Bayesian networks using MAP-independence.

[BibT_eX]

[DOI]

Int. J. Approx. Reason., 2023

Bayesian Integration of Information Using Top-Down Modulated WTA Networks.

[BibT_eX]

[DOI]

Otto van der Himst

Leila Bagheriye

CoRR, 2023

2022

From representations in predictive processing to degrees of representational features.

[BibT_eX]

[DOI]

Danaja Rutar

Wanja Wiese

Minds Mach., 2022

Benchmarking energy consumption and latency for neuromorphic computing in condensed matter and particle physics.

[BibT_eX]

[DOI]

CoRR, 2022

Parameterized Complexity Results for Bayesian Inference.

[BibT_eX]

[DOI]

Nils Donselaar

CoRR, 2022

Speeding up approximate MAP by applying domain knowledge about relevant variables.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Probabilistic Graphical Models, 2022

Parameterized Completeness Results for Bayesian Inference.

[BibT_eX]

[DOI]

Nils Donselaar

Proceedings of the International Conference on Probabilistic Graphical Models, 2022

2021

Explainable AI Using MAP-Independence.

[BibT_eX]

[DOI]

Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2021

Certainly Strange: A Probabilistic Perspective on Ignorance.

[BibT_eX]

[DOI]

Erwin de Wolff

Proceedings of the 43rd Annual Meeting of the Cognitive Science Society, 2021

2020

On the computational power and complexity of Spiking Neural Networks.

[BibT_eX]

[DOI]

Nils Donselaar

Proceedings of the NICE '20: Neuro-inspired Computational Elements Workshop, 2020

From Models of Cognition to Robot Control and Back Using Spiking Neural Networks.

[BibT_eX]

[DOI]

Stefan Iacob

Serge Thill

Proceedings of the Biomimetic and Biohybrid Systems - 9th International Conference, 2020

A Spiking Neuron Implementation of Genetic Algorithms for Optimization.

[BibT_eX]

[DOI]

Proceedings of the Artificial Intelligence and Machine Learning - 32nd Benelux Conference, 2020

2019

Processing of Prediction Errors in Mentalizing Areas.

[BibT_eX]

[DOI]

J. Cogn. Neurosci., 2019

A spiking neural algorithm for the Network Flow problem.

[BibT_eX]

[DOI]

Abdullahi Ali

CoRR, 2019

Cognition and intractability: a guide to classical and parameterized complexity analysis.

[BibT_eX]

[DOI]

Cambridge University Press, ISBN: 9781107358331, 2019

2018

Rational analysis, intractability, and the prospects of 'as if'-explanations.

[BibT_eX]

[DOI]

Synth., 2018

Approximate inference in Bayesian networks: Parameterized complexity results.

[BibT_eX]

[DOI]

Int. J. Approx. Reason., 2018

Finding Dissimilar Explanations in Bayesian Networks: Complexity Results.

[BibT_eX]

[DOI]

Proceedings of the Artificial Intelligence - 30th Benelux Conference, 2018

2017

Community-based influence maximization in social networks under a competitive linear threshold model.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2017

Perception is in the Details: A Predictive Coding Account of the Psychedelic Phenomenon.

[BibT_eX]

[DOI]

Sarit Pink-Hashkes

Proceedings of the 39th Annual Meeting of the Cognitive Science Society, 2017

2016

The Parameterized Complexity of Approximate Inference in Bayesian Networks.

[BibT_eX]

[DOI]

Proceedings of the Probabilistic Graphical Models - Eighth International Conference, 2016

The mobile-paradigm as measure of infants' sense of agency? Insights from babybot simulations.

[BibT_eX]

[DOI]

Proceedings of the 2016 Joint IEEE International Conference on Development and Learning and Epigenetic Robotics, 2016

Causal learning in the Crib: A predictive processing formalization and babybot simulation.

[BibT_eX]

[DOI]

Proceedings of the 2016 Joint IEEE International Conference on Development and Learning and Epigenetic Robotics, 2016

2015

Tree-Width and the Computational Complexity of MAP Approximations in Bayesian Networks.

[BibT_eX]

[DOI]

J. Artif. Intell. Res., 2015

Most frugal explanations in Bayesian networks.

