Marcel A. J. van Gerven

Publication Activity (10 Years)

Years Active: 2010-2022
Publications (10 Years): 46

Top Topics

Conditional Independence

Top Venues

PLoS Comput. Biol.

J. Cogn. Neurosci.

Publications

Júlio C. S. Jacques Júnior, Yagmur Güçlütürk, Marc Pérez, Umut Güçlü, Carlos Andújar, Xavier Baró, Hugo Jair Escalante, Isabelle Guyon, Marcel A. J. van Gerven, Rob van Lier, Sergio Escalera
First Impressions: A Survey on Vision-Based Apparent Personality Trait Analysis. IEEE Trans. Affect. Comput. 13 (1) (2022)
Hugo Jair Escalante, Heysem Kaya, Albert Ali Salah, Sergio Escalera, Yagmur Güçlütürk, Umut Güçlü, Xavier Baró, Isabelle Guyon, Júlio C. S. Jacques Júnior, Meysam Madadi, Stéphane Ayache, Evelyne Viegas, Furkan Gürpinar, Achmadnoer Sukma Wicaksana, Cynthia C. S. Liem, Marcel A. J. van Gerven, Rob van Lier
Modeling, Recognizing, and Explaining Apparent Personality From Videos. IEEE Trans. Affect. Comput. 13 (2) (2022)
Abdullahi Ali, Nasir Ahmad, Elgar de Groot, Marcel A. J. van Gerven, Tim Christian Kietzmann
Predictive coding is a consequence of energy efficiency in recurrent neural networks. Patterns 3 (12) (2022)
Julia Berezutskaya, Luca Ambrogioni, Nick F. Ramsey, Marcel A. J. van Gerven
Towards Naturalistic Speech Decoding from Intracranial Brain Data. EMBC (2022)
Katja Seeliger, Luca Ambrogioni, Yagmur Güçlütürk, L. M. van den Bulk, Umut Güçlü, Marcel A. J. van Gerven
End-to-end neural system identification with neural information flow. PLoS Comput. Biol. 17 (2) (2021)
Julia Berezutskaya, Zachary Freudenburg, Umut Güçlü, Marcel A. J. van Gerven, Nick F. Ramsey
Brain-optimized extraction of complex sound features that drive continuous auditory perception. PLoS Comput. Biol. 16 (7) (2020)
Nasir Ahmad, Luca Ambrogioni, Marcel A. J. van Gerven
Spike-Timing-Dependent Inference of Synaptic Weights. CoRR (2020)
A. Ivanenko, Paul V. Watkins, Marcel A. J. van Gerven, K. Hammerschmidt, Bernhard Englitz
Classifying sex and strain from mouse ultrasonic vocalizations using deep learning. PLoS Comput. Biol. 16 (6) (2020)
Karen Sando Ambrosen, Simon F. Eskildsen, Max Hinne, Kristine Krug, Henrik Lundell, Mikkel N. Schmidt, Marcel A. J. van Gerven, Morten Mørup, Tim B. Dyrby
Validation of structural brain connectivity networks: The impact of scanning parameters. NeuroImage 204 (2020)
Cansu Sancaktar, Marcel A. J. van Gerven, Pablo Lanillos
End-to-End Pixel-Based Deep Active Inference for Body Perception and Action. ICDL-EPIROB (2020)
Nasir Ahmad, Marcel A. J. van Gerven, Luca Ambrogioni
GAIT-prop: A biologically plausible learning rule derived from backpropagation of error. NeurIPS (2020)
Nasir Ahmad, Marcel A. J. van Gerven, Luca Ambrogioni
GAIT-prop: A biologically plausible learning rule derived from backpropagation of error. CoRR (2020)
Gabriëlle Ras, Luca Ambrogioni, Pim Haselager, Marcel A. J. van Gerven, Umut Güçlü
Explainable 3D Convolutional Neural Networks by Learning Temporal Transformations. CoRR (2020)
Gabriëlle Ras, Ron Dotsch, Luca Ambrogioni, Umut Güçlü, Marcel A. J. van Gerven
Background Hardly Matters: Understanding Personality Attribution in Deep Residual Networks. CoRR (2019)
Max Hinne, Marcel A. J. van Gerven, Luca Ambrogioni
Causal inference using Bayesian non-parametric quasi-experimental design. CoRR (2019)
Sushrut Thorat, Giacomo Aldegheri, Marcel A. J. van Gerven, Marius V. Peelen
Modulation of early visual processing alleviates capacity limits in solving multiple tasks. CoRR (2019)
Caroline J. M. Bollen, Umut Güçlü, Richard J. A. van Wezel, Marcel A. J. van Gerven, Yagmur Güçlütürk
Simulating neuroprosthetic vision for emotion recognition. ACII Workshops (2019)
Gabriëlle Ras, Luca Ambrogioni, Umut Güçlü, Marcel A. J. van Gerven
Temporal Factorization of 3D Convolutional Kernels. CoRR (2019)
Silvan C. Quax, Nadine Dijkstra, Mariel J. van Staveren, Sander E. Bosch, Marcel A. J. van Gerven
