Marcel van Gerven

110 papers A* 1A 4B 2C 1Journal 81Unranked 20

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Discovering continuous-time memory-based symbolic policies using genetic programming. Genet. Program. Evolvable Mach. Sigur de Vries, Sander Keemink, Marcel van Gerven
2026	J	`jnl`	Vibrational Control of Complex Networks. IEEE Trans. Control. Netw. Syst. Yuzhen Qin, Fabio Pasqualetti, Danielle S. Bassett, Marcel van Gerven
2025	J	`jnl`	A Unified Perspective on Optimization in Machine Learning and Neuroscience: From Gradient Descent to Neural Adaptation. CoRR Jesús García Fernández, Nasir Ahmad, Marcel van Gerven
2025	J	`jnl`	Abmax: A JAX-based Agent-based Modeling Framework. CoRR Siddharth Chaturvedi, Ahmed ElGazzar, Marcel van Gerven
2025	J	`jnl`	Automated Discovery of Laser Dicing Processes with Bayesian Optimization for Semiconductor Manufacturing. CoRR David Leeftink, Roman Doll, Heleen Visserman, Marco Post, Faysal Boughorbel, Max Hinne, Marcel van Gerven
2025	J	`jnl`	Control of Discrete-Time Linear Systems with Charge-Balanced Inputs. CoRR Yuzhen Qin, Zonglin Liu, Marcel van Gerven
2025	J	`jnl`	Decorrelated Soft Actor-Critic for Efficient Deep Reinforcement Learning. CoRR Burcu Küçükoglu, Sander Dalm, Marcel van Gerven
2025	J	`jnl`	Decorrelation Speeds Up Vision Transformers. CoRR Kieran Carrigg, Rob van Gastel, Melda Yeghaian, Sander Dalm, Faysal Boughorbel, Marcel van Gerven
2025	J	`jnl`	ELVSR: An efficient and lightweight convolutional neural network for FPGA-based FHD to UHD video super-resolution. Array Amirhossein Sadough, Mahyar Shahsavari, Mark Wijtvliet, Marcel van Gerven
2025	J	`jnl`	Emergence of Internal State-Modulated Swarming in Multi-Agent Patch Foraging System. CoRR Siddharth Chaturvedi, Ahmed El-Gazzar, Marcel van Gerven
2025	J	`jnl`	General-purpose audio representation learning for real-world sound scenes. CoRR Goksenin Yuksel, Marcel van Gerven, Kiki van der Heijden
2025	J	`jnl`	Generative Modeling of Clinical Time Series via Latent Stochastic Differential Equations. CoRR Muhammad Aslanimoghanloo, Ahmed ElGazzar, Marcel van Gerven
2025	J	`jnl`	Leveraging Spatial Cues from Cochlear Implant Microphones to Efficiently Enhance Speech Separation in Real-World Listening Scenes. CoRR Feyisayo Olalere, Kiki van der Heijden, H. Christiaan Stronks, Jeroen J. Briaire, Johan H. M. Frijns, Marcel van Gerven
2025	—	`conf`	Modeling and Detection of Critical Slowing Down in Epileptic Dynamics. ECC Yuzhen Qin, Marcel van Gerven
2025	J	`jnl`	Neuromorphic Intelligence. CoRR Marcel van Gerven
2025	J	`jnl`	Noise-based reward-modulated learning. CoRR Jesús García Fernández, Nasir Ahmad, Marcel van Gerven
2025	—	`conf`	Optimal Control of Probabilistic Dynamics Models via Mean Hamiltonian Minimization. CDC David Leeftink, Çagatay Yildiz, Steffen Ridderbusch, Max Hinne, Marcel van Gerven
2025	J	`jnl`	Probabilistic Forecasting via Autoregressive Flow Matching. CoRR Ahmed ElGazzar, Marcel van Gerven
2025	J	`jnl`	Probabilistic Pontryagin's Maximum Principle for Continuous-Time Model-Based Reinforcement Learning. CoRR David Leeftink, Çagatay Yildiz, Steffen Ridderbusch, Max Hinne, Marcel van Gerven
2025	J	`jnl`	Real-Time Decorrelation-Based Anomaly Detection for Multivariate Time Series. CoRR Amirhossein Sadough, Mahyar Shahsavari, Mark Wijtvliet, Marcel van Gerven
2025	J	`jnl`	Spiking Neural Networks for Continuous Control via End-to-End Model-Based Learning. CoRR Justus F. Hübotter, Pablo Lanillos, Marcel van Gerven, Serge Thill
