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Neuroscience-inspired perception-action in robotics: applying active inference for state estimation, control and self-perception


May 10, 2021
Pablo Lanillos, Marcel van Gerven

* Accepted at ICLR 2021 Brain2AI workshop 

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Scaling up learning with GAIT-prop


Feb 23, 2021
Sander Dalm, Nasir Ahmad, Luca Ambrogioni, Marcel van Gerven


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Automatic variational inference with cascading flows


Feb 09, 2021
Luca Ambrogioni, Gianluigi Silvestri, Marcel van Gerven


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A deep active inference model of the rubber-hand illusion


Aug 17, 2020
Thomas Rood, Marcel van Gerven, Pablo Lanillos

* 8 pages, 3 figures, Accepted in 1st International Workshop on Active Inference, in Conjunction with European Conference of Machine Learning 2020 

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Explainable Deep Learning: A Field Guide for the Uninitiated


Apr 30, 2020
Ning Xie, Gabrielle Ras, Marcel van Gerven, Derek Doran

* Survey paper on Explainable Deep Learning, 54 pages including references 

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Virtual staining for mitosis detection in Breast Histopathology


Mar 17, 2020
Caner Mercan, Germonda Reijnen-Mooij, David Tellez Martin, Johannes Lotz, Nick Weiss, Marcel van Gerven, Francesco Ciompi

* 5 pages, 4 figures. Accepted for publication at the IEEE International Symposium on Biomedical Imaging (ISBI), 2020 

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Automatic structured variational inference


Feb 03, 2020
Luca Ambrogioni, Max Hinne, Marcel van Gerven


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The Indian Chefs Process


Jan 29, 2020
Patrick Dallaire, Luca Ambrogioni, Ludovic Trottier, Umut Güçlü, Max Hinne, Philippe Giguère, Brahim Chaib-Draa, Marcel van Gerven, Francois Laviolette


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k-GANs: Ensemble of Generative Models with Semi-Discrete Optimal Transport


Jul 09, 2019
Luca Ambrogioni, Umut Güçlü, Marcel van Gerven


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The functional role of cue-driven feature-based feedback in object recognition


Mar 25, 2019
Sushrut Thorat, Marcel van Gerven, Marius Peelen

* 4 pages, 4 figures, published at the Conference on Cognitive Computational Neuroscience (CCN) 2018 

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Wasserstein Variational Gradient Descent: From Semi-Discrete Optimal Transport to Ensemble Variational Inference


Nov 07, 2018
Luca Ambrogioni, Umut Guclu, Yagmur Gucluturk, Marcel van Gerven


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Explanation Methods in Deep Learning: Users, Values, Concerns and Challenges


Mar 29, 2018
Gabrielle Ras, Marcel van Gerven, Pim Haselager

* 14 pages, 1 figure, This article will appear as a chapter in Explainable and Interpretable Models in Computer Vision and Machine Learning Springer series on Challenges in Machine Learning 

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Generalization of an Upper Bound on the Number of Nodes Needed to Achieve Linear Separability


Feb 10, 2018
Marjolein Troost, Katja Seeliger, Marcel van Gerven

* Presented at the 29th Benelux Conference on Artificial Intelligence (BNAIC 2017) 

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Deep adversarial neural decoding


Jun 15, 2017
Yağmur Güçlütürk, Umut Güçlü, Katja Seeliger, Sander Bosch, Rob van Lier, Marcel van Gerven

* Added appendix and updated figures 

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GP CaKe: Effective brain connectivity with causal kernels


May 16, 2017
Luca Ambrogioni, Max Hinne, Marcel van Gerven, Eric Maris


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Estimating Nonlinear Dynamics with the ConvNet Smoother


Apr 21, 2017
Luca Ambrogioni, Umut Güçlü, Eric Maris, Marcel van Gerven


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NIPS 2016 Workshop on Representation Learning in Artificial and Biological Neural Networks (MLINI 2016)


Apr 10, 2017
Leila Wehbe, Anwar Nunez-Elizalde, Marcel van Gerven, Irina Rish, Brian Murphy, Moritz Grosse-Wentrup, Georg Langs, Guillermo Cecchi


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Predicting and visualizing psychological attributions with a deep neural network


Dec 24, 2016
Edward Grant, Stephan Sahm, Mariam Zabihi, Marcel van Gerven


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Deep disentangled representations for volumetric reconstruction


Oct 12, 2016
Edward Grant, Pushmeet Kohli, Marcel van Gerven


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