Eye movements explain decodability during perception and cued attention in MEG. NeuroImage 195 (2019)
Luca Ambrogioni, Umut Güçlü, Julia Berezutskaya, Eva W. P. van den Borne, Yagmur Güçlütürk, Max Hinne, Eric Maris, Marcel A. J. van Gerven
Forward Amortized Inference for Likelihood-Free Variational Marginalization. CoRR (2018)
Luca Ambrogioni, Umut Güçlü, Yagmur Güçlütürk, Max Hinne, Marcel A. J. van Gerven, Eric Maris
Wasserstein Variational Inference. CoRR (2018)
Júlio C. S. Jacques Júnior, Yagmur Güçlütürk, Marc Pérez, Umut Güçlü, Carlos Andújar, Xavier Baró, Hugo Jair Escalante, Isabelle Guyon, Marcel A. J. van Gerven, Rob van Lier, Sergio Escalera
First Impressions: A Survey on Computer Vision-Based Apparent Personality Trait Analysis. CoRR (2018)
Hugo Jair Escalante, Heysem Kaya, Albert Ali Salah, Sergio Escalera, Yagmur Güçlütürk, Umut Güçlü, Xavier Baró, Isabelle Guyon, Júlio C. S. Jacques Júnior, Meysam Madadi, Stéphane Ayache, Evelyne Viegas, Furkan Gürpinar, Achmadnoer Sukma Wicaksana, Cynthia C. S. Liem, Marcel A. J. van Gerven, Rob van Lier
Explaining First Impressions: Modeling, Recognizing, and Explaining Apparent Personality from Videos. CoRR (2018)
Katja Seeliger, Umut Güçlü, Luca Ambrogioni, Yagmur Güçlütürk, Marcel A. J. van Gerven
Generative adversarial networks for reconstructing natural images from brain activity. NeuroImage 181 (2018)
Yagmur Güçlütürk, Umut Güçlü, Xavier Baró, Hugo Jair Escalante, Isabelle Guyon, Sergio Escalera, Marcel A. J. van Gerven, Rob van Lier
Multimodal First Impression Analysis with Deep Residual Networks. IEEE Trans. Affect. Comput. 9 (3) (2018)
Luca Ambrogioni, Umut Güçlü, Yagmur Güçlütürk, Max Hinne, Marcel A. J. van Gerven, Eric Maris
Wasserstein Variational Inference. NeurIPS (2018)
Umut Güçlü, Marcel A. J. van Gerven
Modeling the Dynamics of Human Brain Activity with Recurrent Neural Networks. Frontiers Comput. Neurosci. 11 (2017)
Yagmur Güçlütürk, Umut Güçlü, Katja Seeliger, Sander E. Bosch, Rob van Lier, Marcel A. J. van Gerven
Reconstructing perceived faces from brain activations with deep adversarial neural decoding. NIPS (2017)
Max Hinne, Annet Meijers, Rembrandt Bakker, Paul H. E. Tiesinga, Morten Mørup, Marcel A. J. van Gerven
The missing link: Predicting connectomes from noisy and partially observed tract tracing data. PLoS Comput. Biol. 13 (1) (2017)
Hugo Jair Escalante, Isabelle Guyon, Sergio Escalera, Júlio C. S. Jacques Júnior, Meysam Madadi, Xavier Baró, Stéphane Ayache, Evelyne Viegas, Yagmur Güçlütürk, Umut Güçlü, Marcel A. J. van Gerven, Rob van Lier
Design of an explainable machine learning challenge for video interviews. IJCNN (2017)
Umut Güçlü, Yagmur Güçlütürk, Meysam Madadi, Sergio Escalera, Xavier Baró, Jordi Gonzàlez, Rob van Lier, Marcel A. J. van Gerven
End-to-end semantic face segmentation with conditional random fields as convolutional, recurrent and adversarial networks. CoRR (2017)
Luca Ambrogioni, Marcel A. J. van Gerven, Eric Maris
Dynamic decomposition of spatiotemporal neural signals. PLoS Comput. Biol. 13 (5) (2017)
Yagmur Güçlütürk, Umut Güçlü, Marc Pérez, Hugo Jair Escalante, Xavier Baró, Carlos Andújar, Isabelle Guyon, Júlio C. S. Jacques Júnior, Meysam Madadi, Sergio Escalera, Marcel A. J. van Gerven, Rob van Lier
Visualizing Apparent Personality Analysis with Deep Residual Networks. ICCV Workshops (2017)
Umut Güçlü, Marcel A. J. van Gerven
Increasingly complex representations of natural movies across the dorsal stream are shared between subjects. NeuroImage 145 (2017)
Umut Güçlü, Jordy Thielen, Michael Hanke, Marcel van Gerven, Marcel A. J. van Gerven
Brains on Beats. NIPS (2016)
Yagmur Güçlütürk, Umut Güçlü, Marcel A. J. van Gerven, Rob van Lier
Deep Impression: Audiovisual Deep Residual Networks for Multimodal Apparent Personality Trait Recognition. ECCV Workshops (3) (2016)
