Johan Kwisthout
Johan Kwisthout
Associate Professor, Radboud University Nijmegen, Donders Center for Cognition
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Most probable explanations in Bayesian networks: Complexity and tractability
J Kwisthout
International Journal of Approximate Reasoning 52 (9), 1452-1469, 2011
Bayesian intractability is not an ailment that approximation can cure.
J Kwisthout, T Wareham, I van Rooij
Cogn. Sci. 35 (5), 779-784, 2011
The Necessity of Bounded Treewidth for Efficient Inference in Bayesian Networks.
J Kwisthout, HL Bodlaender, LC van der Gaag
ECAI 215, 237-242, 2010
Community-based influence maximization in social networks under a competitive linear threshold model
A Bozorgi, S Samet, J Kwisthout, T Wareham
Knowledge-Based Systems 134, 149-158, 2017
To be precise, the details don’t matter: On predictive processing, precision, and level of detail of predictions
J Kwisthout, H Bekkering, I Van Rooij
Brain and cognition 112, 84-91, 2017
Bridging the gap between theory and practice of approximate Bayesian inference
J Kwisthout, I Van Rooij
Cognitive Systems Research 24, 2-8, 2013
Beta-and gamma-band activity reflect predictive coding in the processing of causal events
S van Pelt, L Heil, J Kwisthout, S Ondobaka, I van Rooij, H Bekkering
Social cognitive and affective neuroscience 11 (6), 973-980, 2016
Intentional communication: Computationally easy or difficult?
I Van Rooij, J Kwisthout, M Blokpoel, J Szymanik, T Wareham, I Toni
Frontiers in Human Neuroscience 5, 52, 2011
Joint attention and language evolution
J Kwisthout, P Vogt, P Haselager, T Dijkstra
Connection Science 20 (2-3), 155-171, 2008
The computational complexity of probabilistic networks
JHP Kwisthout
Utrecht University, 2009
How action understanding can be rational, Bayesian and tractable
M Blokpoel, JHP Kwisthout, TP Weide, I van Rooij
Austin: Cognitive Science Society, 2010
Rational analysis, intractability, and the prospects of ‘as if’-explanations
I van Rooij, CD Wright, J Kwisthout, T Wareham
Synthese 195 (2), 491-510, 2018
Cognition and intractability: A guide to classical and parameterized complexity analysis
I van Rooij, M Blokpoel, J Kwisthout, T Wareham
Cambridge University Press, 2019
A computational-level explanation of the speed of goal inference
M Blokpoel, J Kwisthout, TP van der Weide, T Wareham, I van Rooij
Journal of Mathematical Psychology 57 (3-4), 117-133, 2013
When can predictive brains be truly Bayesian?
M Blokpoel, J Kwisthout, I van Rooij
Frontiers in psychology 3, 406, 2012
The computational complexity of sensitivity analysis and parameter tuning
J Kwisthout, LC Van Der Gaag
arXiv preprint arXiv:1206.3265, 2012
The computational complexity of probabilistic inference
J Kwisthout
Radboud University Nijmegen, 2011
Perception is in the Details: A Predictive Coding Account of the Psychedelic Phenomenon.
S Pink-Hashkes, I van Rooij, J Kwisthout
CogSci, 2017
Best-response planning of thermostatically controlled loads under power constraints
F De Nijs, MTJ Spaan, MM de Weerdt
Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015
The complexity of finding kth most probable explanations in probabilistic networks
JHP Kwisthout, HL Bodlaender, LC Van Der Gaag
International Conference on Current Trends in Theory and Practice of …, 2011
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