2025	J	`jnl`	Spiking neurons as predictive controllers of linear systems. CoRR Paolo Agliati, André Urbano, Pablo Lanillos, Nasir Ahmad, Marcel van Gerven, Sander W. Keemink
2025	J	`jnl`	Synchronization and Control in Bistable Oscillator Networks: Towards Epilepsy Regulation. IEEE Control. Syst. Lett. Zonglin Liu, Yuzhen Qin, Marcel van Gerven, Olaf Stursberg
2025	J	`jnl`	Universal differential equations as a unifying modeling language for neuroscience. Frontiers Comput. Neurosci. Ahmed El-Gazzar, Marcel van Gerven
2025	J	`jnl`	WavJEPA: Semantic learning unlocks robust audio foundation models for raw waveforms. CoRR Goksenin Yuksel, Pierre Guetschel, Michael Tangermann, Marcel van Gerven, Kiki van der Heijden
2024	—	`conf`	Analytical Characterization of Epileptic Dynamics in a Bistable System. CDC Yuzhen Qin, Ahmed ElGazzar, Danielle S. Bassett, Fabio Pasqualetti, Marcel van Gerven
2024	J	`jnl`	Analytical Characterization of Epileptic Dynamics in a Bistable System. CoRR Yuzhen Qin, Ahmed ElGazzar, Danielle S. Bassett, Fabio Pasqualetti, Marcel van Gerven
2024	J	`jnl`	Brain2GAN: Feature-disentangled neural encoding and decoding of visual perception in the primate brain. PLoS Comput. Biol. Thirza Dado, Paolo Papale, Antonio Lozano, Lynn Le, Feng Wang, Marcel van Gerven, Pieter R. Roelfsema, Yagmur Güçlütürk, Umut Güçlü
2024	J	`jnl`	Discovering Dynamic Symbolic Policies with Genetic Programming. CoRR Sigur de Vries, Sander W. Keemink, Marcel van Gerven
2024	J	`jnl`	Efficient Deep Learning with Decorrelated Backpropagation. CoRR Sander Dalm, Joshua Offergeld, Nasir Ahmad, Marcel van Gerven
2024	J	`jnl`	Energy-Efficient Spiking Recurrent Neural Network for Gesture Recognition on Embedded GPUs. CoRR Marzieh Hassanshahi Varposhti, Mahyar Shahsavari, Marcel van Gerven
2024	J	`jnl`	Fractional Order Distributed Optimization. CoRR Andrei Lixandru, Marcel van Gerven, Sergio Pequito
2024	J	`jnl`	Generative Modeling of Neural Dynamics via Latent Stochastic Differential Equations. CoRR Ahmed ElGazzar, Marcel van Gerven
2024	J	`jnl`	Gradient-Free Training of Recurrent Neural Networks using Random Perturbations. CoRR Jesús García Fernández, Sander W. Keemink, Marcel van Gerven
2024	J	`jnl`	Modeling and Detection of Critical Slowing Down in Epileptic Dynamics. CoRR Yuzhen Qin, Marcel van Gerven
2024	J	`jnl`	Noise-based Local Learning using Stochastic Magnetic Tunnel Junctions. CoRR Kees Koenders, Leo Schnitzpan, Fabian Kammerbauer, Sinan Shu, Gerhard Jakob, Mathis Kläui, Johan Mentink, Nasir Ahmad, Marcel van Gerven
2024	J	`jnl`	Ornstein-Uhlenbeck Adaptation as a Mechanism for Learning in Brains and Machines. CoRR Jesús García Fernández, Nasir Ahmad, Marcel van Gerven
2024	J	`jnl`	Ornstein-Uhlenbeck Adaptation as a Mechanism for Learning in Brains and Machines. Entropy Jesús García Fernández, Nasir Ahmad, Marcel van Gerven
2024	J	`jnl`	Oscillations in an artificial neural network convert competing inputs into a temporal code. PLoS Comput. Biol. Katharina Duecker, Marco Idiart, Marcel van Gerven, Ole Jensen
2024	J	`jnl`	Subspace Node Pruning. CoRR Joshua Offergeld, Marcel van Gerven, Nasir Ahmad
2024	J	`jnl`	Universal Differential Equations as a Common Modeling Language for Neuroscience. CoRR Ahmed ElGazzar, Marcel van Gerven
2023	—	`conf`	A 128-channel real-time VPDNN stimulation system for a visual cortical neuroprosthesis. BioCAS Hasan Mohamed, Bogdan C. Raducanu, Ilya Kiselev, Zuowen Wang, Burcu Küçükoglu, Bodo Rueckauer, Marcel van Gerven, Carolina Mora Lopez, Shih-Chii Liu
