%0 Thesis %1 phd/hal/Stock21 %A Stock, Pierre %D 2021 %K dblp %T Efficiency and Redundancy in Deep Learning Models: Theoretical Considerations and Practical Applications. (Efficience et redondance dans les modèles d'apprentissage profond : considérations théoriques et applications pratiques).

@phdthesis{phd/hal/Stock21, added-at = {2021-05-25T00:00:00.000+0200}, author = {Stock, Pierre}, biburl = {https://www.bibsonomy.org/bibtex/2c224da11a9202f11fd0a415044c4ea18/dblp}, ee = {https://tel.archives-ouvertes.fr/tel-03208517}, interhash = {4072ad84defee4bd1f67f30c160567f1}, intrahash = {c224da11a9202f11fd0a415044c4ea18}, keywords = {dblp}, school = {École normale supérieure de Lyon, France}, timestamp = {2024-04-09T09:06:32.000+0200}, title = {Efficiency and Redundancy in Deep Learning Models: Theoretical Considerations and Practical Applications. (Efficience et redondance dans les modèles d'apprentissage profond : considérations théoriques et applications pratiques).}, year = 2021 }