HyperNOMAD: Hyperparameter Optimization of Deep Neural Networks Using Mesh Adaptive Direct Search D Lakhmiri, S Le Digabel, C Tribes ACM Transactions on Mathematical Software 47 (3), 1-27, 2021 | 45 | 2021 |
Anomaly detection for data accountability of Mars telemetry data D Lakhmiri, R Alimo, S Le Digabel Expert Systems with Applications 189, 116060, 2022 | 9* | 2022 |
Automated data accountability for missions in Mars rover data R Alimo, D Sam, D Lakhmiri, B Kahovec, D Divsalar 2021 IEEE Aerospace Conference (50100), 1-8, 2021 | 6 | 2021 |
Use of static surrogates in hyperparameter optimization D Lakhmiri, S Le Digabel Operations Research Forum 3 (1), 11, 2022 | 4 | 2022 |
Efficient training under limited resources M Zolnouri, D Lakhmiri, C Tribes, E Sari, SL Digabel arXiv preprint arXiv:2301.09264, 2023 | 1 | 2023 |
A stochastic proximal method for nonsmooth regularized finite sum optimization D Lakhmiri, D Orban, A Lodi arXiv preprint arXiv:2206.06531, 2022 | 1 | 2022 |
Scaling Deep Networks with the Mesh Adaptive Direct Search algorithm D Lakhmiri, M Zolnouri, VP Nia, C Tribes, SL Digabel arXiv preprint arXiv:2301.06641, 2023 | | 2023 |
SR2: Stochastic Proximal Optimizer for Non-smooth Regularized finite sum problems D Lakhmiri, D Orban, A Lodi https://github.com/DouniaLakhmiri/SR2, 2022 | | 2022 |
HyperNOMAD: Hyperparameter optimization of deep neural networks D Lakhmiri, S Le Digabel, C Tribes https://github.com/bbopt/HyperNOMAD, 2021 | | 2021 |
Optimisation des hyperparamètres des réseaux de neurones profonds D Lakhmiri Ecole Polytechnique, Montreal (Canada), 2021 | | 2021 |
Un environnement pour l'optimisation sans dérivées D Lakhmiri Ecole Polytechnique, Montreal (Canada), 2016 | | 2016 |