[BibT_eX]

[DOI]

Artif. Intell., 2015

The developing sense of agency: Implications from cognitive phenomenology.

[BibT_eX]

[DOI]

Proceedings of the 2015 Joint IEEE International Conference on Development and Learning and Epigenetic Robotics, 2015

What senses of agency can infants have?

[BibT_eX]

[DOI]

Proceedings of the 37th Annual Meeting of the Cognitive Science Society, 2015

2014

Treewidth and the Computational Complexity of MAP Approximations.

[BibT_eX]

[DOI]

Proceedings of the Probabilistic Graphical Models - 7th European Workshop, 2014

Minimizing Relative Entropy in Hierarchical Predictive Coding.

[BibT_eX]

[DOI]

Proceedings of the Probabilistic Graphical Models - 7th European Workshop, 2014

Leaving Andy Clark's 'safe shores': Scaling predictive processing to higher cognition.

[BibT_eX]

[DOI]

Proceedings of the 36th Annual Meeting of the Cognitive Science Society, 2014

2013

Bridging the gap between theory and practice of approximate Bayesian inference.

[BibT_eX]

[DOI]

Cogn. Syst. Res., 2013

Structure Approximation of Most Probable Explanations in Bayesian Networks.

[BibT_eX]

[DOI]

Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2013

Most Inforbable Explanations: Finding Explanations in Bayesian Networks That Are Both Probable and Informative.

[BibT_eX]

[DOI]

Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2013

Computational complexity analysis for cognitive scientists.

[BibT_eX]

[DOI]

Proceedings of the 35th Annual Meeting of the Cognitive Science Society, 2013

Constraints on Bayesian Explanation.

[BibT_eX]

[DOI]

Proceedings of the 35th Annual Meeting of the Cognitive Science Society, 2013

Predictive coding and the Bayesian brain: Intractability hurdles that are yet to be overcome.

[BibT_eX]

[DOI]

Proceedings of the 35th Annual Meeting of the Cognitive Science Society, 2013

2012

Relevancy in Problem Solving: A Computational Framework.

[BibT_eX]

[DOI]

J. Probl. Solving, 2012

2011

Most probable explanations in Bayesian networks: Complexity and tractability.

[BibT_eX]

[DOI]

Int. J. Approx. Reason., 2011

Bayesian Intractability Is Not an Ailment That Approximation Can Cure.

[BibT_eX]

[DOI]

Todd Wareham

Cogn. Sci., 2011

The Complexity of Finding <i>k</i>th Most Probable Explanations in Probabilistic Networks.

[BibT_eX]

[DOI]

Linda C. van der Gaag

Proceedings of the SOFSEM 2011: Theory and Practice of Computer Science, 2011

Ignorance is bliss: A complexity perspective on adapting reactive architectures.

[BibT_eX]

[DOI]

Proceedings of the 1st International Conference on Development and Learning and on Epigenetic Robotics, 2011

The computational costs of recipient design and intention recognition in communication.

[BibT_eX]

[DOI]

Proceedings of the 33th Annual Meeting of the Cognitive Science Society, 2011

2010

The Necessity of Bounded Treewidth for Efficient Inference in Bayesian Networks.

[BibT_eX]

[DOI]

Linda C. van der Gaag

Proceedings of the ECAI 2010, 2010

2008

Complexity results for enhanced qualitative probabilistic networks.

[BibT_eX]

[DOI]

Gerard Tel

Int. J. Approx. Reason., 2008

Joint attention and language evolution.

[BibT_eX]

[DOI]

Connect. Sci., 2008

The Computational Complexity of Sensitivity Analysis and Parameter Tuning.

[BibT_eX]

[DOI]

Linda C. van der Gaag

Proceedings of the UAI 2008, 2008

2007

The Computational Complexity of Monotonicity in Probabilistic Networks.

[BibT_eX]

[DOI]

Proceedings of the Fundamentals of Computation Theory, 16th International Symposium, 2007

Local Monotonicity in Probabilistic Networks.

[BibT_eX]

[DOI]

Gerard Tel

Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2007

2005

Modelling Uncertainty in Agent Programming.

[BibT_eX]

[DOI]