Marcel van Gerven

According to our database1, Marcel van Gerven authored at least 116 papers between 2004 and 2023.

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Bibliography

2023
Advancements in spiking neural network communication and synchronization techniques for event-driven neuromorphic systems.
Array, December, 2023

Gradient-adjusted Incremental Target Propagation Provides Effective Credit Assignment in Deep Neural Networks.
Trans. Mach. Learn. Res., 2023

Constrained Parameter Inference as a Principle for Learning.
Trans. Mach. Learn. Res., 2023

Effective Learning with Node Perturbation in Deep Neural Networks.
CoRR, 2023

A 128-channel real-time VPDNN stimulation system for a visual cortical neuroprosthesis.
Proceedings of the IEEE Biomedical Circuits and Systems Conference, 2023

2022
First Impressions: A Survey on Vision-Based Apparent Personality Trait Analysis.
IEEE Trans. Affect. Comput., 2022

Modeling, Recognizing, and Explaining Apparent Personality From Videos.
IEEE Trans. Affect. Comput., 2022

Predictive coding is a consequence of energy efficiency in recurrent neural networks.
Patterns, 2022

Explainable Deep Learning: A Field Guide for the Uninitiated.
J. Artif. Intell. Res., 2022

Optimization of Neuroprosthetic Vision via End-to-End Deep Reinforcement Learning.
Int. J. Neural Syst., 2022

Efficient Deep Reinforcement Learning with Predictive Processing Proximal Policy Optimization.
CoRR, 2022

Learning Policies for Continuous Control via Transition Models.
Proceedings of the Active Inference - Third International Workshop, 2022

Experiencing Prosthetic Vision with Event-Based Sensors.
Proceedings of the ICONS 2022: International Conference on Neuromorphic Systems, Knoxville, TN, USA, July 27, 2022

Towards Naturalistic Speech Decoding from Intracranial Brain Data.
Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022

2021
End-to-end neural system identification with neural information flow.
PLoS Comput. Biol., 2021

Detecting neural state transitions underlying event segmentation.
NeuroImage, 2021

Brain-inspired Learning Drives Advances in Neuromorphic Computing.
ERCIM News, 2021

Neuroscience-inspired perception-action in robotics: applying active inference for state estimation, control and self-perception.
CoRR, 2021

Scaling up learning with GAIT-prop.
CoRR, 2021

Automatic variational inference with cascading flows.
Proceedings of the 38th International Conference on Machine Learning, 2021

Automatic structured variational inference.
Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

2020
Classifying sex and strain from mouse ultrasonic vocalizations using deep learning.
PLoS Comput. Biol., 2020

Brain-optimized extraction of complex sound features that drive continuous auditory perception.
PLoS Comput. Biol., 2020

Validation of structural brain connectivity networks: The impact of scanning parameters.
NeuroImage, 2020

Explainable 3D Convolutional Neural Networks by Learning Temporal Transformations.
CoRR, 2020

Virtual staining for mitosis detection in Breast Histopathology.
CoRR, 2020

Spike-Timing-Dependent Inference of Synaptic Weights.
CoRR, 2020

Automatic structured variational inference.
CoRR, 2020

The Indian Chefs Process.
CoRR, 2020

The Indian Chefs Process.
Proceedings of the Thirty-Sixth Conference on Uncertainty in Artificial Intelligence, 2020

GAIT-prop: A biologically plausible learning rule derived from backpropagation of error.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

A Deep Active Inference Model of the Rubber-Hand Illusion.
Proceedings of the Active Inference - First International Workshop, 2020

Virtual Staining for Mitosis Detection in Breast Histopathology.
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

End-to-End Pixel-Based Deep Active Inference for Body Perception and Action.
Proceedings of the Joint IEEE 10th International Conference on Development and Learning and Epigenetic Robotics, 2020

2019
Current Advances in Neural Decoding.
Proceedings of the Explainable AI: Interpreting, 2019

Eye movements explain decodability during perception and cued attention in MEG.
NeuroImage, 2019

Background Hardly Matters: Understanding Personality Attribution in Deep Residual Networks.
CoRR, 2019

Causal inference using Bayesian non-parametric quasi-experimental design.
CoRR, 2019

Modulation of early visual processing alleviates capacity limits in solving multiple tasks.
CoRR, 2019

k-GANs: Ensemble of Generative Models with Semi-Discrete Optimal Transport.
CoRR, 2019

