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1

Disentangling private classes through regularization:

Tartaglione, Enzo ; Gennari, Francesca ; Quétu, Victor.
Neurocomputing. 554 (2023) - p. 126612 , 2023

Link: https://doi.org/10.1016/..

2

Dodging the Double Descent in Deep Neural Networks:

, In: 2023 IEEE International Conference on Image Processing (ICIP),

Quetu, Victor ; Tartaglione, Enzo - p. 1625-1629 , 2023

Link: https://doi.org/10.1109/..

3

Sparse Double Descent in Vision Transformers: Real or Phant..:

, In: Image Analysis and Processing – ICIAP 2023; Lecture Notes in Computer Science,

Quétu, Victor ; Milovanović, Marta ; Tartaglione, Enzo - p. 490-502 , 2023

Link: https://doi.org/10.1007/..

4

Can Unstructured Pruning Reduce the Depth in Deep Neural Ne..:

, In: 2023 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW),

Liao, Zhu ; Quetu, Victor ; Nguyen, Van-Tam. - p. 1394-1398 , 2023

Link: https://doi.org/10.1109/..

5

The Quest of Finding the Antidote to Sparse Double Descent:

Quétu, Victor ; Milovanović, Marta
http://arxiv.org/abs/2308.16596. , 2023

Link: http://arxiv.org/abs/230..

6

Sparse Double Descent in Vision Transformers: real or phant..:

Quétu, Victor ; Milovanovic, Marta ; Tartaglione, Enzo
http://arxiv.org/abs/2307.14253. , 2023

Link: http://arxiv.org/abs/230..

7

DSD$^2$: Can We Dodge Sparse Double Descent and Compress th..:

Quétu, Victor ; Tartaglione, Enzo
http://arxiv.org/abs/2303.01213. , 2023

Link: http://arxiv.org/abs/230..

8

Can Unstructured Pruning Reduce the Depth in Deep Neural Ne..:

Liao, Zhu ; Quétu, Victor ; Nguyen, Van-Tam.
http://arxiv.org/abs/2308.06619. , 2023

Link: http://arxiv.org/abs/230..

9

Can we avoid Double Descent in Deep Neural Networks?:

Quétu, Victor ; Tartaglione, Enzo
http://arxiv.org/abs/2302.13259. , 2023

Link: http://arxiv.org/abs/230..

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