2023	J	`jnl`	Advancements in spiking neural network communication and synchronization techniques for event-driven neuromorphic systems. Array Mahyar Shahsavari, David B. Thomas, Marcel van Gerven, Andrew D. Brown, Wayne Luk
2023	J	`jnl`	Constrained Parameter Inference as a Principle for Learning. Trans. Mach. Learn. Res. Nasir Ahmad, Ellen Schrader, Marcel van Gerven
2023	J	`jnl`	Effective Learning with Node Perturbation in Deep Neural Networks. CoRR Sander Dalm, Marcel van Gerven, Nasir Ahmad
2023	J	`jnl`	Gradient-adjusted Incremental Target Propagation Provides Effective Credit Assignment in Deep Neural Networks. Trans. Mach. Learn. Res. Sander Dalm, Nasir Ahmad, Luca Ambrogioni, Marcel van Gerven
2022	J	`jnl`	Constrained Parameter Inference as a Principle for Learning. CoRR Nasir Ahmad, Ellen Schrader, Marcel van Gerven
2022	J	`jnl`	Efficient Deep Reinforcement Learning with Predictive Processing Proximal Policy Optimization. CoRR Burcu Küçükoglu, Walraaf Borkent, Bodo Rueckauer, Nasir Ahmad, Umut Güçlü, Marcel van Gerven
2022	—	`conf`	Experiencing Prosthetic Vision with Event-Based Sensors. ICONS Bodo Rueckauer, Marcel van Gerven
2022	J	`jnl`	Explainable Deep Learning: A Field Guide for the Uninitiated. J. Artif. Intell. Res. Gabrielle Ras, Ning Xie, Marcel van Gerven, Derek Doran
2022	—	`conf`	Learning Policies for Continuous Control via Transition Models. IWAI Justus F. Hübotter, Serge Thill, Marcel van Gerven, Pablo Lanillos
2022	J	`jnl`	Learning Policies for Continuous Control via Transition Models. CoRR Justus F. Hübotter, Serge Thill, Marcel van Gerven, Pablo Lanillos
2022	J	`jnl`	Optimization of Neuroprosthetic Vision via End-to-End Deep Reinforcement Learning. Int. J. Neural Syst. Burcu Küçükoglu, Bodo Rueckauer, Nasir Ahmad, Jaap de Ruyter van Steveninck, Umut Güçlü, Marcel van Gerven
2021	A	`conf`	Automatic structured variational inference. AISTATS Luca Ambrogioni, Kate Lin, Emily Fertig, Sharad Vikram, Max Hinne, Dave Moore, Marcel van Gerven
2021	A*	`conf`	Automatic variational inference with cascading flows. ICML Luca Ambrogioni, Gianluigi Silvestri, Marcel van Gerven
2021	J	`jnl`	Automatic variational inference with cascading flows. CoRR Luca Ambrogioni, Gianluigi Silvestri, Marcel van Gerven
2021	J	`jnl`	Brain-inspired Learning Drives Advances in Neuromorphic Computing. ERCIM News Nasir Ahmad, Bodo Rueckauer, Marcel van Gerven
2021	J	`jnl`	Detecting neural state transitions underlying event segmentation. NeuroImage Linda Geerligs, Marcel van Gerven, Umut Güçlü
2021	J	`jnl`	Neuroscience-inspired perception-action in robotics: applying active inference for state estimation, control and self-perception. CoRR Pablo Lanillos, Marcel van Gerven
2021	J	`jnl`	Scaling up learning with GAIT-prop. CoRR Sander Dalm, Nasir Ahmad, Luca Ambrogioni, Marcel van Gerven
2020	—	`conf`	A Deep Active Inference Model of the Rubber-Hand Illusion. IWAI Thomas Rood, Marcel van Gerven, Pablo Lanillos
2020	J	`jnl`	A deep active inference model of the rubber-hand illusion. CoRR Thomas Rood, Marcel van Gerven, Pablo Lanillos
2020	J	`jnl`	Automatic structured variational inference. CoRR Luca Ambrogioni, Max Hinne, Marcel van Gerven
2020	J	`jnl`	Explainable Deep Learning: A Field Guide for the Uninitiated. CoRR Ning Xie, Gabrielle Ras, Marcel van Gerven, Derek Doran
2020	A	`conf`	The Indian Chefs Process. UAI Patrick Dallaire, Luca Ambrogioni, Ludovic Trottier, Umut Güçlü, Max Hinne, Philippe Giguère, Marcel van Gerven, François Laviolette
