Dounia Lakhmiri
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Cahiers du GERAD
Jun 2022
We consider the problem of training a deep neural network with nonsmooth regularization to retrieve a sparse and efficient sub-structure. Our regularizer is ...
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Mar 2021
Dounia Lakhmiri and Sébastien Le Digabel
Optimizing the hyperparameters and architecture of a neural network is a long yet necessary phase in the development of any new application. This consuming p...
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Jun 2020
The Mars Curiosity rover is frequently sending back engineering and science data that goes through a pipeline of systems before reaching its final destinati...
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Jul 2019
G-2019-46
HyperNOMAD: Hyperparameter optimization of deep neural networks using mesh adaptive direct search
HyperNOMAD: Hyperparameter optimization of deep neural networks using mesh adaptive direct search
The performance of deep neural networks is highly sensitive to the choice of the hyperparameters that define the structure of the network and the learning pr...
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Mar 2022
Dounia Lakhmiri, Ryan Alimo, and Sébastien Le Digabel
Expert Systems with Applications, 168, Paper no: 116060, 2022
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Mar 2022
Dounia Lakhmiri and Sébastien Le Digabel
Operations Research Forum, 3(1), Paper no: 11, 2022
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Jun 2021
Dounia Lakhmiri, Sébastien Le Digabel, and Christophe Tribes
ACM Transactions on Mathematical Software, 47(3), 27 pages, 2021
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