The functional role of cue-driven feature-based feedback in object recognition.
CoRR, 2019

Temporal Factorization of 3D Convolutional Kernels.
Proceedings of the 31st Benelux Conference on Artificial Intelligence (BNAIC 2019) and the 28th Belgian Dutch Conference on Machine Learning (Benelearn 2019), 2019

Forward Amortized Inference for Likelihood-Free Variational Marginalization.
Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

SpikeCaKe: Semi-Analytic Nonparametric Bayesian Inference for Spike-Spike Neuronal Connectivity.
Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

Simulating neuroprosthetic vision for emotion recognition.
Proceedings of the 8th International Conference on Affective Computing and Intelligent Interaction Workshops and Demos, 2019

2018
Multimodal First Impression Analysis with Deep Residual Networks.
IEEE Trans. Affect. Comput., 2018

Generative adversarial networks for reconstructing natural images from brain activity.
NeuroImage, 2018

Convolutional neural network-based encoding and decoding of visual object recognition in space and time.
NeuroImage, 2018

New advances in encoding and decoding of brain signals.
NeuroImage, 2018

Wasserstein Variational Gradient Descent: From Semi-Discrete Optimal Transport to Ensemble Variational Inference.
CoRR, 2018

First Impressions: A Survey on Computer Vision-Based Apparent Personality Trait Analysis.
CoRR, 2018

Explanation Methods in Deep Learning: Users, Values, Concerns and Challenges.
CoRR, 2018

Generalization of an Upper Bound on the Number of Nodes Needed to Achieve Linear Separability.
CoRR, 2018

Explaining First Impressions: Modeling, Recognizing, and Explaining Apparent Personality from Videos.
CoRR, 2018

Wasserstein Variational Inference.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

2017
The missing link: Predicting connectomes from noisy and partially observed tract tracing data.
PLoS Comput. Biol., 2017

Dynamic decomposition of spatiotemporal neural signals.
PLoS Comput. Biol., 2017

Increasingly complex representations of natural movies across the dorsal stream are shared between subjects.
NeuroImage, 2017

Modeling the Dynamics of Human Brain Activity with Recurrent Neural Networks.
Frontiers Comput. Neurosci., 2017

Editorial: Artificial Neural Networks as Models of Neural Information Processing.
Frontiers Comput. Neurosci., 2017

Computational Foundations of Natural Intelligence.
Frontiers Comput. Neurosci., 2017

Deep adversarial neural decoding.
CoRR, 2017

End-to-end semantic face segmentation with conditional random fields as convolutional, recurrent and adversarial networks.
CoRR, 2017

Reconstructing perceived faces from brain activations with deep adversarial neural decoding.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

GP CaKe: Effective brain connectivity with causal kernels.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Design of an explainable machine learning challenge for video interviews.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

Visualizing Apparent Personality Analysis with Deep Residual Networks.
Proceedings of the 2017 IEEE International Conference on Computer Vision Workshops, 2017

2016
Decoding of task-relevant and task-irrelevant intracranial EEG representations.
NeuroImage, 2016

Preference for Audiovisual Speech Congruency in Superior Temporal Cortex.
J. Cogn. Neurosci., 2016

Brains on Beats.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Brains on Beats.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Predicting and visualizing psychological attributions with a deep neural network.
Proceedings of the 23rd International Conference on Pattern Recognition, 2016

Convolutional Sketch Inversion.
Proceedings of the Computer Vision - ECCV 2016 Workshops, 2016

Deep Impression: Audiovisual Deep Residual Networks for Multimodal Apparent Personality Trait Recognition.
Proceedings of the Computer Vision - ECCV 2016 Workshops, 2016

Deep Disentangled Representations for Volumetric Reconstruction.
Proceedings of the Computer Vision - ECCV 2016 Workshops, 2016

2015
Bayesian Estimation of Conditional Independence Graphs Improves Functional Connectivity Estimates.
PLoS Comput. Biol., 2015

Measuring directionality between neuronal oscillations of different frequencies.
NeuroImage, 2015

Probabilistic model-based functional parcellation reveals a robust, fine-grained subdivision of the striatum.
NeuroImage, 2015

Predicting the Semantic Category of Internally Generated Words from Neuromagnetic Recordings.
J. Cogn. Neurosci., 2015