2020	J	`jnl`	The Indian Chefs Process. CoRR Patrick Dallaire, Luca Ambrogioni, Ludovic Trottier, Umut Güçlü, Max Hinne, Philippe Giguère, Brahim Chaib-draa, Marcel van Gerven, François Laviolette
2020	—	`conf`	Virtual Staining for Mitosis Detection in Breast Histopathology. ISBI Caner Mercan, G. C. A. M. Mooij, David Tellez, Johannes Lotz, Nick Weiss, Marcel van Gerven, Francesco Ciompi
2020	J	`jnl`	Virtual staining for mitosis detection in Breast Histopathology. CoRR Caner Mercan, Germonda Reijnen-Mooij, David Tellez Martin, Johannes Lotz, Nick Weiss, Marcel van Gerven, Francesco Ciompi
2019	A	`conf`	Forward Amortized Inference for Likelihood-Free Variational Marginalization. AISTATS Luca Ambrogioni, Umut Güçlü, Julia Berezutskaya, Eva W. P. van den Borne, Yagmur Güçlütürk, Max Hinne, Eric Maris, Marcel van Gerven
2019	A	`conf`	SpikeCaKe: Semi-Analytic Nonparametric Bayesian Inference for Spike-Spike Neuronal Connectivity. AISTATS Luca Ambrogioni, Patrick Ebel, Max Hinne, Umut Güçlü, Marcel van Gerven, Eric Maris
2019	—	`conf`	Temporal Factorization of 3D Convolutional Kernels. BNAIC/BENELEARN Gabrielle Ras, Luca Ambrogioni, Umut Güçlü, Marcel van Gerven
2019	J	`jnl`	The functional role of cue-driven feature-based feedback in object recognition. CoRR Sushrut Thorat, Marcel van Gerven, Marius V. Peelen
2019	J	`jnl`	k-GANs: Ensemble of Generative Models with Semi-Discrete Optimal Transport. CoRR Luca Ambrogioni, Umut Güçlü, Marcel van Gerven
2018	J	`jnl`	Convolutional neural network-based encoding and decoding of visual object recognition in space and time. NeuroImage Katja Seeliger, M. Fritsche, Umut Güçlü, Sanne Schoenmakers, Jan-Mathijs Schoffelen, Sander E. Bosch, Marcel van Gerven
2018	J	`jnl`	Explanation Methods in Deep Learning: Users, Values, Concerns and Challenges. CoRR Gabrielle Ras, Marcel van Gerven, Pim Haselager
2018	J	`jnl`	Generalization of an Upper Bound on the Number of Nodes Needed to Achieve Linear Separability. CoRR Marjolein Troost, Katja Seeliger, Marcel van Gerven
2018	J	`jnl`	New advances in encoding and decoding of brain signals. NeuroImage Chris I. Baker, Marcel van Gerven
2018	J	`jnl`	Wasserstein Variational Gradient Descent: From Semi-Discrete Optimal Transport to Ensemble Variational Inference. CoRR Luca Ambrogioni, Umut Güçlü, Yagmur Güçlütürk, Marcel van Gerven
2017	J	`jnl`	Computational Foundations of Natural Intelligence. Frontiers Comput. Neurosci. Marcel van Gerven
2017	J	`jnl`	Deep adversarial neural decoding. CoRR Yagmur Güçlütürk, Umut Güçlü, Katja Seeliger, Sander E. Bosch, Rob van Lier, Marcel van Gerven
2017	J	`jnl`	Editorial: Artificial Neural Networks as Models of Neural Information Processing. Frontiers Comput. Neurosci. Marcel van Gerven, Sander M. Bohté
2017	—	`conf`	GP CaKe: Effective brain connectivity with causal kernels. NIPS Luca Ambrogioni, Max Hinne, Marcel van Gerven, Eric Maris
2016	—	`conf`	Brains on Beats. NIPS Umut Güçlü, Jordy Thielen, Michael Hanke, Marcel van Gerven, Marcel A. J. van Gerven
2016	J	`jnl`	Decoding of task-relevant and task-irrelevant intracranial EEG representations. NeuroImage Marieke E. van de Nieuwenhuijzen, Nikolai Axmacher, Jürgen Fell, Carina Renate Oehrn, Ole Jensen, Marcel van Gerven
2016	—	`conf`	Deep Disentangled Representations for Volumetric Reconstruction. ECCV Workshops (3) Edward Grant, Pushmeet Kohli, Marcel van Gerven
2016	J	`jnl`	Deep disentangled representations for volumetric reconstruction. CoRR Edward Grant, Pushmeet Kohli, Marcel van Gerven
2016	B	`conf`	Predicting and visualizing psychological attributions with a deep neural network. ICPR Edward Grant, Stephan Sahm, Mariam Zabihi, Marcel van Gerven
