Y
Yassine Marrakchi
Researcher at University of Freiburg
Publications - 13
Citations - 1678
Yassine Marrakchi is an academic researcher from University of Freiburg. The author has contributed to research in topics: Optimization problem & Leverage (statistics). The author has an hindex of 6, co-authored 11 publications receiving 1002 citations. Previous affiliations of Yassine Marrakchi include Karlsruhe Institute of Technology.
Papers
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Journal ArticleDOI
U-Net: deep learning for cell counting, detection, and morphometry
Thorsten Falk,Dominic Mai,Robert Bensch,Özgün Çiçek,Ahmed Abdulkadir,Ahmed Abdulkadir,Yassine Marrakchi,Anton Böhm,Jan Deubner,Zoe Jäckel,Katharina Seiwald,Alexander Dovzhenko,Olaf Tietz,Cristina Dal Bosco,Sean Walsh,Deniz Saltukoglu,Tuan Leng Tay,Marco Prinz,Klaus Palme,Matias Simons,Ilka Diester,Thomas Brox,Olaf Ronneberger +22 more
TL;DR: An ImageJ plugin is presented that enables non-machine-learning experts to analyze their data with U-Net on either a local computer or a remote server/cloud service.
Proceedings Article
Understanding and Robustifying Differentiable Architecture Search
TL;DR: It is shown that by adding one of various types of regularization to DARTS, one can robustify DARTS to find solutions with less curvature and better generalization properties, and proposes several simple variations of DARTS that perform substantially more robustly in practice.
Journal ArticleDOI
Author Correction: U-Net: deep learning for cell counting, detection, and morphometry.
Thorsten Falk,Dominic Mai,Robert Bensch,Özgün Çiçek,Ahmed Abdulkadir,Ahmed Abdulkadir,Yassine Marrakchi,Anton Böhm,Jan Deubner,Zoe Jäckel,Katharina Seiwald,Alexander Dovzhenko,Olaf Tietz,Cristina Dal Bosco,Sean Walsh,Deniz Saltukoglu,Tuan Leng Tay,Marco Prinz,Klaus Palme,Matias Simons,Ilka Diester,Thomas Brox,Olaf Ronneberger +22 more
TL;DR: Corrections have been made in the PDF and HTML versions of the article, as well as in any cover sheets for associated Supplementary Information.
Proceedings ArticleDOI
AutoDispNet: Improving Disparity Estimation With AutoML
TL;DR: In this article, the authors leverage gradient-based neural architecture search and Bayesian optimization for hyperparameter search to optimize large-scale U-Net-like encoder-decoder architectures.
Posted Content
Understanding and Robustifying Differentiable Architecture Search
TL;DR: Differentiable architecture search (DARTS) has attracted a lot of attention due to its simplicity and small search costs achieved by a continuous relaxation and an approximation of the resulting bi-level optimization problem.