Marcel van Gerven
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
12
Venues
10
Active years
2004–2026
Best venue rank
A*
Where they publish
Papers
12 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | GECCO | Emergence Of Internal State-Modulated Swarming In Multi-Agent Patch Foraging System. | Siddharth Chaturvedi, Ahmed El-Gazzar, Marcel van Gerven |
| 2021 | AISTATS | Automatic structured variational inference. | Luca Ambrogioni, Kate Lin, Emily Fertig, Sharad Vikram, Max Hinne, Dave Moore, Marcel van Gerven |
| 2021 | ICML | Automatic variational inference with cascading flows. | Luca Ambrogioni, Gianluigi Silvestri, Marcel van Gerven |
| 2020 | UAI | The Indian Chefs Process. | Patrick Dallaire, Luca Ambrogioni, Ludovic Trottier, Umut Gl, Max Hinne, Philippe Gigure, Marcel van Gerven, Franois Laviolette |
| 2019 | AISTATS | SpikeCaKe: Semi-Analytic Nonparametric Bayesian Inference for Spike-Spike Neuronal Connectivity. | Luca Ambrogioni, Patrick Ebel, Max Hinne, Umut Gl, Marcel van Gerven, Eric Maris |
| 2019 | AISTATS | Forward Amortized Inference for Likelihood-Free Variational Marginalization. | Luca Ambrogioni, Umut Gl, Julia Berezutskaya, Eva W. P. van den Borne, Yagmur Gltrk, Max Hinne, Eric Maris, Marcel van Gerven |
| 2016 | ECCV | Deep Disentangled Representations for Volumetric Reconstruction. | Edward Grant, Pushmeet Kohli, Marcel van Gerven |
| 2016 | ICPR | Predicting and visualizing psychological attributions with a deep neural network. | Edward Grant, Stephan Sahm, Mariam Zabihi, Marcel van Gerven |
| 2011 | ICANN | A Markov Random Field Approach to Neural Encoding and Decoding. | Marcel van Gerven, Eric Maris, Tom Heskes |
| 2009 | ESANN | Exploring the impact of alternative feature representations on BCI classification. | Ali Bahramisharif, Marcel van Gerven, Tom Heskes |
| 2005 | ECSQARU | A Qualitative Characterisation of Causal Independence Models Using Boolean Polynomials. | Marcel van Gerven, Peter J. F. Lucas, Theo P. van der Weide |
| 2004 | SGAI | Using Background Knowledge to Construct Bayesian Classifiers for Data-Poor Domains. | Marcel van Gerven, Peter J. F. Lucas |