2015	—	`conf`	Hidden Markov Models for Reading Words from the Human Brain. PRNI Sanne Schoenmakers, Tom Heskes, Marcel van Gerven
2015	J	`jnl`	Predicting psychological attributions from face photographs with a deep neural network. CoRR Edward Grant, Stephan Sahm, Mariam Zabihi, Marcel van Gerven
2014	J	`jnl`	Gaussian mixture models and semantic gating improve reconstructions from human brain activity. Frontiers Comput. Neurosci. Sanne Schoenmakers, Umut Güçlü, Marcel van Gerven, Tom Heskes
2014	—	`conf`	Gaussian mixture models improve fMRI-based image reconstruction. PRNI Sanne Schoenmakers, Marcel van Gerven, Tom Heskes
2013	J	`jnl`	Linear reconstruction of perceived images from human brain activity. NeuroImage Sanne Schoenmakers, Markus Barth, Tom Heskes, Marcel van Gerven
2011	—	`conf`	A Markov Random Field Approach to Neural Encoding and Decoding. ICANN (2) Marcel van Gerven, Eric Maris, Tom Heskes
2011	J	`jnl`	Dynamic decoding of ongoing perception. NeuroImage Marcel van Gerven, Peter Kok, Floris P. de Lange, Tom Heskes
2010	—	`ch.`	Design Issues for Pen-Centric Interactive Maps. Interactive Collaborative Information Systems Louis Vuurpijl, Don Willems, Ralph Niels, Marcel van Gerven
2010	J	`jnl`	Neural Decoding with Hierarchical Generative Models. Neural Comput. Marcel van Gerven, Floris P. de Lange, Tom Heskes
2009	—	`conf`	Bayesian Source Localization with the Multivariate Laplace Prior. NIPS Marcel van Gerven, Botond Cseke, Robert Oostenveld, Tom Heskes
2009	B	`conf`	Exploring the impact of alternative feature representations on BCI classification. ESANN Ali Bahramisharif, Marcel van Gerven, Tom Heskes
2009	J	`jnl`	Iconic and multi-stroke gesture recognition. Pattern Recognit. Don Willems, Ralph Niels, Marcel van Gerven, Louis Vuurpijl
2009	J	`jnl`	Interpreting single trial data using groupwise regularisation. NeuroImage Marcel van Gerven, Christian Hesse, Ole Jensen, Tom Heskes
2009	J	`jnl`	Selecting features for BCI control based on a covert spatial attention paradigm. Neural Networks Marcel van Gerven, Ali Bahramisharif, Tom Heskes, Ole Jensen
2008	J	`jnl`	A generic qualitative characterization of independence of causal influence. Int. J. Approx. Reason. Marcel van Gerven, Peter J. F. Lucas, Theo P. van der Weide
2008	J	`jnl`	Dynamic Bayesian networks as prognostic models for clinical patient management. J. Biomed. Informatics Marcel van Gerven, Babs G. Taal, Peter J. F. Lucas
2007	J	`jnl`	Predicting carcinoid heart disease with the noisy-threshold classifier. Artif. Intell. Medicine Marcel van Gerven, Rasa Jurgelenaite, Babs G. Taal, Tom Heskes, Peter J. F. Lucas
2007	J	`jnl`	Selecting treatment strategies with dynamic limited-memory influence diagrams. Artif. Intell. Medicine Marcel van Gerven, Francisco Javier Díez, Babs G. Taal, Peter J. F. Lucas
2006	—	`conf`	Selecting Strategies for Infinite-Horizon Dynamic LIMIDS. Probabilistic Graphical Models Marcel van Gerven, Francisco Javier Díez
2005	C	`conf`	A Qualitative Characterisation of Causal Independence Models Using Boolean Polynomials. ECSQARU Marcel van Gerven, Peter J. F. Lucas, Theo P. van der Weide
2005	—	`conf`	Guidelines for Probabilistic Model Qualification. BNAIC Marcel van Gerven
2004	—	`conf`	Employing Maximum Mutual Information for Bayesian Classification. ISBMDA Marcel van Gerven, Peter J. F. Lucas
2004	—	`conf`	Using Background Knowledge to Construct Bayesian Classifiers for Data-Poor Domains. SGAI Conf. Marcel van Gerven, Peter J. F. Lucas