Johan Kwisthout

Publication Activity (10 Years)

Years Active: 2005-2024
Publications (10 Years): 33

Top Topics

Inference In Bayesian Networks

Bayesian Networks

Parameterized Complexity

Computational Complexity

Top Venues

Probabilistic Graphical Models

Publications

Mark Peelen, Leila Bagheriye, Johan Kwisthout
Cancer Subtype Identification Through Integrating Inter and Intra Dataset Relationships in Multi-Omics Data. IEEE Access 12 (2024)
Charles Theodore Kent, Leila Bagheriye, Johan Kwisthout
Neural Population Decoding and Imbalanced Multi-Omic Datasets For Cancer Subtype Diagnosis. CoRR (2024)
Charles Theodore Kent, Leila Bagheriye, Johan Kwisthout
Neural Population Decoding and Imbalanced Multi-Omic Datasets for Cancer Subtype Diagnosis. BIOSTEC (1) (2024)
Otto van der Himst, Leila Bagheriye, Johan Kwisthout
Bayesian Integration of Information Using Top-Down Modulated WTA Networks. CoRR (2023)
Mark Peelen, Leila Bagheriye, Johan Kwisthout
Cancer Subtype Identification through Integrating Inter and Intra Dataset Relationships in Multi-Omics Data. CoRR (2023)
Johan Kwisthout
Motivating explanations in Bayesian networks using MAP-independence. Int. J. Approx. Reason. 153 (2023)
Dominique J. Kösters, Bryan A. Kortman, Irem Boybat, Elena Ferro, Sagar Dolas, Roberto de Austri, Johan Kwisthout, Hans Hilgenkamp, Theo Rasing, Heike Riel, Abu Sebastian, Sascha Caron, Johan H. Mentink
Benchmarking energy consumption and latency for neuromorphic computing in condensed matter and particle physics. CoRR (2022)
Johan Kwisthout
Motivating explanations in Bayesian networks using MAP-independence. CoRR (2022)
Danaja Rutar, Wanja Wiese, Johan Kwisthout
From representations in predictive processing to degrees of representational features. Minds Mach. 32 (3) (2022)
Hans L. Bodlaender, Nils Donselaar, Johan Kwisthout
Parameterized Completeness Results for Bayesian Inference. PGM (2022)
Johan Kwisthout
Speeding up approximate MAP by applying domain knowledge about relevant variables. PGM (2022)
Hans L. Bodlaender, Nils Donselaar, Johan Kwisthout
Parameterized Complexity Results for Bayesian Inference. CoRR (2022)
Erwin de Wolff, Iris van Rooij, Johan Kwisthout
Certainly Strange: A Probabilistic Perspective on Ignorance. CogSci (2021)
Johan Kwisthout
Explainable AI Using MAP-Independence. ECSQARU (2021)
Stefan Iacob, Johan Kwisthout, Serge Thill
From Models of Cognition to Robot Control and Back Using Spiking Neural Networks. Living Machines (2020)
Johan Kwisthout, Nils Donselaar
On the computational power and complexity of Spiking Neural Networks. NICE (2020)
Johan Kwisthout, Nils Donselaar
On the computational power and complexity of Spiking Neural Networks. CoRR (2020)
Siegfried Ludwig, Joeri Hartjes, Bram Pol, Gabriela Rivas, Johan Kwisthout
A Spiking Neuron Implementation of Genetic Algorithms for Optimization. BNAIC/BENELEARN (Selected Papers) (2020)
Lieke Heil, Olympia Colizoli, Egbert Hartstra, Johan Kwisthout, Stan van Pelt, Iris van Rooij, Harold Bekkering
Processing of Prediction Errors in Mentalizing Areas. J. Cogn. Neurosci. 31 (6) (2019)
Abdullahi Ali, Johan Kwisthout
A spiking neural algorithm for the Network Flow problem. CoRR (2019)
Johan Kwisthout
Finding dissimilar explanations in Bayesian networks: Complexity results. CoRR (2018)
Johan Kwisthout
Finding Dissimilar Explanations in Bayesian Networks: Complexity Results. BNCAI (2018)
Johan Kwisthout
Approximate inference in Bayesian networks: Parameterized complexity results. Int. J. Approx. Reason. 93 (2018)
Iris van Rooij, Cory D. Wright, Johan Kwisthout, Todd Wareham
Rational analysis, intractability, and the prospects of 'as if'-explanations. Synth. 195 (2) (2018)
Arastoo Bozorgi, Saeed Samet, Johan Kwisthout, Todd Wareham
Community-based influence maximization in social networks under a competitive linear threshold model. Knowl. Based Syst. 134 (2017)
Sarit Pink-Hashkes, Iris van Rooij, Johan Kwisthout
Perception is in the Details: A Predictive Coding Account of the Psychedelic Phenomenon. CogSci (2017)
Johan Kwisthout
The Parameterized Complexity of Approximate Inference in Bayesian Networks. Probabilistic Graphical Models (2016)
