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Dounia Lakhmiri
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2020 – today
- 2023
- [i6]Dounia Lakhmiri, Mahdi Zolnouri, Vahid Partovi Nia, Christophe Tribes, Sébastien Le Digabel:
Scaling Deep Networks with the Mesh Adaptive Direct Search algorithm. CoRR abs/2301.06641 (2023) - [i5]Mahdi Zolnouri, Dounia Lakhmiri, Christophe Tribes, Eyyüb Sari, Sébastien Le Digabel:
Efficient Training Under Limited Resources. CoRR abs/2301.09264 (2023) - 2022
- [j3]Dounia Lakhmiri, Ryan Alimo, Sébastien Le Digabel:
Anomaly detection for data accountability of Mars telemetry data. Expert Syst. Appl. 189: 116060 (2022) - [j2]Dounia Lakhmiri, Sébastien Le Digabel:
Use of Static Surrogates in Hyperparameter Optimization. Oper. Res. Forum 3(1) (2022) - [i4]Dounia Lakhmiri, Dominique Orban, Andrea Lodi:
A Stochastic Proximal Method for Nonsmooth Regularized Finite Sum Optimization. CoRR abs/2206.06531 (2022) - 2021
- [j1]Dounia Lakhmiri, Sébastien Le Digabel, Christophe Tribes:
HyperNOMAD: Hyperparameter Optimization of Deep Neural Networks Using Mesh Adaptive Direct Search. ACM Trans. Math. Softw. 47(3): 27:1-27:27 (2021) - [i3]Dounia Lakhmiri, Sébastien Le Digabel:
Use of static surrogates in hyperparameter optimization. CoRR abs/2103.07963 (2021) - 2020
- [i2]Dounia Lakhmiri, Ryan Alimo, Sébastien Le Digabel:
Tuning a variational autoencoder for data accountability problem in the Mars Science Laboratory ground data system. CoRR abs/2006.03962 (2020)
2010 – 2019
- 2019
- [i1]Dounia Lakhmiri, Sébastien Le Digabel, Christophe Tribes:
HyperNOMAD: Hyperparameter optimization of deep neural networks using mesh adaptive direct search. CoRR abs/1907.01698 (2019)
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