Jakob Verbeek

I am a senior researcher at Inria Grenoble working on machine learning and computer vision in the Thoth research team.

Project page for convolutional neural fabrics

My publications on Google Scholar , arXiv , HAL , DBLP.

Some recent papers

Publications HAL de verbeek de cordelia,schmid;jakob,verbeek;matthijs,douze;zaid,harchaoui;thomas,mensink;remi,ronfard;laurent,zwald;frederic,jurie;roger,mohr du labo/EPI 2398;44942

titre: Probabilistic Reconstruction Networks for 3D Shape Inference from a Single Image
auteur: Roman Klokov, Jakob Verbeek, Edmond Boyer
article: BMVC 2019 - British Machine Vision Conference, Sep 2019, Cardiff, United Kingdom
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titre: Adaptative Inference Cost With Convolutional Neural Mixture Models
auteur: Adrià Ruiz, Jakob Verbeek
article: International Conference on Computer Vision (ICCV), 2019, Seoul, South Korea
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titre: Understanding Priors in Bayesian Neural Networks at the Unit Level
auteur: Mariia Vladimirova, Jakob Verbeek, Pablo Mesejo, Julyan Arbel
article: ICML 2019 - 36th International Conference on Machine Learning, Jun 2019, Long Beach, CA, United States. pp.6458-6467, ⟨10.05193⟩
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titre: Adversarial training of partially invertible variational autoencoders
auteur: Thomas Lucas, Konstantin Shmelkov, Karteek Alahari, Cordelia Schmid, Jakob Verbeek
article: INNF'19: Workshop on Invertible Neural Nets and Normalizing Flows (at ICML'19), Jun 2019, Long Beach, United States
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