Modality-specific Alpha Modulations Facilitate Long-term Memory Encoding in the Presence of Distracters.
J. Cogn. Neurosci., 2015

Spreading Codes Enables the Blind Estimation of the Hemodynamic Response with Short-Events Sequences.
Int. J. Neural Syst., 2015

Predicting psychological attributions from face photographs with a deep neural network.
CoRR, 2015

Hidden Markov Models for Reading Words from the Human Brain.
Proceedings of the 2015 International Workshop on Pattern Recognition in NeuroImaging, 2015

2014
Unsupervised Feature Learning Improves Prediction of Human Brain Activity in Response to Natural Images.
PLoS Comput. Biol., 2014

Structurally-informed Bayesian functional connectivity analysis.
NeuroImage, 2014

Gaussian mixture models and semantic gating improve reconstructions from human brain activity.
Frontiers Comput. Neurosci., 2014

Quantifying uncertainty in brain network measures using Bayesian connectomics.
Frontiers Comput. Neurosci., 2014

Gaussian mixture models improve fMRI-based image reconstruction.
Proceedings of the International Workshop on Pattern Recognition in Neuroimaging, 2014

2013
Linear reconstruction of perceived images from human brain activity.
NeuroImage, 2013

MEG-based decoding of the spatiotemporal dynamics of visual category perception.
NeuroImage, 2013

Bayesian inference of structural brain networks.
NeuroImage, 2013

Decoding the memorization of individual stimuli with direct human brain recordings.
NeuroImage, 2013

Bayesian Sparse Partial Least Squares.
Neural Comput., 2013

2012
A Linear Gaussian Framework for Decoding of Perceived Images.
Proceedings of the Second International Workshop on Pattern Recognition in NeuroImaging, 2012

2011
On the use of interaction error potentials for adaptive brain computer interfaces.
Neural Networks, 2011

Dynamic decoding of ongoing perception.
NeuroImage, 2011

Covert Attention as a Paradigm for Subject-Independent Brain-Computer Interfacing.
Proceedings of the Machine Learning and Interpretation in Neuroimaging, 2011

The Dynamic Beamformer.
Proceedings of the Machine Learning and Interpretation in Neuroimaging, 2011

A Markov Random Field Approach to Neural Encoding and Decoding.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2011, 2011

2010
Design Issues for Pen-Centric Interactive Maps.
Proceedings of the Interactive Collaborative Information Systems, 2010

Efficient Bayesian multivariate fMRI analysis using a sparsifying spatio-temporal prior.
NeuroImage, 2010

Neural Decoding with Hierarchical Generative Models.
Neural Comput., 2010

2009
Iconic and multi-stroke gesture recognition.
Pattern Recognit., 2009

Selecting features for BCI control based on a covert spatial attention paradigm.
Neural Networks, 2009

Interpreting single trial data using groupwise regularisation.
NeuroImage, 2009

Bayesian Source Localization with the Multivariate Laplace Prior.
Proceedings of the Advances in Neural Information Processing Systems 22: 23rd Annual Conference on Neural Information Processing Systems 2009. Proceedings of a meeting held 7-10 December 2009, 2009

Exploring the impact of alternative feature representations on BCI classification.
Proceedings of the 17th European Symposium on Artificial Neural Networks, 2009

2008
Dynamic Bayesian networks as prognostic models for clinical patient management.
J. Biomed. Informatics, 2008

A generic qualitative characterization of independence of causal influence.
Int. J. Approx. Reason., 2008

2007
Predicting carcinoid heart disease with the noisy-threshold classifier.
Artif. Intell. Medicine, 2007

Selecting treatment strategies with dynamic limited-memory influence diagrams.
Artif. Intell. Medicine, 2007

2006
Selecting Strategies for Infinite-Horizon Dynamic LIMIDS.
Proceedings of the Third European Workshop on Probabilistic Graphical Models, 2006

2005
A Qualitative Characterisation of Causal Independence Models Using Boolean Polynomials.
Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2005

Guidelines for Probabilistic Model Qualification.
Proceedings of the BNAIC 2005, 2005

2004
Using Background Knowledge to Construct Bayesian Classifiers for Data-Poor Domains.
Proceedings of the Research and Development in Intelligent Systems XXI, 2004

Employing Maximum Mutual Information for Bayesian Classification.
Proceedings of the Biological and Medical Data Analysis, 5th International Symposium, 2004


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