Yagmur Güçlütürk, Umut Güçlü, Rob van Lier, Marcel A. J. van Gerven
Convolutional Sketch Inversion. ECCV Workshops (1) (2016)
Claudia S. Lüttke, Matthias Ekman, Marcel A. J. van Gerven, Floris P. de Lange
Preference for Audiovisual Speech Congruency in Superior Temporal Cortex. J. Cogn. Neurosci. 28 (1) (2016)
Yagmur Güçlütürk, Umut Güçlü, Rob van Lier, Marcel A. J. van Gerven
Convolutional Sketch Inversion. CoRR (2016)
Yagmur Güçlütürk, Umut Güçlü, Marcel A. J. van Gerven, Rob van Lier
Deep Impression: Audiovisual Deep Residual Networks for Multimodal Apparent Personality Trait Recognition. CoRR (2016)
Irina Simanova, Marcel A. J. van Gerven, Robert Oostenveld, Peter Hagoort
Predicting the Semantic Category of Internally Generated Words from Neuromagnetic Recordings. J. Cogn. Neurosci. 27 (1) (2015)
Haiteng Jiang, Marcel A. J. van Gerven, Ole Jensen
Modality-specific Alpha Modulations Facilitate Long-term Memory Encoding in the Presence of Distracters. J. Cogn. Neurosci. 27 (3) (2015)
Ronald J. Janssen, P. Jylänki, Roy P. C. Kessels, Marcel A. J. van Gerven
Probabilistic model-based functional parcellation reveals a robust, fine-grained subdivision of the striatum. NeuroImage 119 (2015)
Max Hinne, Ronald J. Janssen, Tom Heskes, Marcel A. J. van Gerven
Bayesian Estimation of Conditional Independence Graphs Improves Functional Connectivity Estimates. PLoS Comput. Biol. 11 (11) (2015)
Miguel Angel Lopez-Gordo, Daniel Sánchez Morillo, Marcel A. J. van Gerven
Spreading Codes Enables the Blind Estimation of the Hemodynamic Response with Short-Events Sequences. Int. J. Neural Syst. 25 (1) (2015)
Haiteng Jiang, Ali Bahramisharif, Marcel A. J. van Gerven, Ole Jensen
Measuring directionality between neuronal oscillations of different frequencies. NeuroImage 118 (2015)
Ronald J. Janssen, Max Hinne, Tom Heskes, Marcel A. J. van Gerven
Quantifying uncertainty in brain network measures using Bayesian connectomics. Frontiers Comput. Neurosci. 8 (2014)
Umut Güçlü, Marcel A. J. van Gerven
Unsupervised Feature Learning Improves Prediction of Human Brain Activity in Response to Natural Images. PLoS Comput. Biol. 10 (8) (2014)
Max Hinne, Luca Ambrogioni, Ronald J. Janssen, Tom Heskes, Marcel A. J. van Gerven
Structurally-informed Bayesian functional connectivity analysis. NeuroImage 86 (2014)
Max Hinne, Tom Heskes, Christian F. Beckmann, Marcel A. J. van Gerven
Bayesian inference of structural brain networks. NeuroImage 66 (2013)
Marcel A. J. van Gerven, Eric Maris, Michael R. Sperling, Ashwini Sharan, Brian Litt, Christopher Anderson, Gordon Baltuch, Joshua Jacobs
Decoding the memorization of individual stimuli with direct human brain recordings. NeuroImage 70 (2013)
Diego Vidaurre, Marcel A. J. van Gerven, Concha Bielza, Pedro Larrañaga, Tom Heskes
Bayesian Sparse Partial Least Squares. Neural Comput. 25 (12) (2013)
Marieke E. van de Nieuwenhuijzen, A. R. Backus, Ali Bahramisharif, Christian F. Doeller, Ole Jensen, Marcel A. J. van Gerven
MEG-based decoding of the spatiotemporal dynamics of visual category perception. NeuroImage 83 (2013)
Marcel A. J. van Gerven, Tom Heskes
A Linear Gaussian Framework for Decoding of Perceived Images. PRNI (2012)
Alberto Llera, Marcel A. J. van Gerven, Vicenç Gómez, Ole Jensen, Hilbert J. Kappen
On the use of interaction error potentials for adaptive brain computer interfaces. Neural Networks 24 (10) (2011)
Hans J. P. Wouters, Marcel A. J. van Gerven, Matthias Sebastian Treder, Tom Heskes, Ali Bahramisharif
Covert Attention as a Paradigm for Subject-Independent Brain-Computer Interfacing. MLINI (2011)
Ali Bahramisharif, Marcel A. J. van Gerven, Jan-Mathijs Schoffelen, Zoubin Ghahramani, Tom Heskes
The Dynamic Beamformer. MLINI (2011)
Marcel A. J. van Gerven, Botond Cseke, Floris P. de Lange, Tom Heskes
Efficient Bayesian multivariate fMRI analysis using a sparsifying spatio-temporal prior. NeuroImage 50 (1) (2010)