Lorijn Zaadnoordijk, Maria Otworowska, Johan Kwisthout, Sabine Hunnius, Iris van Rooij
The mobile-paradigm as measure of infants' sense of agency? Insights from babybot simulations. ICDL-EPIROB (2016)
Maria Otworowska, Lorijn Zaadnoordijk, Erwin de Wolff, Johan Kwisthout, Iris van Rooij
Causal learning in the Crib: A predictive processing formalization and babybot simulation. ICDL-EPIROB (2016)
Lorijn Zaadnoordijk, Sabine Hunnius, Marlene Meyer, Johan Kwisthout, Iris van Rooij
What senses of agency can infants have? CogSci (2015)
Johan Kwisthout
Most frugal explanations in Bayesian networks. Artif. Intell. 218 (2015)
Lorijn Zaadnoordijk, Sabine Hunnius, Marlene Meyer, Johan Kwisthout, Iris van Rooij
The developing sense of agency: Implications from cognitive phenomenology. ICDL-EPIROB (2015)
Johan Kwisthout
Tree-Width and the Computational Complexity of MAP Approximations in Bayesian Networks. J. Artif. Intell. Res. 53 (2015)
Johan Kwisthout, Maria Otworowska, Harold Bekkering, Iris van Rooij
Leaving Andy Clark's 'safe shores': Scaling predictive processing to higher cognition. CogSci (2014)
Johan Kwisthout
Treewidth and the Computational Complexity of MAP Approximations. Probabilistic Graphical Models (2014)
Johan Kwisthout
Minimizing Relative Entropy in Hierarchical Predictive Coding. Probabilistic Graphical Models (2014)
Johan Kwisthout, Iris van Rooij, Matteo Colombo, Carlos Zednik, William A. Phillips
Constraints on Bayesian Explanation. CogSci (2013)
Johan Kwisthout, Iris van Rooij
Bridging the gap between theory and practice of approximate Bayesian inference. Cogn. Syst. Res. 24 (2013)
Iris van Rooij, Johan Kwisthout, Mark Blokpoel, Todd Wareham
Computational complexity analysis for cognitive scientists. CogSci (2013)
Johan Kwisthout
Structure Approximation of Most Probable Explanations in Bayesian Networks. ECSQARU (2013)
Johan Kwisthout, Iris van Rooij
Predictive coding and the Bayesian brain: Intractability hurdles that are yet to be overcome. CogSci (2013)
Johan Kwisthout
Most Inforbable Explanations: Finding Explanations in Bayesian Networks That Are Both Probable and Informative. ECSQARU (2013)
Johan Kwisthout, Linda C. van der Gaag
The Computational Complexity of Sensitivity Analysis and Parameter Tuning CoRR (2012)
Johan Kwisthout
Relevancy in Problem Solving: A Computational Framework. J. Probl. Solving 5 (1) (2012)
Johan Kwisthout
Most probable explanations in Bayesian networks: Complexity and tractability. Int. J. Approx. Reason. 52 (9) (2011)
Johan Kwisthout, Hans L. Bodlaender, Linda C. van der Gaag
th Most Probable Explanations in Probabilistic Networks. SOFSEM (2011)
Mark Blokpoel, Johan Kwisthout, Todd Wareham, Pim Haselager, Ivan Toni, Iris van Rooij
The computational costs of recipient design and intention recognition in communication. CogSci (2011)
Todd Wareham, Johan Kwisthout, Pim Haselager, Iris van Rooij
Ignorance is bliss: A complexity perspective on adapting reactive architectures. ICDL-EPIROB (2011)
Johan Kwisthout, Todd Wareham, Iris van Rooij
Bayesian Intractability Is Not an Ailment That Approximation Can Cure. Cogn. Sci. 35 (5) (2011)
Johan Kwisthout, Hans L. Bodlaender, Linda C. van der Gaag
The Necessity of Bounded Treewidth for Efficient Inference in Bayesian Networks. ECAI (2010)
Johan Kwisthout, Linda C. van der Gaag
The Computational Complexity of Sensitivity Analysis and Parameter Tuning. UAI (2008)
Johan Kwisthout, Paul Vogt, Pim Haselager, Ton Dijkstra
Joint attention and language evolution. Connect. Sci. 20 (2&3) (2008)
Johan Kwisthout, Gerard Tel
Complexity results for enhanced qualitative probabilistic networks. Int. J. Approx. Reason. 48 (3) (2008)
Johan Kwisthout, Hans L. Bodlaender, Gerard Tel
Local Monotonicity in Probabilistic Networks. ECSQARU (2007)
Johan Kwisthout
The Computational Complexity of Monotonicity in Probabilistic Networks. FCT (2007)
Johan Kwisthout, Gerard Tel
Complexity Results for Enhanced Qualitative Probabilistic Networks. Probabilistic Graphical Models (2006)
Johan Kwisthout, Mehdi Dastani
Modelling Uncertainty in Agent Programming. DALT (2005)
Johan Kwisthout, Mehdi Dastani
Modelling Uncertainty in Agent Programming. BNAIC (2005)